JPWO2014155575A1 - Trial calculation device and trial calculation method - Google Patents

Abstract

The electricity charge at the house is accurately estimated by reflecting the presence or absence of HEMS, a storage battery system, and V2H that exchanges electric power between the electric vehicle and the house. The computer for calculating the electricity bill at the house presents the candidate presentation unit 2 that presents the user with or without installation of HEMS, storage battery system and V2H as candidates for the house specification, and the user's response to the candidate presented by the candidate presentation unit 2 And a trial calculation unit 4 that reads out the housing-related data indicating the employment result from the storage unit 6 and calculates the electricity rate according to the employment result indicated by the data. Then, the trial calculation unit 4 reads out master management data indicating the use form of each system stored in the storage unit 6 when the housing-related data indicating that the installation is provided for each system is stored in the storage unit 6. The electricity bill is estimated using the usage pattern indicated by the data as input information.

Description

  The present invention relates to a trial calculation device and a trial calculation method for estimating the usage fee of energy used in a building, and in particular, a trial calculation device capable of estimating an energy usage fee when various systems are introduced to a building. And a trial calculation method.

  People's interest in utility costs is high, especially in Japan, after the Great East Japan Earthquake, the unit price of electricity has soared due to a decline in power supply capacity due to the nuclear power plant shutdown, and interest in utility costs has become even higher. For this reason, there is a demand for a technique for accurately calculating the utility cost according to one's own lifestyle and living environment.

  In recent years, there have been an increasing number of cases where private power generation equipment, exhaust heat recovery equipment, and the like are installed on the site of a building. In other words, when planning the construction or renovation of a building, the introduction of private power generation equipment or exhaust heat recovery equipment, etc., may be considered. , Has decided the necessity. In addition, in order to prepare for emergencies such as power outages and disasters, introduction of the above equipment may be considered.

  In the background as described above, in recent years, a technique for predicting the utility cost when a solar power generation facility or a cogeneration facility is introduced has been developed (for example, see Patent Documents 1 to 3). According to the programs disclosed in Patent Documents 1 to 3, the energy when introducing solar power generation facilities and cogeneration facilities when predicting the utility costs in a house according to the lifestyle of the resident and the house specifications It is possible to estimate the utility cost considering the reduction effect.

  Using the utility cost forecasting program as described above, the estimated utility costs are referred to at the stage of building construction and renovation, and based on the estimated results, the necessity of photovoltaic power generation facilities and cogeneration facilities is determined. It is possible to make an appropriate judgment. That is, the estimated value of the utility cost calculated by the programs disclosed in Patent Documents 1 to 3 becomes a judgment material when examining the necessity of the photovoltaic power generation facility or the cogeneration facility.

JP 2010-282546 A Japanese Patent No. 4068731 Japanese Patent No. 4153897

  On the other hand, in recent years, as equipment to improve the energy usage status in buildings, energy management systems that monitor the energy usage status in buildings such as houses and buildings such as smart houses, energy storage systems, etc. have been installed. Developed energy self-sufficiency system that stores energy if necessary and supplies energy to the load in the building, and energy supply system that mutually supplies energy between the vehicle and the building, such as V2H (Vehicle to Home) Has been. When these systems are introduced, of course, the utility cost will be affected. However, the programs disclosed in Patent Documents 1 to 3 do not correspond to the presence / absence of the installation of the above system, so that It is difficult to estimate the utility cost reflecting the information. For this reason, at present, it is difficult to obtain useful information (determination material) when examining the necessity of introducing the above-described system.

  In recent years, there are cases where multiple rate plans have been set for the unit price of power supplied from a commercial power source (hereinafter also referred to as grid power). It is possible to select an appropriate rate plan according to the energy consumption pattern. On the other hand, if any of the energy management system, energy self-sufficiency system, or energy mutual supply system described above is introduced, the grid power consumption will change accordingly. May vary depending on the presence or absence of the above system.

Therefore, the present invention has been made in view of the above-described problems, and its object is to reflect the presence or absence of energy-related systems such as the energy management system, energy self-sufficiency system, and energy mutual supply system described above. It is an object to provide a trial calculation device and a trial calculation method capable of accurately calculating a usage fee of energy in a building.
Another object of the present invention is to present an optimal rate plan according to the presence or absence of the energy-related system when a plurality of rate plans are set for the unit price of system power.

  According to the trial calculation device of the present invention, the above-described problem is a trial calculation device for trial calculation of a usage fee for energy used in a building, a candidate presentation unit for presenting candidates regarding the specifications of the building to the user, and the candidate A storage unit that stores first data indicating a user's adoption result for the candidate presented by the presentation unit, and the usage fee according to the adoption result indicated by the first data by reading the first data from the storage unit A candidate calculation unit, an energy management system for notifying energy usage in the building, an energy self-sufficiency system for storing energy and supplying it to a load in the building, and from the building At least among energy mutual supply systems that mutually supply energy between a vehicle that receives energy and travels and the building. Whether or not one system is installed is presented as the candidate, and when the first data indicating that the at least one system is installed is stored in the storage unit, the trial calculation unit is stored in the storage unit. The problem is solved by reading the stored second data indicating the usage pattern of the at least one system and calculating the usage fee using the usage pattern indicated by the second data as input information.

  According to the above estimation device, when at least one of an energy management system, an energy self-sufficiency system, and an energy mutual supply system is installed in a building, the energy usage fee is estimated in consideration of the usage form of the system. It becomes possible to do. That is, with the above trial calculation device, it is possible to accurately estimate the energy usage fee in the building reflecting the presence or absence of the energy-related system.

Further, in the trial calculation device, the energy management system is a power management system that notifies advice information for reducing the power usage amount together with the power usage amount in the building, and the candidate presentation unit includes the power management system. When the first data indicating that the power management system is installed is stored in the storage unit as a candidate indicating whether or not a system is installed, the degree that the user follows the advice information It is also possible to read out the second data indicating a parameter that changes according to the value from the storage unit and to estimate the usage fee using the parameter indicated by the second data as input information.
The amount of power used changes according to the degree of user's compliance with the advice information notified by the power management system (for example, whether it follows the advice information as much as possible, whether it follows a certain extent, or not at all), and the electricity price also changes accordingly. To do. Even in such a case, with the above-described configuration, it is possible to accurately calculate the electricity bill reflecting the degree to which the user follows the advice information.

Moreover, in the trial calculation device, the energy self-sufficiency system is a power self-sufficiency system including a power storage device that stores power and discharges the stored power toward a load in the building, and the candidate presentation unit includes: Whether the power self-sufficiency system is installed is presented as the candidate, and when the first data indicating that the power self-sufficiency system is installed is stored in the storage unit, the trial calculation unit Reading the second data indicating at least one of the capacity and the operation schedule of the power storage device from the storage unit and calculating the usage fee using the at least one information indicated by the second data as input information It is good.
According to the above configuration, it is possible to accurately calculate the electricity bill reflecting whether or not the power storage device is installed and, if installed, the capacity and storage / discharge time of the power storage device.

Further, in the trial calculation device, the candidate presentation unit further presents as a candidate whether or not a power generation device that generates power within the site of the building is present, and the storage unit includes the installation of the power generation device. The second data indicating the operation schedule when present is stored, the first data indicating that the energy self-sufficiency system is installed, and the first data indicating that the power generator is installed. Is stored in the storage unit, the trial calculation unit reads the second data indicating the operation schedule from the storage unit, and the operation schedule when the power generation device indicated by the second data is installed It is good also as calculating the said usage charge by using as input information.
According to the above configuration, it is possible to accurately calculate the electricity bill when the power storage device and the power generation device are used in combination.

Moreover, in the trial calculation device, the energy mutual supply system is an electric power mutual supply system that supplies electric power to each other between the electric vehicle as the vehicle and the building, and the candidate presentation unit includes the electric power supply system. Whether the mutual supply system is installed is presented as the candidate, and when the first data indicating that the mutual power supply system is installed is stored in the storage unit, the trial calculation unit Reading the second data indicating at least one of the usage time, the charging time for the electric vehicle, and the time for supplying power from the electric vehicle to the building from the storage unit, the second data indicates The usage fee may be estimated using at least one time as input information.
According to the above configuration, it is possible to accurately calculate the electric charge reflecting the usage time of the electric vehicle, the charging time for the electric vehicle, and the time for supplying power from the electric vehicle to the building.

In the trial calculation device, the storage unit stores unit price data indicating a unit price of electric power supplied from a commercial power source for each of the rate plans set for the unit price, and the trial calculation unit stores the rate plan. Another unit price data may be read from the storage unit, and the usage fee may be estimated for each rate plan using the unit price indicated by the unit price data as input information.
According to the above configuration, when multiple rate plans are set for the unit price of grid power, the electricity rate is estimated for each rate plan, and the optimum result is calculated by comparing the estimated results between the rate plans. It becomes possible to specify the rate plan. In other words, with the above configuration, it is possible to present an optimal rate plan according to the presence or absence of an energy-related system when a plurality of rate plans are set for the unit price of system power.

In the trial calculation apparatus, the unit price varies within a day, and the peak value of the unit price corresponds to the power demand of the commercial power source on the application date of the peak value. The dynamic pricing is determined, and the storage unit stores statistical data related to the power demand, and the trial calculation unit calculates the power demand based on the statistical data read from the storage unit. Predicting, specifying the peak value from the prediction result of the power demand, and calculating the usage fee when the price plan is set to the dynamic pricing with the specified peak value as input information may be used.
According to the above configuration, the peak value of the power unit price is specified from the statistical data of the power demand, and based on the peak value, the electricity price when the rate plan is set to dynamic pricing is estimated. In other words, with the above configuration, it is possible to appropriately calculate the electricity rate when the rate plan is set to dynamic pricing.

In addition, according to the trial calculation method of the present invention, the above-described problem is a trial calculation method for calculating a usage fee of energy used in a building using a computer, wherein the computer selects candidates for the specification of the building as a user. And the computer reads out the first data indicating the user's adoption result for the candidate from the storage unit in the computer and calculates the usage fee according to the adoption result indicated by the first data. And in the step of presenting the candidate to the user, the computer uses an energy usage notification system for notifying the energy usage in the building, and an energy self-sufficiency system for storing energy and supplying it to the load in the building And a vehicle that receives energy from the building and travels between the building and the building. Among the energy mutual supply systems that supply energy, whether or not at least one system is installed is presented as the candidate, and the first data indicating that the at least one system is installed is stored in the storage unit. In the step of calculating the usage fee, the computer reads out the second data indicating the at least one usage mode stored in the storage unit, and inputs the usage mode indicated by the second data as input information. It is solved by calculating the usage fee as follows.
According to the above method, when installing at least one of an energy management system, an energy self-sufficiency system, and an energy mutual supply system for a building, the energy usage fee is accurately determined in consideration of the usage form of the system. It is possible to make a trial calculation.

ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to estimate the energy usage fee in a building accurately reflecting the presence or absence of each of an energy management system, an energy self-sufficiency system, and an energy mutual supply system.
Further, according to the present invention, when a plurality of rate plans are set for the unit price of system power, it is possible to present an optimal rate plan according to the presence or absence of an energy-related system.

It is the figure which showed the conceptual diagram of the trial calculation apparatus which concerns on one Embodiment of this invention. It is the figure which showed the hardware constitutions of the trial calculation apparatus which concerns on one Embodiment of this invention. It is the figure which showed the structure of the trial calculation apparatus which concerns on one Embodiment of this invention from the functional surface. It is the figure which showed the structure of the data memorize | stored in the memory | storage part of the trial calculation apparatus which concerns on one Embodiment of this invention. It is the figure which showed the example of the input screen of the information required for trial calculation (the 1). It is the figure which showed the example of the input screen of the information required for trial calculation (the 2). It is the figure which showed an example of local environment data. It is the figure which showed an example of the power unit price data. It is the figure which showed an example of the housing structure data. It is the figure which showed an example of the reduction rate table. It is the figure which showed an example of storage battery data. It is the figure which showed an example of EV utilization data. It is the figure which showed an example of the electric power generating apparatus data regarding a solar cell. It is the figure which showed an example of the electric power generating apparatus data regarding a fuel cell. It is the figure which showed the procedure at the time of calculating an annual electricity bill. It is the figure which showed the flow regarding the trial calculation process of an annual electricity bill (the 1). It is the figure which showed the flow regarding the trial calculation process of an annual electricity bill (the 2). It is the figure which showed the flow regarding the trial calculation process of an annual electricity bill (the 3). It is the figure which showed the calculation procedure at the time of the power unit price peak at the time of dynamic pricing selection. It is the figure which showed the example of a change of a reduction rate table.

  Hereinafter, a trial calculation device and a trial calculation method according to an embodiment of the present invention (hereinafter, this embodiment) will be described with reference to the drawings. Note that, in the following description, a case where a usage charge of energy used in a house, which is an example of a building, in particular, an electricity charge is estimated will be described as an example. However, a house is merely an example of a building, and the present invention can be applied to a case where a usage fee for energy in a building other than a house, for example, a commercial building, a building in a factory, a store, or the like is estimated. The term “house” is a concept including a single-family house and a room in an apartment house such as a condominium.

<Outline of Trial Calculation Device and Trial Calculation Method According to this Embodiment>
First, the trial calculation device and the trial calculation method according to the present embodiment will be outlined.
A trial calculation device (hereinafter, this device) 1 according to the present embodiment is used as, for example, a sales support tool for a housing company, and as shown in FIG. The result of the trial calculation of the usage fee (annual electricity fee) is presented to the user. Here, the user is a person who uses the result of the trial calculation of the annual electricity bill, and specifically, a customer who is considering the purchase or renovation of a house, or energy such as HEMS, storage battery system and V2H, which will be described later. Customers who are considering introducing related systems.
In addition, the annual electricity bill is the electricity bill calculated in a year unit, the electricity bill calculated in a month unit for 12 months, the electricity bill calculated in a day unit for 365 days, Either may be sufficient.

And the feature point of this apparatus 1 is that it is possible to estimate the electricity bill in consideration of whether to introduce energy related systems such as HEMS, storage battery system and V2H, which will be described later, or in the case of introducing energy related systems. is there. Here, the energy-related system is a system in which the presence / absence and usage of the system affect the amount of electricity used in the house and the annual electricity bill.
For example, the user considers whether or not to introduce an energy-related system when considering the purchase or renovation of a house. In addition, it is possible to appropriately determine whether or not to introduce the system.

  Specifically, as shown in FIG. 1, the present apparatus 1 calculates an annual electricity charge when an energy-related system is introduced (in FIG. 1, an annual electricity charge when a HEMS and a storage battery system are introduced). The result of the trial calculation is presented to the user. Moreover, this apparatus 1 estimates the annual electricity bill when not introducing all energy related systems, and shows the result to the user as a reference fee. Furthermore, the present apparatus 1 calculates a difference (announced as merit in FIG. 1) between annual electricity charges when the energy-related system is introduced and when it is not introduced, and notifies the user of the difference. As a result, the user can visually recognize the annual electricity bill and the introduction effect when the energy-related system is introduced, and can determine whether or not it is necessary to introduce the energy-related system based on such information.

By the way, as shown in FIG. 1, the present apparatus 1 is composed of a computer, specifically, a personal computer P owned by a salesperson (hereinafter referred to as a staff) of a housing company. Data and programs necessary for this are stored.
In other words, the trial calculation method according to the present embodiment is a trial calculation of the electricity charge using a computer. Specifically, the electricity charge is obtained by reading and executing a program recorded in the computer. A trial calculation process is executed.

  In addition, the computer which comprises this apparatus 1 is not limited to the personal computer P which a staff owns, For example, the case using what is called a cloud service may be sufficient. That is, the personal computer P owned by the staff is connected to an external server (for example, an ASP server managed by a housing company) via the Internet, the external server calculates the electricity bill, and the staff owns the result of the trial calculation. It may be received on the personal computer P side. Further, the computer is not limited to the personal computer P, and a mobile terminal such as a smartphone or a tablet can be used.

In addition, when calculating the electricity bill, the personal computer P owned by the staff accepts a user input operation via an input device such as a keyboard, a mouse, or a touch panel. This input operation is performed in order to input information necessary for estimating the electricity bill, and specifically, is performed through an input screen illustrated in FIGS. 5 and 6 described later.
Note that the above-described input operation may be performed directly by the user or may be performed on behalf of the user after the staff listens to the user's opinion.

<About the configuration of this device>
Next, the configuration of the apparatus 1 will be described.
As described above, the apparatus 1 is configured by the personal computer P owned by the staff. The hardware configuration of the personal computer P will be described. As shown in FIG. 2, the CPU 10, the ROM 11, the RAM 12, the hard disk 13, and the input device 14. And an output device 15. The CPU 10 reads a program stored in the ROM 11 or the hard disk 13 and executes various processes. The program includes a program for calculating an electricity bill (hereinafter referred to as a trial calculation program). .

The RAM 12 stores data necessary for the CPU 10 to execute various processes, and the data includes data indicating user input information received via the input device 14. Yes.
The hard disk 13 is one of auxiliary storage devices, and includes various programs including the above-described trial calculation program and various data necessary for executing the trial calculation program (specifically, for trial calculation described later). A database 20) is stored. The auxiliary storage device may be a medium other than the hard disk 13, for example, a medium that can be attached to and detached from the personal computer P such as an SSD (Solid State Drive) or a flash memory.

The input device 14 is composed of a pointing device such as a keyboard and a mouse, and accepts a user operation performed to input information necessary for the calculation of the electricity bill as described above. The input device 14 also accepts user operations performed to rewrite data stored in the hard disk 13.
The output device 15 is configured by an input screen for a user to perform an input operation, a display for displaying a trial calculation result of an electricity bill, and a printer for printing the trial calculation result on a medium such as paper.

The configuration of the apparatus 1 described above will be described again from the functional aspect.
As shown in FIG. 3, the present apparatus 1 includes a candidate presentation unit 2 that presents a user with candidates related to house specifications to allow the user to input information necessary for the calculation of electricity bills, and a candidate presented by the candidate presentation unit 2. An operation accepting unit 3 that accepts an operation performed by the user to show the adoption result. In addition, the apparatus 1 includes a trial calculation unit 4 that calculates an annual electricity bill, and a trial calculation result notification unit 5 that notifies the user of the calculated annual electricity bill through an output device 15 such as a display. Furthermore, the present apparatus 1 includes a storage unit 6 that stores data for calculating electricity bills, such as data indicating the contents of user operations received by the operation receiving unit 3. Each component of the apparatus 1 (that is, the candidate presentation unit 2, the operation reception unit 3, the trial calculation unit 4, the trial calculation result notification unit 5, and the storage unit 6) is realized by the function of the personal computer P owned by the staff.

Hereinafter, each component of this apparatus 1 is demonstrated separately.
The candidate presentation unit 2 is realized by the CPU 10 of the personal computer P, the ROM 11, the RAM 12, the hard disk 13, the output device 15, and the above-described trial calculation program, and presents candidates regarding the house specifications to the user.

More specifically, when the annual electricity bill is calculated by the apparatus 1, the candidate presentation unit 2 reads out the input screen data shown in FIG. 5 and displays the input screen on the display. In this input screen, the names of the houses provided by the housing company (indicated as goods X and goods Y in the figure) are presented as candidates for the house specifications, as well as the candidates for the area where the house will be built (see figure). Middle, A region, B region, and C region) and power company candidates (indicated as power company L, power company M, and power company N in the figure) are also presented.
Note that the candidates illustrated in FIG. 5 are merely examples, and candidates other than those illustrated in FIG. 5 may be presented. Further, the number of candidates presented in each specification item may be different from the number shown in FIG. Furthermore, the electric power company candidates presented in the trial calculation of the annual electricity bill by the device 1 are linked to the construction area of the house, and when the presented construction area candidate is selected, the electric power that can be used in that area is selected. It may be presented after the company is automatically limited. Alternatively, it may be possible to present all power companies nationwide as candidates, reflecting the liberalization of electric power, regardless of the construction area of the house.

And in this apparatus 1, candidate presentation part 2 is as shown in Drawing 5, HEMS (Home Energy Management System), a storage battery system, and V2H (Vehicle to
About each system of Home), the presence or absence of the installation is shown to a user as a candidate.

HEMS is an example of an energy management system, which collects information on the amount of energy used in a house through a network built in the house, and visualizes (visualizes) and notifies the energy usage. . In particular, the HEMS presented by the candidate presenting unit 2 as a candidate corresponds to a power management system that collects information related to power supply and demand in a house and notifies a resident of the amount of power used in the house through a home terminal.
In general, the power consumption when the HEMS is installed is set to be reduced by at least 5% compared to the power usage when the HEMS is not installed. For this reason, when there is an input operation that the HEMS is installed, the present apparatus 1 calculates the annual electricity bill on the assumption that the power consumption is reduced by a predetermined reduction rate than when there is no installation.

Further, the HEMS presented as a candidate by the candidate presentation unit 2 in the present apparatus 1 corresponds to a power management system that notifies advice information for reducing the power usage amount together with the power usage amount in the house.
And this apparatus 1 estimates the electric bill in consideration of how much a user obeys said advice information. That is, in the trial calculation of the annual electricity bill by the device 1, the degree to which the user follows the advice information notified from the HEMS is reflected. Therefore, as shown in FIG. 5, the candidate presenting unit 2 indicates candidates for the power saving interest level corresponding to the degree according to the advice information (in the figure, “follow energy saving advice as much as possible”, “follow energy saving advice to some extent”, “ It is supposed to be displayed on the input screen.

  A storage battery system is an example of an energy self-sufficiency system that stores energy and supplies it to a load (electric power load) in a house. Specifically, it stores power and discharges the stored power toward the load in the house. It is a power self-sufficiency system including a storage battery (an example of a power storage device). Here, the presence or absence of the storage battery system affects the fluctuation pattern of the power supply / demand balance in the house in one day, and more specifically, from the commercial power supply according to the charging / discharging schedule of the storage battery. The time zone in which the supplied power (hereinafter also referred to as system power) is most frequently used and the usage amount in the same time zone changes. For this reason, the present apparatus 1 estimates the annual electricity bill reflecting the presence or absence of the storage battery system.

  In addition, as shown in FIG. 5, in the present apparatus 1, the candidate presentation unit 2 presents a plurality of candidates when a storage battery system is installed, and specifically, the storage battery type (model 1, type 2 in the figure). Multiple). That is, this apparatus 1 estimates the annual electricity bill reflecting the type of the storage battery used in the system in addition to the presence or absence of the storage battery system.

  V2H is an example of an energy mutual supply system in which energy is supplied between a vehicle that travels by receiving energy from a house and the house, and specifically, an electric vehicle (hereinafter referred to as EV) as a vehicle. And a mutual power supply system that supplies power to each other. Here, whether or not V2H is installed affects the fluctuation of the electric power supply and demand balance in the house. More specifically, the amount of system power used in each time zone changes according to the EV usage pattern. . For this reason, the present apparatus 1 estimates the annual electricity bill reflecting the presence / absence of installation of V2H.

  The V2H is not limited to a system that supplies power between the EV and the house. For example, instead of the EV, a plug-in hybrid vehicle (PHV), a fuel cell vehicle (FCV), or a small-sized vehicle is used. Mobility may be a system that supplies power to a house.

  In addition, as shown in FIG. 5, the candidate presentation unit 2 in the apparatus 1 determines whether or not a power generation device that generates power on the premises of the house is installed as a candidate for the house specification in addition to the HEMS, the storage battery system, and V2H. Further presented. Regarding the installation of the power generation device, it affects the fluctuation pattern of the power supply-demand balance in the house. More specifically, when used in combination with the storage battery system described above, the operation schedule of the storage battery depends on the operation schedule of the power generation device. Will be adjusted. For this reason, the present apparatus 1 estimates the annual electricity bill reflecting the presence or absence of the installation of the power generation apparatus. If it demonstrates in detail, this apparatus 1 will estimate an annual electricity bill in consideration of whether a storage battery system and a power generator are used together.

Further, in the present apparatus 1, as shown in FIG. 5, the candidate presentation unit 2 presents a plurality of candidates as candidates when the power generation apparatus is installed. Specifically, the candidate presenting section 2 presents a solar cell and a fuel cell as the power generation apparatus. And the case which has both of these is shown as a candidate. That is, the present apparatus 1 considers whether or not to use a storage battery system and a power generation apparatus together, and when used together, estimates the annual electricity bill reflecting the type of power generation apparatus.
Note that the power generation device candidates are not limited to solar cells and power generation devices, and other power generation devices such as gas engine power generation devices may be presented as candidates.

  The operation accepting unit 3 is realized by the CPU 10, the ROM 11, the RAM 12, the input device 14, the output device 15 and the trial calculation program of the personal computer P, accepts the user's input operation, and stores data indicating the contents of the input operation in the storage unit 6. It is something to be made. Here, the input operation of the user accepted by the operation accepting unit 3 includes an input operation performed by the user to indicate the adoption result for the candidate presented by the candidate presenting unit 2.

  An example of the input operation for indicating the adoption result for the candidate presented by the candidate presenting unit 2 is an operation of clicking a radio button in the input screen illustrated in FIG. However, the input operation is not particularly limited. For example, each item candidate may be displayed in a pull-down list format, and an operation of selecting from the list may be performed as the input operation.

  The operation receiving unit 3 receives an input operation of a power consumption pattern performed through the input screen illustrated in FIG. Here, the power consumption pattern is a behavior pattern related to a user's power consumption behavior per day in a house, and indicates how much power is consumed in which time zone.

  The input operation of the power consumption pattern will be described. After the input operation through the input screen shown in FIG. 5 is completed, the screen switching button displayed on the screen by the user (indicated as “next” in FIG. 5). When the button is clicked, the power consumption pattern input screen shown in FIG. 6 is displayed. The user inputs his power consumption pattern through the input screen. More specifically, whether or not to use each room of the house is input for each room for each time slot in the day.

  Referring to FIG. 6, when a column corresponding to the time zone used by the user is clicked for each room on the input screen, a circle is displayed in the column. Then, the user clicks an operation completion button (a button labeled “Done” in FIG. 6) on the screen. As a result of accepting such a series of operations by the operation accepting unit 3, data indicating a power consumption pattern input by the user (hereinafter referred to as power consumption pattern data) is generated, and the power consumption pattern data is stored in the storage unit 6. Will be.

Note that it is desirable that the power consumption pattern can be input separately on weekdays and holidays as shown in FIG. At this time, as shown in FIG. 6, in consideration of the fact that the power unit price of the power company may differ depending on the day of the week, one that can specify the day of the week that falls on weekdays and the day of the week that falls on holidays Is more desirable.
In addition, when there are a plurality of residents in the house including the user, a power consumption pattern may be input for each resident.
Further, the input screen is provided with a field for inputting life style information related to power consumption such as items other than the items shown in FIG. 6 as related to the power consumption pattern, such as going out time (absence time) and going out. Based on such information, the annual electricity charge may be estimated.

The trial calculation unit 4 is realized by the CPU 10, the ROM 11, the RAM 12, and the trial calculation program of the personal computer P. The trial calculation unit 4 reads the data for trial calculation of the annual electricity bill stored in the storage unit 6, and uses the information indicated by the data as input information to calculate the annual electricity bill. This is a trial calculation.
More specifically, the trial calculation unit 4 parameters the information indicated by the trial calculation data read from the storage unit 6, specifies the trial calculation rule corresponding to the information, and then sets the obtained parameters and calculation rules to a predetermined value. Estimate the annual electricity bill by applying it to the formula. The parameterization method and the annual electricity bill calculation formula are not particularly limited. For example, the parameterization method or calculation formula set by the housing company may be used.

  In addition, in the device 1, the trial calculation unit 4 calculates the annual electricity charge when no energy-related system such as HEMS, storage battery system, and V2H is introduced at all as a reference charge, and also introduces (installs) an energy-related system. And calculate the difference in annual electricity charges between when not installed (not installed).

  Furthermore, when a plurality of rate plans are set for the unit price of the grid power, the trial calculation unit 4 can calculate the annual electricity rate for each rate plan. Then, the trial calculation unit 4 compares the trial calculation results for each rate plan, and identifies the most suitable rate plan for the user among a plurality of rate plans, in other words, the rate plan with the lowest annual electricity rate. .

  The trial calculation result notifying unit 5 is realized by the CPU 10, the ROM 11, the RAM 12, the output device 15 and the trial calculation program of the personal computer P, and displays the trial calculation result of the trial calculation unit 4 on a display or the like. More specifically, as shown in FIG. 1, the trial calculation result notifying unit 5 calculates the calculated annual electricity charge, the annual electricity charge when no energy-related system calculated as a reference charge is introduced at all, and the difference between these charges. Is displayed on the same screen. However, the present invention is not limited to this, and each trial calculation result may be displayed on a separate screen.

  Moreover, the trial calculation result notification unit 5 displays the trial calculation result of the annual electricity charge on the display, and the preconditions applied when the trial calculation unit 4 makes the trial calculation of the annual electricity charge. And the presence / absence of installation for each of V2H.

  In addition, when multiple rate plans are set for the unit price of the grid power, as described above, the trial calculation unit 4 calculates the annual electricity rate for each rate plan, and the rate plan with the lowest annual electricity rate is available. Will be identified. In this case, as shown in FIG. 1, the trial calculation result notifying unit 5 displays on the display the rate plan with the lowest annual electricity rate specified by the trial calculation unit 4 as the optimum rate plan.

  In addition, in the apparatus 1, the trial calculation result notification unit 5 displays on the display only the annual electricity rate when the above-mentioned optimum rate plan is applied among the annual electricity rates for each rate plan calculated by the trial calculation unit 4. Yes. However, the present invention is not limited to this, and it is possible to display all the annual electricity charges for each charge plan calculated by the trial calculation unit 4 on the display.

  The storage unit 6 includes a ROM 11, a RAM 12, and a hard disk 13 of the personal computer P, and stores data necessary for trial calculation of the annual electricity bill. More specifically, the storage unit 6 stores data necessary for trial calculation of annual electricity charges in a database, and the database (hereinafter, trial calculation database 20) stores data as shown in FIG. , Housing-related data 21, power consumption pattern data 22, and master management data 23 are included.

Hereinafter, each data in the trial calculation database 20 will be described in detail.
The house related data 21 is data generated when the operation receiving unit 3 receives an input operation performed through the input screen illustrated in FIG. 5. In other words, the house-related data 21 corresponds to first data indicating a user's adoption result for the candidate presented by the candidate presentation unit 2 on the input screen. More specifically, as shown in FIG. 4, the housing-related data 21 includes a plurality of condition data indicating the user's employment results. The condition data includes the area condition 21A, the power company condition 21B, and the house design condition 21C. , HEMS usage conditions 21D, power-saving interest level conditions 21E, storage battery system usage conditions 21F, V2H usage conditions 21G, and power generation device usage conditions 21H are included.

  The regional condition 21A is data indicating a result of adoption for a candidate for a region where a house is to be constructed. The electric power company condition 21 </ b> B is data indicating an adoption result for a candidate electric power company to be used. The housing design condition 21 </ b> C is data indicating the adoption result for a housing candidate (specifically, a product name of a candidate house) provided as a product by the housing company.

  The HEMS usage condition 21D is data indicating the adoption result for the candidate regarding the presence or absence of the HEMS installation. The power saving interest level condition 21E is the degree to which the user follows the advice information notified by the HEMS in order to reduce the amount of electric power used in the house when the HEMS is installed, that is, the candidate for the user's power saving interest level. It is the data which shows the adoption result.

  The storage battery system use condition 21F is data indicating the presence / absence of installation of the storage battery system and the adoption result for the storage battery type candidate used when the storage battery system is installed. The V2H usage condition 21G is data indicating the adoption result for the candidate regarding the presence / absence of installation of V2H. The power generation device use condition 21H is data indicating the presence / absence of installation of the power generation device and the adoption result for the candidate of the type of the power generation device when the power generation device is installed.

The power consumption pattern data 22 is data generated when the operation receiving unit 3 receives an input operation of the power consumption pattern performed through the input screen illustrated in FIG. 6.
The master management data 23 is data associated with various candidates presented on the input screen of FIG. 5, is generated by installing the above-described trial calculation program on the personal computer P, and is stored in the storage unit 6. As for the master management data 23, initial (default) data is stored when the trial calculation program is installed. However, the master management data 23 can be rewritten and updated by correcting it through an input screen (not shown). is there.

  The master management data 23 will be described in more detail. As shown in FIG. 4, the regional environment data 31A, the unit price data 31B, the housing structure data 31C, the reduction rate table 31D, the storage battery data 31E, the EV usage data 31F, and the power generation device data 31G include.

  The regional environment data 31A is data associated with candidates (for example, the A region, the B region, and the C region) related to the housing construction region, and is prepared for each region candidate. Describing with reference to FIG. 7, the regional environment data 31 </ b> A is statistical data indicating the environment of the region to which the data 31 </ b> A is associated (the data in FIG. 7 is associated with the A region).

  More specifically, the regional environment data 31A indicates the transition of the average temperature, the amount of solar radiation, and the power demand in the region with which the data 31A is associated, by month and day. Here, the average temperature is the daily average temperature, and the amount of sunshine is the amount of direct sunshine. In this embodiment, the amount of solar radiation at each time on the representative day of each month is adopted. Note that the amount of solar radiation is preferably defined for each azimuth angle based on, for example, true south. The power demand is a power demand for commercial power, and more specifically indicates a demand amount of system power in a region associated with the regional environment data 31A. The power demand may be the total power demand on a certain day, or may be the power demand during a time period when the power demand peaks on a certain day.

  The unit price data 31B is data indicating the unit price of the grid power, and is associated with candidates related to the power company to be used (for example, the power company L, the power company M, and the power company N). That is, the storage unit 6 stores data indicating the unit price of the grid power uniquely set by each power company for each power company. In addition, there are cases where a plurality of rate plans related to the unit price of the grid power are set in each power company, and unit price data 31B is stored for each rate plan for the power unit price of the power company.

  The unit price data 31B by rate plan will be described with reference to FIG. 8. For example, the power company L sets “normal plan”, “time plan”, “peak shift plan”, and “dynamic pricing” as the rate plan. If so, unit price data 31B of the electric power company L is stored in the storage unit 6 for each of these four rate plans. Note that the above-described four rate plans are merely examples, and other rate plans may be set.

  Here, the “normal plan” is a charge-based charge plan, and the power unit price changes in multiple stages (three stages in the example shown in FIG. 8) according to the total amount of power used during the month. “Time plan” is a charge plan of electric lamp type according to time zone, and the unit price of electricity excluding the basic rate is the time zone (in the example shown in FIG. 8, the night zone (23:00 to 7:00 the next day), the daytime zone during the living time) (10 o'clock to 17 o'clock), other times during the living time (7 to 10 o'clock and 17 to 23 o'clock)) are set to different amounts. The “Peak Shift Plan” is a light-type rate plan according to the season and the time zone. Like the “Time Plan”, the power unit price excluding the basic rate is different for each time zone. Further, regarding the “peak shift plan”, the power unit price in a predetermined time zone (in the example shown in FIG. 8, the daytime zone (10:00 to 17:00)) is different between the summer and other seasons.

  “Dynamic pricing” is determined according to the power demand for commercial power on the application date of the peak value when the power unit price fluctuates in one day and the peak value of the power unit price (indicated as CPP in FIG. 8). It is a price plan to be done. In the example shown in FIG. 8, the power unit price is different between the peak time and the non-peak time, and the peak unit price (that is, the peak value CPP of the power unit price) is the magnitude of the power demand. In response to the above, it is supposed to change in three stages (for example, less than 20 GWh, 20-30 GWh, more than 30 GWh).

  And in this apparatus 1, when calculating the annual electricity bill at the time of adopting dynamic pricing as a rate plan, the trial calculation part 4 predicts an electric power demand based on the local environment data 31A mentioned above, From the prediction result, The peak value CPP of the power unit price is specified. Then, the trial calculation unit 4 calculates the annual electricity bill when the rate plan is set to dynamic pricing, using the specified peak value CPP of the power unit price as input information. The procedure for specifying the peak value CPP of the power unit price will be described in detail later.

  Further, in the present apparatus 1, as shown in FIG. 8, in addition to the unit price data 31B indicating the unit price of the system power, the unit price when power is reversely flowed from the house side to the commercial power source side, Unit price data 31B indicating the purchase amount when the company purchases surplus power from the house is stored. Since the surplus power purchase unit price is stored in this way, the apparatus 1 uses the system power consumption (hereinafter also referred to as the power purchase amount) when calculating the annual electricity rate in the case where surplus power is generated. The net annual electricity price is calculated by subtracting the annual electricity purchase price determined according to the amount of surplus electricity purchased (hereinafter referred to as the amount of electricity sold) from the annual electricity price determined according to the The user is notified as a trial calculation result.

In addition, in this apparatus 1, the electric power of purchase object is limited to the electric power by private power generation, and when generated electric power exceeds the electric power load of a house, it will calculate the annual purchase amount according to the surplus electric power. Yes. However, the present invention is not limited to this. For example, in addition to self-generated power, surplus power is purchased from the entire self-supplied power (power supplied by residential power supply facilities) including power supplied from storage batteries or EVs. The annual purchase amount may be calculated as a target.
Moreover, in this apparatus 1, although the purchase price of surplus electric power is a fixed amount, it is not limited to this, It is set so that it may become a different amount according to the presence or absence of the power generation device and its operating state. It is also good to do. For example, the purchase unit price when discharging from the storage battery during solar power generation may be different from the purchase unit price when discharging from the storage battery during solar power generation.

  Moreover, the setting of the power unit price of each rate plan shown in FIG. 8 is merely an example, and it may be set to a finer unit price setting. For example, when the house is an all-electric house A certain discount may be applied when a predetermined requirement is satisfied, such as when a battery or a storage battery is installed. In addition, fuel adjustment costs set to adjust the unit price of electricity according to changes in the price of fuel such as crude oil and LNG, environmental taxes added to electricity charges, surplus electricity from solar power generation and renewable energy power generation Expenses (solar power generation promotion surcharges, renewable energy power generation promotion surcharges) imposed on electricity consumers when the company purchases are stipulated, and it is also possible to estimate electricity charges based on these information Good.

The housing structure data 31 </ b> C is data associated with housing product candidates (for example, product names specifically listed as candidates), and is prepared for each product candidate. Referring to FIG. 9, the housing structure data 31 </ b> C includes construction area data indicating attributes (for example, heat insulation area divisions) related to the construction area of the house, product / building shape data indicating the shape and dimensions of the house, window information, and the like. It includes window data indicating the number and the like, and heat insulation specification data indicating the heat insulation performance of each building material constituting the house. These data are data for calculating a Q value (a heat loss coefficient of a house) that becomes input information when calculating the annual amount of electricity.
The housing structure data 31C illustrated in FIG. 9 is merely an example, and may include data other than the data illustrated in FIG. 9, which is data indicating information that affects the Q value.

  The reduction rate table 31D is data associated with the degree of the user's compliance with the advice information notified by the HEMS to reduce the amount of power used in the house, that is, the data associated with the candidate for the user's power saving interest level. This corresponds to the second data indicating the usage form.

  More specifically, the reduction rate table 31D is table data indicating the correspondence relationship between the power saving interest level of the user and the reduction rate. Here, the reduction rate indicates a reduction rate of power usage as an example of a usage form of HEMS, and corresponds to a parameter that the user changes according to the degree of interest in power saving. Referring to FIG. 10, since the effect of HEMS varies greatly depending on the power saving interest level of the user (specifically, a resident of the house), a plurality of power consumption reduction rates are set according to the power saving interest level. doing. More specifically, in the present apparatus 1, the reduction rate when following the advice information notified by the HEMS is set to 15%, and the reduction rate when following the advice information to some extent is set to 10%, and the advice information is not followed very much. The reduction rate in this case is 5%.

  Note that the reduction rate illustrated in FIG. 10 is merely an example, and can be arbitrarily set. Here, with regard to the effects of introducing HEMS, it is generally said that the amount of power used by using electrical equipment other than cooking equipment and hot water heaters is reduced by 10%. A reduction rate should be set.

The storage battery data 31E is data associated with a storage battery type candidate used when the storage battery system is installed, and corresponds to second data indicating a usage form of the storage battery system.
Specifically, the storage battery data 31E is prepared for each storage battery type, and defines the specifications and operating conditions of the storage battery. If it demonstrates referring FIG. 11, the storage battery data 31E prescribes | regulates the capacity | capacitance of a storage battery, a useable ratio, and an operation schedule. Here, the usable rate of the storage battery is an index indicating how much the remaining amount of stored electricity can be discharged with respect to the capacity of the storage battery. Moreover, the operation schedule of the storage battery defines the charge time and discharge time of the storage battery in one day, and strictly, defines the charge start time, charge end time, discharge start time, and discharge end time. . This information is only an example for defining the operation schedule. For example, when setting an operation schedule to continue discharging until the discharge power is used up, the discharge is not performed without defining the discharge end time. The remaining amount of electricity stored at the time of termination is defined.

  As shown in FIG. 11, the operation schedule is defined separately for a case where the storage battery system and the power generation device are used together and a case where the power storage device is not installed and the storage battery system is used alone. ing. This reflects that the operation schedule of the storage battery varies depending on the presence or absence of the power generation device. More specifically, in the storage battery data 31E shown in FIG. 11, the discharge time of the storage battery when the storage battery system is used alone is set from 10:00 to 23:00, while the solar battery is used in combination. In this case, the discharge time is set from 18:00 to 23:00. Moreover, when a storage battery system and a fuel cell are used together, power generation is given priority in the time zone from 7:00 to 23:00, and the shortage is discharged from the storage battery.

  In the present apparatus 1, the storage battery data 31E is data indicating all of the storage battery capacity, the usable ratio, and the operation schedule as described above, but information on at least one of the storage battery capacity and the storage battery operation schedule is provided. Any data may be used. Moreover, about the storage battery data 31E, it is information other than the above-mentioned contents (capacity, usable ratio and operation schedule) and affects the annual electricity bill, for example, maximum discharge power amount, charge power amount, discharge efficiency, Charging efficiency, partial load efficiency, standby power, etc. may be included.

  The EV usage data 31F corresponds to second data indicating the usage mode of V2H. Specifically, the EV usage data 31F defines EV specifications and operating conditions. Referring to FIG. 12, the EV usage data 31F is data indicating the EV capacity, the travel distance per day, the fuel consumption, and the usage schedule. Here, the usage schedule is the EV usage time (strictly, departure time and return time), EV charging time (strictly, charging start time and charging end time), and supply of electric power from the EV to the house. Power supply time (strictly speaking, power supply start time and power supply end time). It is desirable that a plurality of time zones can be set for each of the three times.

In the present apparatus 1, the EV usage data 31F is data indicating all of the EV usage time, the EV charging time, and the power feeding time for supplying electric power from the EV to the house. Of these three times, Any data indicating at least one time may be used. In addition, the EV usage data 31F is information other than the above-described contents (capacity, mileage per day, fuel consumption and usage schedule), and affects the annual electricity bill, for example, whether or not power can be supplied to the house, The charge / discharge efficiency, the purpose of using the EV, and the like may be included.
When the EV usage schedule differs between weekdays and holidays, it is desirable that the weekday and holidays can be input separately.

  The power generation device data 31G is data associated with a power generation device type candidate (for example, a solar cell or a fuel cell), and is prepared for each type as shown in FIGS. 13A and 13B. Describing with reference to FIGS. 13A and 13B, the power generation device data 31G corresponds to second data indicating design specifications, installation conditions, operation patterns, and the like of the device when the power generation device is installed.

More specifically, the power generation device data 31G relating to the solar cell defines the capacity of the solar panel, the shape of the roof on which the solar panel is installed, the number of panels installed for each orientation, and the panel mounting angle. On the other hand, the power generation device data 31G related to the fuel cell defines a power generation output and an operation pattern. Here, the operation pattern of the fuel cell is determined according to the type of the fuel cell. For example, for the polymer electrolyte fuel cell (PEFC), an operation pattern for generating power according to the heat load is taken. It generates electricity between 23:00. As for the solid oxide fuel cell (SOFC), in principle, an operation pattern of generating electricity for 24 hours is taken.
Note that the above-described content is an example of information indicated by the power generation device data 31G, and it is sufficient that the content is set appropriately according to the type of the power generation device.

<About trial calculation processing using this device>
Next, the trial calculation process of the annual electricity bill executed by the apparatus 1 will be described.
The trial calculation process is started, for example, when a user or staff performs a predetermined operation (for example, clicks a predetermined icon on the screen) on the personal computer P and starts a trial calculation program. That is, with the start of the trial calculation program, each unit of the apparatus 1, that is, the candidate presentation unit 2, the operation reception unit 3, the trial calculation unit 4, and the trial calculation result notification unit 5 operate.

  More specifically, in order for the user to input information necessary for the calculation of the electricity bill, the candidate presentation unit 2 displays the input screen shown in FIG. Suggestions about the company and candidates for housing specifications are presented to the user. Then, when the user performs an input operation on the candidate presented by the candidate presenting unit 2 in order to indicate the employment result, the operation accepting unit 3 accepts the input operation and indicates the above employment result (that is, housing-related) Data 21) is generated and stored in the storage unit 6. The operation accepting unit 3 accepts an input operation of a power consumption pattern performed by the user through the input screen illustrated in FIG. 6, generates data indicating the input contents (that is, power consumption pattern data 22), and stores the storage unit 6. To remember.

  Thereafter, the trial calculation unit 4 reads out the house-related data 21 and the power consumption pattern data 22 from the storage unit 6 and uses the information indicated by these data (specifically, the user's adoption results and power consumption patterns for each candidate). Estimate the annual electricity bill according to the request. And in this apparatus 1, the trial calculation part 4 estimates an annual electricity bill reflecting the presence or absence of energy related systems like HEMS, a storage battery system, and V2H.

  More specifically, the trial calculation unit 4 reads out the HEMS use condition 21D, the storage battery system use condition 21F, and the V2H use condition 21G of the house related data 21 from the storage unit 6, and presented the installation of each energy related system. Identify user adoption results for candidates. And when the data which shows that there exists installation about any energy related system is memorize | stored in the memory | storage part 6, the trial calculation part 4 is data (specifically reduction) which shows the utilization form of the said energy related system. The rate table 31D, the storage battery data 31E, and the EV usage data 31F) are read out, and the annual electricity bill is calculated using the usage mode indicated by the data as input information.

  To explain in an easy-to-understand manner, when the data indicating that the HEMS is installed (that is, the HEMS usage condition 21D) is stored in the storage unit 6, the trial calculation unit 4 includes the data indicating the user's power saving interest level (that is, power saving). The interest level condition 21E) is read from the storage unit 6. Further, the trial calculation unit 4 reads the reduction rate table 31D from the storage unit 6. Thereafter, the trial calculation unit 4 identifies the user's power saving interest level from the read power saving interest level condition 21E, and identifies the reduction rate corresponding to the identified power saving interest level from the reduction rate table 31D. Through the above steps, the trial calculation unit 4 finally calculates the annual electricity bill using the reduction rate corresponding to the user's power saving interest level as input information. If it demonstrates concretely, the trial calculation part 4 will reduce electric power consumption by the part corresponded to said reduction rate, and will estimate an annual electricity bill from the electric power usage after reduction.

  In addition, when data indicating that the storage battery system is installed (that is, the storage battery system use condition 21F) is stored in the storage unit 6, the trial calculation unit 4 includes data indicating the specification and operating conditions of the storage battery (that is, the storage battery). Data 31E) is read from the storage unit 6. Thereafter, the trial calculation unit 4 makes a trial calculation of the annual electricity bill using the information indicated by the storage battery data 31E as input information. More specifically, the trial calculation unit 4 calculates the amount of power purchased in each time period according to the operation schedule of the storage battery by, for example, offsetting the amount of discharge from the amount of power purchased when the storage battery is discharged, and annually from the calculated amount of purchased power Estimate electricity charges.

  The storage battery data 31E separately defines a storage battery operation schedule when the storage battery system is used in combination with a power generator and a storage battery operation schedule when the storage battery system is used alone. For this reason, the trial calculation unit 4 reads out the power generation device usage conditions 21H of the house-related data 21 when calculating the annual electricity bill when the storage battery system is installed, and whether or not the power generation device is installed and the power generation to be installed. Identify the device type.

  And when the trial calculation part 4 specified that there exists installation of a power generator from the read power generator utilization condition 21H, among the operation schedules of the storage battery which the storage battery data 31E shows, the operation schedule when there exists installation of a power generator is shown. Identify and calculate the annual electricity bill using the operation schedule as input information. At this time, the trial calculation unit 4 further reads data indicating the specifications of the power generation device and the like (that is, the power generation device data 31G) from the storage unit 6, and calculates the annual electricity bill using the information indicated by the data as input information.

  Conversely, when the trial calculation unit 4 specifies that the power generation device is not installed from the read power generation device usage condition 21H, the operation schedule when the power generation device is not installed among the operation schedules of the storage battery indicated by the storage battery data 31E. And the annual electricity bill is estimated using the operation schedule as input information.

  When data indicating that V2H is installed (that is, V2H usage conditions 21G) is stored in the storage unit 6, the trial calculation unit 4 includes data indicating EV specifications and operating conditions (that is, EV usage data). 31F) is read from the storage unit 6. Thereafter, the trial calculation unit 4 makes a trial calculation of the annual electricity bill using the information indicated by the EV usage data 31F as input information. More specifically, for example, the trial calculation unit 4 calculates the amount of electricity purchased in each time zone according to the EV usage schedule and travel distance by offsetting the amount of electricity supplied from the amount of electricity purchased when electricity is supplied from the EV to the house. Estimate annual electricity charges from the amount of electricity purchased.

As described above, in the present apparatus 1, the trial calculation unit 4 can estimate the annual electricity bill by reflecting the presence or absence of energy-related systems such as HEMS, storage battery system, and V2H.
Further, the trial calculation unit 4 can calculate the annual electricity rate for each rate plan when a plurality of rate plans are set for the unit price of the grid power.

  More specifically, the trial calculation unit 4 reads the power company condition 21B of the house-related data 21 from the storage unit 6 in trial calculation of the annual electricity bill, and identifies the power company adopted by the user from the power company candidates. Thereafter, the trial calculation unit 4 reads the unit price data 31B corresponding to the specified electric power company from the data indicating the unit price of power stored in the storage unit 6 (that is, unit price data 31B). Here, when there are a plurality of read unit price data 31B for each rate plan, the trial calculation unit 4 calculates the annual electricity rate for each rate plan using the power unit price indicated by each unit price data 31B as input information.

  Further, when the above-mentioned dynamic pricing is included in the rate plan, the trial calculation unit 4 predicts the power demand in the construction area of the house, and specifies the peak value CPP of the power unit price from the prediction result. Then, the trial calculation unit 4 calculates the annual electricity bill when the price plan is set to dynamic pricing with the specified peak value CPP as input information.

  More specifically, the trial calculation unit 4 reads the regional conditions 21A of the housing related data 21 from the storage unit 6 when calculating the annual electricity rate when the price plan is set to dynamic pricing, and relates to the construction area of the house. The user's recruitment result for the presented candidate is specified. Thereafter, the trial calculation unit 4 extracts the local environment data 31A corresponding to the identified construction area from the storage unit 6, and reads out the statistical data of the power demand in the data. The trial calculation unit 4 analyzes the statistical data, and for each peak value CPP of the power unit price and corresponding power demand range (specifically, less than 20 GWh, 20-30 GWh, more than 30 GWh) Determine the number of days. The above process corresponds to the process of predicting the power demand in the residential construction area.

  And the trial calculation part 4 reads the unit price data 31B for dynamic pricing from the memory | storage part 6, and specifies each peak value CPP of a power unit price. Furthermore, the trial calculation unit 4 specifies the number of days per year to which each peak value CPP is applied based on the number of days per year determined in the above process. Finally, the trial calculation unit 4 calculates the annual electricity price when the price plan is set to dynamic pricing based on the correspondence between the peak value CPP of the power unit price and the number of application days.

  Furthermore, when calculating the annual electricity charge for each charge plan, the trial calculation unit 4 identifies a charge plan most suitable for the user among a plurality of charge plans, that is, a charge plan with the lowest annual electricity charge.

  When the processing described so far is executed by the trial calculation unit 4, the trial calculation result of the annual electricity bill is finally displayed on the display by the trial calculation result notification unit 5. Here, when the annual electricity rate is estimated by rate plan, the lowest annual electricity rate and the rate plan corresponding to the unit price of electricity applied when the annual electricity rate was calculated, in other words, the annual electricity rate The price plan specified by the trial calculation unit 4 is displayed as the cheapest plan.

  In addition, in the device 1, the trial calculation unit 4 calculates the annual electricity charge when no energy-related system is introduced as a reference charge, and calculates the difference between the annual electricity charge when the energy-related system is introduced and when the energy-related system is not introduced. To do. These calculation results are also displayed on the display by the trial calculation result notification unit 5.

<Procedure for annual electricity charges>
Next, the trial calculation procedure of the annual electricity bill in the trial calculation process will be described. The trial calculation procedure described below corresponds to the flow of trial calculation processing to which the trial calculation method of the present embodiment is applied. That is, the following description relates to the trial calculation method of the present embodiment.

  In the trial calculation of the annual electricity bill, the trial calculation unit 4 sequentially calculates the index values shown in FIG. Specifically, in the trial calculation process, the trial calculation unit 4 first calculates the Q value of the house. Thereafter, the trial calculation unit 4 calculates the air conditioning load of the house based on the calculated Q value. Further, the trial calculation unit 4 uses the system power at each time based on the calculated air conditioning load and the power consumption pattern indicated by the data stored in the storage unit 6 (specifically, the power consumption pattern data 22). The amount, that is, the power purchase amount is calculated. At this time, when surplus power is generated in a case where a storage battery system or a power generator is installed, the surplus power purchase amount, that is, the power sale amount is calculated together.

  And the trial calculation part 4 calculates an annual electricity bill from the calculated electric power purchase amount and an electric power unit price. More specifically, the trial calculation unit 4 calculates an electricity charge per day and obtains an electricity charge per month based on the calculation result. Here, the electricity charge per day may be calculated for each date, or the electricity charge for the representative day of each month (strictly, the representative day of each weekday and holiday) may be calculated. Finally, the annual electricity bill is calculated by accumulating the electricity bill per month for 12 months. When the amount of electricity sold is calculated together with the amount of electricity purchased, the trial calculation unit 4 subtracts the annual surplus electricity purchase amount calculated based on the amount of electricity sold from the annual electricity price calculated based on the amount of electricity purchased to obtain the net annual electricity consumption. Calculate the fee.

  Further, as described above, in the present apparatus 1, when a plurality of rate plans are set for the unit price of power, the series of calculations described above are executed for each rate plan, and as a result, the annual electricity rate for each plan is calculated. Will be.

Hereinafter, each process in the trial calculation process will be described.
The trial calculation process proceeds according to the procedure shown in FIGS. 15, 16, and 17, and first, the input screen shown in FIGS. 5 and 6 is displayed on the display of the personal computer P (S001). This step S001 corresponds to a step in which the apparatus 1 (more specifically, the candidate presentation unit 2) presents the user with a candidate for a construction area of a house, a candidate for a power company to be used, and a candidate for a house specification. In this process S001, this apparatus 1 presents the presence or absence of installation about each system of HEMS, a storage battery system, and V2H, and the presence or absence of installation of an electric power generation apparatus as a candidate regarding a house specification.

  When the user performs an input operation through the input screen, the apparatus 1 (more specifically, the operation receiving unit 3) receives the input operation (S002). As a result, data indicating the contents of the input operation, that is, the house-related data 21 and the power consumption pattern data 22 are generated and stored in the storage unit 6 (S003). That is, these steps S002 and S003 correspond to the steps of acquiring data indicating the user's adoption result for the candidate presented in the previous step S001 and data indicating the user's power consumption pattern and storing them in the storage unit 6. To do.

  Thereafter, the present apparatus 1 (more specifically, the trial calculation unit 4) reads out the house-related data 21 and the power consumption pattern data 22 from the storage unit 6, and calculates the annual electricity bill according to the information indicated by these data. That is, in a series of steps described below, the apparatus 1 reads out the housing-related data 21 indicating the user's employment result for the house specification candidate from the storage unit 6 and corresponds to the user's employment result indicated by the data. This corresponds to the process of calculating the electricity bill.

  More specifically, in the trial calculation of the annual electricity bill, the trial calculation unit 4 of the device 1 reads the regional condition 21A of the housing related data 21 from the storage unit 6 to identify the construction area of the house indicated by the regional condition 21A, and further The regional environment data 31A corresponding to the region is identified and read from the storage unit 6 (S004). Further, the trial calculation unit 4 reads out the house design condition 21C of the house related data 21, specifies the product name of the house indicated by the house design condition 21C, further specifies the house structure data 31C corresponding to the product name, and stores the data 6 is read out (S005).

  Thereafter, the trial calculation unit 4 calculates the Q value of the house from the information indicated by each of the read out regional environment data 31A and the housing structure data 31C (S006), and further calculates the air conditioning load of the house based on the obtained Q value. Calculate (S007). After calculating the air conditioning load, the trial calculation unit 4 reads the power consumption pattern data 22 from the storage unit 6 to identify the power consumption pattern input by the user, and calculates the power consumption pattern and the air conditioning load calculated in the previous step S007. Based on, the power load for each hour in the house is calculated (S008). The power load is synonymous with the amount of power used.

  Next, the trial calculation part 4 reads the data regarding installation of an energy related system among the housing related data 21, specifically, the HEMS use condition 21D, the storage battery system use condition 21F, and the V2H use condition 21G from the storage part 6, Information indicated by these data is specified.

  More specifically, the trial calculation unit 4 reads the HEMS usage condition 21D from the storage unit 6, and specifies the user's adoption result for the candidate presented regarding the presence or absence of the HEMS installation (S009). Here, when the HEMS usage condition 21D indicating that the HEMS is installed is stored in the storage unit 6 (Yes in S010), the trial calculation unit 4 further stores the power saving interest level condition 21E of the housing related data 21 in the storage unit. 6, the power saving interest level of the user indicated by the data is specified (S 011). Thereafter, the trial calculation unit 4 reads the reduction rate table 31D stored in the storage unit 6 and specifies the reduction rate corresponding to the specified power saving interest level (S012). Then, the trial calculation unit 4 corrects the power load calculated in the previous step S008 so that the power load is reduced by an amount corresponding to the specified reduction rate (S013), and the corrected power load is determined in the subsequent steps. Will be used.

  On the other hand, when the HEMS usage condition 21D indicating that no HEMS is installed is stored in the storage unit 6 (No in S010), the above steps S011, S012, and S013 are omitted, and the process proceeds to the subsequent steps. . In the case where there is no installation of HEMS, there is no step of correcting the power load using the reduction rate, so that the power load not corrected in the subsequent steps (in other words, the power at the stage calculated in the previous step S008) Load).

  Moreover, the trial calculation part 4 reads the storage battery system use condition 21F from the memory | storage part 6, and specifies the user's adoption result with respect to the candidate shown regarding the presence or absence of installation of a storage battery system (S014). Here, when the storage battery system use condition 21F indicating that the storage battery system is installed is stored in the storage unit 6 (Yes in S015), the trial calculation unit 4 further sets the power generation device use condition 21H of the housing related data 21. It reads from the memory | storage part 6 and the presence or absence of installation of the electric power generating apparatus which the said data shows is specified (S016).

  When the power generation device use condition 21H indicating that the power generation device is installed is stored in the storage unit 6 (Yes in S017), the trial calculation unit 4 specifies the type of the power generation device to be installed from the data. Thus, the power generation device data 31G corresponding to the type is read from the storage unit 6. Thereby, the trial calculation part 4 specifies the specification etc. of a power generator based on the power generator data 31G (S018). The specified information is used in a later calculation step (specifically, step S024 for calculating the amount of electric power purchased and the amount of electric power sold for each time).

Further, the trial calculation unit 4 identifies the type of the storage battery from the storage battery system usage condition 21F read in the previous step S014, reads out the storage battery data 31E corresponding to the type from the storage unit 6, and the capacity and operation of the storage battery indicated by the data Identify the schedule. At this time, in the case where the power generation device is installed (Yes in S017), the operation schedule for the combined operation with the power generation device is specified among the operation schedules of the storage battery indicated by the storage battery data 31E (S019). On the other hand, in the case where the power generation device is not installed (No in S017), the operation schedule when the storage battery system is used alone is specified among the operation schedules of the storage battery indicated by the storage battery data 31E (S020).
The storage battery capacity and the operation schedule specified in the above steps S019 and S020 are used in a later calculation step (specifically, step S024 for calculating the amount of electric power purchased and the amount of electric power sold).

  In addition, when the storage battery system use condition 21F indicating that no storage battery system is installed is stored in the storage unit 6 (No in S015), the above steps S016, S017, S018, S019, and S020 are omitted. Proceed to the process.

  Further, the trial calculation unit 4 reads the V2H usage condition 21G, and identifies the user's adoption result for the candidate presented regarding the presence or absence of V2H installation (S021). Here, when the V2H usage condition 21G indicating that V2H is installed is stored in the storage unit 6 (Yes in S022), the trial calculation unit 4 reads the EV usage data 31F from the storage unit 6, and the data 31F The information such as the EV usage time and the power feeding time from the EV to the house is specified (S023). The specified information is used in a later calculation step (specifically, step S024 for calculating the amount of electric power purchased and the amount of electric power sold for each time).

  On the other hand, when the V2H usage condition 21G indicating that V2H is not installed is stored in the storage unit 6 (No in S022), the above-described step S023 is omitted, and the process proceeds to the subsequent steps.

  When the above steps are completed, the trial calculation unit 4 includes information on the power load calculated in step S008 or the corrected power load corrected in step S013, and the use form of the energy-related system identified in the above-described step ( Specifically, based on the power generation time and capacity of the power generation device, the capacity and operation schedule of the storage battery, the EV usage time and the power supply time, etc., the usage amount of the system power for each time, that is, the power purchase amount is calculated. (S024). At this time, when the power purchase amount becomes negative, that is, when the power generated by the power generator exceeds the power load to generate surplus power, the surplus power purchase amount, that is, the power sale amount is calculated.

  Thereafter, the trial calculation unit 4 reads the power company condition 21B of the housing related data 21, identifies the power company indicated by the power company condition 21B, further identifies unit price data 31B corresponding to the power company, and stores the data 31B. 6 is read out (S025). And the trial calculation part 4 calculates the electricity bill per day based on the power purchase amount calculated by previous process S024, and the electric power unit price which unit price data 31B shows (S026). Furthermore, the trial calculation unit 4 calculates the amount of electricity per month from the electricity charge per day obtained as described above, and calculates the annual electricity charge by integrating the calculation results for 12 months ( S027).

  As described above, when the power sale amount is calculated together with the power purchase amount in the previous step S024, the trial calculation unit 4 calculates the surplus power for the year calculated based on the power sale amount from the annual electricity rate calculated based on the power purchase amount. Subtract the purchase amount to calculate the net annual electricity bill. Here, the annual surplus power purchase amount is obtained by obtaining the purchase amount per day from the calculated power sale amount and the surplus power purchase amount indicated by the unit price data 31B and integrating the amount for 365 days.

  Here, when the electric power company specified from the electric power company condition 21B provides a plurality of rate plans regarding the electric power unit price, the trial calculation unit 4 reads out the unit price data 31B for each price plan, the electric charge per day and the annual Electricity charges will be calculated for each price plan. That is, when a plurality of unit price data 31B is associated with the electric power company specified from the electric power company condition 21B, the trial calculation unit 4 calculates an annual electricity charge for each price plan.

  In addition, when dynamic pricing is included in a plurality of price plans provided by the electric power company, the trial calculation unit 4 identifies the peak value CPP of the power unit price by the procedure shown in FIG. Is used as input information to calculate the annual electricity bill when the price plan is set to dynamic pricing.

More specifically, the trial calculation unit 4 calculates the electricity demand statistics from the regional environment data 31A read in the previous step S004 when calculating the annual electricity rate when the price plan is set to dynamic pricing. Data is read, and the number of days per year is calculated for each of power demands less than 20 GWh, 20-30 GWh, and more than 30 GWh (S051). After that, the trial calculation unit 4 specifies each peak value CPP of the power unit price from the unit price data 31B for dynamic pricing, and calculates the number of annual days to which each peak value CPP is applied based on the annual number of days calculated in the previous step S051. Specify (S052).
Through the above-described procedure, the trial calculation unit 4 identifies the correspondence between the peak value CPP of the power unit price and the number of application days, and calculates the annual electricity bill when the price plan is set to dynamic pricing based on the correspondence. To do.

  The above-described step S026 for calculating the electricity bill per day and step S027 for calculating the annual electricity bill are repeated until the trial calculation of the annual electricity bill is completed for all the charge plans (S028). When the trial calculation of the annual electricity rate is completed for all the rate plans, the trial calculation unit 4 identifies the rate plan with the lowest annual electricity rate among the plurality of rate plans, that is, the optimum rate plan (S029).

  When the series of steps described above is completed, the trial calculation result notifying unit 5 displays the optimum rate plan specified in the previous step S029 and the annual electricity rate calculated under the rate plan on the display (S030). At this time, the trial calculation result notifying unit 5 displays whether or not the energy related system which is a precondition for calculating the annual electricity charge is displayed, and the annual electricity charge when the energy related system is not introduced at all. Also, the difference between the annual electricity rate and the calculated lowest annual electricity rate (that is, the annual electricity rate calculated by the above series of processes) is displayed together.

<Effectiveness of this embodiment>
The effectiveness of the present embodiment will be described. First, for each energy related system of HEMS, storage battery system and V2H, whether or not it is installed, and if installed, the annual electricity in the house is taken into consideration. It is a point to estimate the charge. Thus, as a result of calculating the annual electricity bill reflecting the presence or absence of the energy-related system, the annual electricity bill can be calculated accurately.

  Second, when calculating the annual electricity bill when HEMS is installed, the annual electricity bill is calculated in consideration of the degree to which the user follows the advice information presented by the HEMS, that is, the user's interest in power saving. Is a point. Here, if the user's degree of interest in saving electricity changes, the amount of power used in the house changes, and accordingly the annual electricity charge also changes. Therefore, with the configuration of this embodiment, the user's interest in saving electricity is reduced to the annual electricity charge. Reflecting in the trial calculation, it becomes possible to estimate the annual electricity bill more accurately.

  Thirdly, the annual electricity bill is calculated by reflecting the presence or absence of the storage battery system and the capacity and charge / discharge time of the storage battery when installed. In addition, when the storage battery system and the power generation device are used in combination, the charge / discharge time of the storage battery varies depending on the power generation time of the power generation device. It is possible to accurately calculate the electricity bill when the device and the power generator are used together.

  Fourth, the annual electricity bill is estimated by reflecting the presence / absence of V2H installation, the EV usage time when it is installed, the EV charging time, and the EV power supply time.

Fifth, when multiple rate plans are set for the unit price of grid power, the electricity rate is estimated for each rate plan, and the result of comparison is compared between the rate plans. It is a point to identify. This makes it possible to calculate the annual amount of electricity for each price plan in consideration of the presence or absence of installation of energy-related systems, and to notify the user of the optimal price plan according to whether or not each energy-related system is installed. .
Moreover, even if dynamic pricing is included in the price plan, if the configuration of the present embodiment, the peak value of the power unit price is specified from the statistical data of the power demand, and based on the peak value. It is possible to estimate the annual electricity price for dynamic pricing.

<Other embodiments>
In the above embodiment, the trial calculation device and the trial calculation method of the present invention have been described with reference to an example. However, the above embodiment is for facilitating understanding of the present invention, and does not limit the present invention. The present invention can be changed and improved without departing from the gist thereof, and the present invention includes the equivalents thereof.

In the above embodiment, the electricity rate is estimated as the energy usage fee. However, the present invention can also be applied to other energy usage fees such as a gas fee, kerosene fee, and hydrogen fee. It is. Furthermore, it is good also as adding up an electricity bill, a gas bill, etc., and notifying the said sum total value.
In the above embodiment, the annual electricity bill is estimated and notified to the user. However, the present invention is not limited to this, but the electricity bill per day, the electricity bill per week, and per month It is possible to calculate either the electricity charge for the first time or the electricity charge for several years.

Moreover, in said embodiment, about the HEMS which notifies the advice information for reducing the electric power consumption and electric power consumption in a house, the presence or absence of the installation shall be shown as a candidate regarding a house specification. And in said embodiment, when there existed input operation that there existed installation of HEMS, it was decided that the user estimated the electricity bill in consideration of the degree according to the advice information of HEMS. More specifically, a reduction rate corresponding to the degree according to the advice information is specified, and the specified reduction rate is used as input information for calculating the electricity bill.
On the other hand, some HEMS are capable of automatically controlling the operating state of electrical equipment in a house according to the power supply / demand balance in the house. When this type of HEMS is presented as a candidate and there is an input operation indicating that the HEMS is installed, it is possible to estimate the electricity bill reflecting whether or not automatic control for the electrical equipment is to be executed. Specifically, it is possible to specify a reduction rate according to whether or not automatic control is performed on the electrical equipment, and use the specified reduction rate as input information for calculating the electricity bill.

  To explain more clearly, as a candidate for the HEMS usage mode when there is a HEMS installation, a mode that only visualizes and notifies the power supply and demand in the home, and energy saving advice information along with visualization and notification of the power supply and demand in the home May be presented, and a mode for automatically controlling electric appliances in the house while notifying in-house power supply and demand and energy-saving advice information. Here, each mode is associated with a reduction rate, and when the user selects one of the modes, the reduction rate associated with the selected mode is specified. In such a configuration, the reduction rate may be specified from the usage mode selected by the user, and the annual electricity charge may be estimated using the reduction rate as input information.

Further, the reduction rate may be set for each specific power saving method as shown in FIG. More specifically, data indicating the reduction rate according to the degree according to the advice information of the HEMS, that is, the reduction rate according to a specific power saving method together with or instead of the reduction rate table 31D. The table data shown (hereinafter referred to as other reduction rate table) may be stored. The other reduction rate table will be described with reference to FIG. 19. In this table, the reduction in the case of using an air conditioner for normal heating for each of the main electrical devices in the house and the power saving method for standby power is explained. Rate and the reduction rate when equipment other than air conditioners such as gas and oil stove is used for normal heating. Then, when calculating the electricity bill, if you enter the acceptance / rejection for each of the above power-saving methods on the input screen, the reduction rate according to the adopted power-saving method is specified, and the annual electricity rate is determined using the specified reduction rate as input information. Estimated.
As described above, if a reduction rate is set for a specific power saving method, it is possible to calculate an electricity bill according to whether or not the power saving method is adopted.

  Moreover, in said embodiment, it was decided that the presence or absence of each of HEMS, a storage battery system, and V2H was shown to a user as a candidate of a house specification. And in said embodiment, in said embodiment, the presence or absence of each installation of HEMS, a storage battery system, and V2H, and about the usage form of the system about the system with installation, an annual electricity supply is reflected. It was decided to estimate the fee. However, it is good also as noting all of HEMS, a storage battery system, and V2H but presenting the presence or absence of the installation as a candidate about at least one of these systems. That is, for one or two of the HEMS, storage battery system, and V2H, the annual electricity bill may be calculated by reflecting the presence / absence of the installation and the usage form of the system that is supposed to be installed. .

  Moreover, in said embodiment, in addition to HEMS, a storage battery system, and V2H, the presence or absence of installation of a power generator was shown to a user as a candidate of a house specification. However, the items presented to the user as candidates for housing specifications are not limited to the above contents, and as long as the system affects the power consumption in the house, the presence or absence of the installation is presented as a candidate, and the system It is also possible to calculate the annual electricity bill reflecting the presence or absence of the installation and the usage form of the system when it is installed. In addition, as a system which affects the electric power consumption in a house, a cogeneration system and an exhaust heat recovery system are mentioned, for example.

  Moreover, about the house specification which affects the electric power consumption in a house, a cooking system, a heating system, etc. other than said item are mentioned, It is good also as showing this item to a user as a candidate. For example, “Gas cooking”, “Electric cooking”, and “Gas electric combined use” can be cited as candidates for the cooking method, and “Gas heating”, “Kerosene heating”, “Electric heating” as candidates for the heating method, “Gas and electricity combined use” can be cited, and the annual electricity rate may be estimated by reflecting the results of adoption for each candidate.

Moreover, in said embodiment, when calculating the annual electricity bill by this apparatus 1, it decided to accept the user's input operation regarding a power consumption pattern. And in said embodiment, although it was decided to input the usage time of each room of a house as a power consumption pattern, it is not limited to this, for example, each of the electric equipment in the said room according to each room It is good also as inputting usage time. Alternatively, a plurality of phrases representing lifestyles (for example, “at home during the day” and “at home only at night”) are displayed in a selectable manner, and are selected when the user selects one that matches his / her lifestyle. It may be automatically set to a power consumption pattern registered in advance for a different lifestyle.
Furthermore, in addition to the power consumption pattern, a gas consumption pattern that indicates the amount of gas used in each time zone and a hot water supply pattern that indicates the amount of hot water supply in each time zone are accepted as input information, and the annual electricity bill is calculated by reflecting these as input information. It is good.

  Moreover, in said embodiment, it decided to estimate an annual electricity bill reflecting the presence or absence of installation of energy related systems, such as HEMS, a storage battery system, and V2H, and to notify a user of the said trial calculation result. Furthermore, in the above embodiment, the user is notified of the difference between the annual electricity charge when no energy-related system is installed and the annual electricity charge when the energy-related system is installed and when the energy-related system is not installed. However, the trial calculation result (calculation result) notified to the user is not limited to the above contents. For example, when each energy related system is installed, the introduction cost and the running cost of the system (including the maintenance cost) May be calculated and the result of the calculation may be notified.

  In the above embodiment, the items to be input by the user when calculating the annual electricity bill are the items presented on the input screen shown in FIG. 5, specifically, the construction area of the house, the power company, and the house. The result of the user's adoption with respect to the candidate for each specification, and the user's power consumption pattern. However, these items are merely examples, and contents other than the above items may be included as input items. For example, items relating to the usage forms of HEMS, storage battery system, and V2H are displayed through the input screen. It is good also as a user inputting himself.

1 This device (estimation device)
2 Candidate Presentation Unit 3 Operation Accepting Unit 4 Trial Calculation Unit 5 Trial Calculation Result Notification Unit 6 Storage Unit 10 CPU
11 ROM
12 RAM
13 Hard disk 14 Input device 15 Output device 20 Trial calculation database 21 Housing-related data (first data)
21A Regional conditions 21B Electric power company conditions 21C Housing design conditions 21D HEMS usage conditions 21E Power saving interest level conditions 21F Storage battery system usage conditions 21G V2H usage conditions 21H Power generator usage conditions 22 Power consumption pattern data 23 Master management data (second data)
31A Regional environmental data 31B Unit price data 31C Housing structure data 31D Reduction rate table 31E Battery data 31F EV usage data 31G Power generation device data P Personal computer

According to the trial calculation device of the present invention, the above-described problem is a trial calculation device for trial calculation of a usage fee for energy used in a building, a candidate presentation unit for presenting candidates regarding the specifications of the building to the user, and the candidate A storage unit that stores first data indicating a user's adoption result for the candidate presented by the presentation unit, and the usage fee according to the adoption result indicated by the first data by reading the first data from the storage unit And a candidate calculation unit that presents, as the candidate, whether or not a power management system is installed that notifies advice information for reducing the power usage amount together with the power usage amount in the building. when said first data indicating that installation of the power management system there is stored in the storage unit, the estimation unit, according to the user the advice information It is solved by trial the use rates as input information the parameters indicated by the second data and the second data indicating a parameter that varies by reading from the storage unit according to fit.

According to the trial calculation device, when the power management system is installed in a building, it is possible to estimate the energy usage fee in consideration of the usage form of the system. Specifically, the amount of power used varies depending on the degree to which the user follows the advice information notified by the power management system (for example, whether to follow advice information as much as possible, whether to follow to some extent, or not at all) Along with that, electricity charges also change. Even in such a case, with the above-described configuration, it is possible to accurately calculate the electricity bill reflecting the degree to which the user follows the advice information. That is, with the above trial calculation device, it is possible to accurately estimate the energy usage fee in the building reflecting the presence or absence of the energy-related system.

In addition, according to the second trial calculation device of the present invention, the above problem is a trial calculation device for trial calculation of a usage fee of energy used in a building, and presents candidates related to the specifications of the building to a user. A storage unit that stores first data indicating a user's adoption result for the candidate presented by the candidate presenting unit, and reads the first data from the storage unit to obtain the adoption result indicated by the first data. A trial calculation unit that calculates the usage fee according to the installation, and the candidate presentation unit is provided with a power self-sufficiency system including a power storage device that stores power and discharges the stored power toward a load in the building When the first data indicating that the power self-sufficiency system is installed is stored in the storage unit, the trial calculation unit calculates the capacity of the power storage device and This is solved by reading out the second data indicating at least one piece of information in the operation schedule of the storage device from the storage unit and calculating the usage fee using the at least one piece of information indicated by the second data as input information. The
According to the above trial calculation device, when the power self-sufficiency system is installed in a building, it is possible to estimate the energy usage fee in consideration of the usage form of the system. More specifically, it is possible to accurately calculate the electricity bill reflecting whether or not the power storage device is installed and, if installed, the capacity and storage / discharge time of the power storage device. That is, with the above trial calculation device, it is possible to accurately estimate the energy usage fee in the building reflecting the presence or absence of the energy-related system.

Further, in the trial calculation device, the candidate presentation unit further presents as a candidate whether or not a power generation device that generates power within the site of the building is present, and the storage unit includes the installation of the power generation device. The second data indicating the operation schedule when present is stored, the first data indicating that the power self-sufficiency system is installed, and the first data indicating that the power generator is installed. Is stored in the storage unit, the trial calculation unit reads the second data indicating the operation schedule from the storage unit, and the operation schedule when the power generation device indicated by the second data is installed It is good also as calculating the said usage charge by using as input information.
According to the above configuration, it is possible to accurately calculate the electricity bill when the power storage device and the power generation device are used in combination.

In addition, according to the third estimation device of the present invention, the above-described problem is a calculation device that calculates a usage fee of energy used in a building, and presents candidates related to the specifications of the building to a user. A storage unit that stores first data indicating a user's adoption result for the candidate presented by the candidate presenting unit, and reads the first data from the storage unit to obtain the adoption result indicated by the first data. A trial calculation unit for trial calculation of the corresponding usage fee, wherein the candidate presentation unit receives power from the building and travels between the electric vehicle and the building to supply power to each other. When the first data indicating that the power mutual supply system is installed is stored in the storage unit, the trial calculating unit Second data indicating at least one of the usage time, the charging time for the electric vehicle, and the time for supplying power from the electric vehicle to the building is read from the storage unit and indicated by the second data The problem is solved by calculating the usage fee using at least one time as input information.
According to the trial calculation device described above, when the power mutual supply system is installed in a building, it is possible to estimate the energy usage fee in consideration of the usage form of the system. More specifically, it is possible to accurately calculate the electricity bill reflecting the usage time of the electric vehicle, the charging time for the electric vehicle, and the time for supplying power from the electric vehicle to the building. That is, with the above trial calculation device, it is possible to accurately estimate the energy usage fee in the building reflecting the presence or absence of the energy-related system.

In addition, according to the trial calculation method of the present invention, the above-described problem is a trial calculation method for calculating a usage fee of energy used in a building using a computer, wherein the computer selects candidates for the specification of the building as a user. And the computer reads out the first data indicating the user's adoption result for the candidate from the storage unit in the computer and calculates the usage fee according to the adoption result indicated by the first data. And in the step of presenting the candidate to the user, the computer determines whether or not a power management system is installed to notify advice information for reducing the power usage amount together with the power usage amount in the building. presented as a candidate, a storage of the first data is the storage unit that indicates that there is installed a power management system When and, in the step of estimation of the usage fee, said computer, said second data indicating a power management system for notifying the advice information to reduce the electric power consumption with power consumption in the building storage unit This is solved by calculating the usage fee using the parameter indicated by the second data as input information.
In addition, according to the second calculation method of the present invention, the above-described problem is a calculation method for calculating a usage fee of energy used in a building using a computer, wherein the computer relates to the specifications of the building. A step of presenting candidates to the user, and the computer reads out first data indicating a user's adoption result for the candidate from a storage unit in the computer, and the usage fee according to the adoption result indicated by the first data And in the step of presenting the candidate to the user, the computer self-sufficiency system comprising a power storage device that stores power and discharges the stored power toward the load in the building The first data indicating that the power self-sufficiency system is installed is recorded in the storage unit. In the step of calculating the usage fee, the computer reads from the storage unit second data indicating information on at least one of the capacity of the power storage device and the operation schedule of the power storage device. The problem is solved by calculating the usage fee using the at least one information indicated by the second data as input information.
According to the third estimation method of the present invention, the above-described problem is a calculation method for calculating a usage fee of energy used in a building using a computer, wherein the computer relates to the specifications of the building. A step of presenting candidates to the user, and the computer reads out first data indicating a user's adoption result for the candidate from a storage unit in the computer, and the usage fee according to the adoption result indicated by the first data And in the step of presenting the candidate to the user, installing an electric power mutual supply system that mutually supplies electric power between the electric vehicle that travels by receiving electric power from the building and the building The first data indicating that the power mutual supply system is installed is stored in the storage unit. When calculating the usage fee, the computer calculates at least one of a usage time of the electric vehicle, a charging time for the electric vehicle, and a time for supplying power from the electric vehicle to the building. This is solved by reading out the second data to be shown from the storage unit and calculating the usage fee using the at least one time indicated by the second data as input information.
According to the above method, when installing at least one system among a power management system, a power self-sufficiency system, and a power mutual supply system for a building, the energy usage fee is accurately determined in consideration of the usage form of the system. It is possible to make a trial calculation.

ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to estimate the energy usage fee in a building accurately reflecting the presence or absence of each of a power management system, a power self-sufficiency system, and a power mutual supply system.
Further, according to the present invention, when a plurality of rate plans are set for the unit price of system power, it is possible to present an optimal rate plan according to the presence or absence of an energy-related system.

According to the trial calculation device of the present invention, the above-described problem is a trial calculation device for trial calculation of a usage fee for energy used in a building, a candidate presentation unit for presenting candidates regarding the specifications of the building to the user, and the candidate It estimates a storage unit for storing indicates to data users recruitment results for the candidate presentation unit is presented, the use fee according to the prior SL employed results reads data indicating the adoption results from the storage unit comprising a trial calculation unit for, the, the candidate presentation unit presents the presence or absence of the installation of a power management system for notifying the advice information to reduce the electric power consumption with power consumption in the building as the candidate, the when employed as a result the power management indicates to data that is present installation system is stored in the storage unit, the estimation unit, every time the user according to the advice information It is solved by trial the use fee pre Symbol parameter as input information parameter that changes according to have read the shown to data from the storage unit.

In addition, according to the second trial calculation device of the present invention, the above problem is a trial calculation device for trial calculation of a usage fee of energy used in a building, and presents candidates related to the specifications of the building to a user. and parts, in accordance with the prior SL adoption result reading a storage unit for storing indicates to data users recruitment results for the candidate to which the candidate presentation unit is presented, the data indicating the adoption results from the storage unit A trial calculation unit that calculates the usage fee, and whether or not the candidate presentation unit has a power self-sufficiency system provided with a power storage device that stores power and discharges the stored power toward the load in the building It was presented as the candidate, when the employed results as the power indicates to data that is present installation of self-sufficiency system is stored in the storage unit, the estimation unit, the capacity of the electric storage device and the front Be solved by trial said usage fee to indicate to data of at least one of information as input information before Symbol least one of information reading from the storage unit of the operation of the power storage device schedule.
According to the above trial calculation device, when the power self-sufficiency system is installed in a building, it is possible to estimate the energy usage fee in consideration of the usage form of the system. More specifically, it is possible to accurately calculate the electricity bill reflecting whether or not the power storage device is installed and, if installed, the capacity and storage / discharge time of the power storage device. That is, with the above trial calculation device, it is possible to accurately estimate the energy usage fee in the building reflecting the presence or absence of the energy-related system.

Further, in the trial calculation device, the candidate presentation unit further presents as a candidate whether or not a power generation device that generates power within the site of the building is present, and the storage unit includes the installation of the power generation device. wherein indicates the operation schedule to the data is stored when there, the adoption results as the power indicates that there is installed a self-contained system to data, and the installation of the power generator as the adopted result when shown to data that there is stored in the storage unit, the estimation unit reads indicates to data the operation schedule from the storage unit, wherein when the installation of the power plant there The usage fee may be estimated using the operation schedule as input information.
According to the above configuration, it is possible to accurately calculate the electricity bill when the power storage device and the power generation device are used in combination.

In addition, according to the third estimation device of the present invention, the above-described problem is a calculation device that calculates a usage fee of energy used in a building, and presents candidates related to the specifications of the building to a user. and parts, in accordance with the prior SL adoption result reading a storage unit for storing indicates to data users recruitment results for the candidate to which the candidate presentation unit is presented, the data indicating the adoption results from the storage unit A trial calculation unit that estimates the usage fee, and the candidate presentation unit is installed with an electric power mutual supply system that mutually supplies electric power between the electric vehicle that travels by receiving electric power from the building and the building when the existence is presented as the candidate, the power cross indicates that there installing the supply system to the data is stored in the storage unit as the adoption result, the estimation unit, the electric vehicle Hours, at least one time before shown to data read out from the storage unit's rating of at least one of time of said time for supplying power to the buildings charging time and from the electric vehicle to the electric vehicle The problem is solved by calculating the usage fee as input information.
According to the trial calculation device described above, when the power mutual supply system is installed in a building, it is possible to estimate the energy usage fee in consideration of the usage form of the system. More specifically, it is possible to accurately calculate the electricity bill reflecting the usage time of the electric vehicle, the charging time for the electric vehicle, and the time for supplying power from the electric vehicle to the building. That is, with the above trial calculation device, it is possible to accurately estimate the energy usage fee in the building reflecting the presence or absence of the energy-related system.

In addition, according to the trial calculation method of the present invention, the above-described problem is a trial calculation method for calculating a usage fee of energy used in a building using a computer, wherein the computer selects candidates for the specification of the building as a user. a step of presenting to the computer, and a step of estimation of the use fee according to the prior SL employed results reads the user adoption results indicate to data from the storage unit in the computer for the candidate And in the step of presenting the candidate to the user, the computer presents, as the candidate, whether or not a power management system for notifying the advice information for reducing the power usage amount along with the power usage amount in the building is installed. , when the employed result indicates to data that is present installation of the power management system is stored in the storage unit, In the process of estimate the serial use fee, the computer, the use fee to indicate to data parameters that vary depending on the degree to which the user according to the advice information as input information before Symbol parameters are read from the storage unit It is solved by trial calculation.
In addition, according to the second calculation method of the present invention, the above-described problem is a calculation method for calculating a usage fee of energy used in a building using a computer, wherein the computer relates to the specifications of the building. a step of presenting a candidate to the user, step the computer, to estimate the usage fee according to the prior SL employed results reads the user adoption results indicate to data from the storage unit in the computer for the candidate And in the step of presenting the candidate to the user, whether or not a power self-sufficiency system including a power storage device that stores power and discharges the stored power toward a load in the building is installed in the computer. was presented as the candidate, when the employed result indicates to data that is present installation of the power self-sufficiency system is stored in the storage unit , In the step of estimation of the use fee, the computer, at least one pre-Symbol a indicates to data of at least one of the information in the operating schedule of capacity and the electric storage device is read from the storage unit of the electric storage device It can be solved by calculating the usage fee using the above information as input information.
According to the third estimation method of the present invention, the above-described problem is a calculation method for calculating a usage fee of energy used in a building using a computer, wherein the computer relates to the specifications of the building. a step of presenting a candidate to the user, step the computer, to estimate the usage fee according to the prior SL employed results reads the user adoption results indicate to data from the storage unit in the computer for the candidate And in the step of presenting the candidate to the user, whether or not an electric power supply system that mutually supplies electric power between the electric vehicle and the building that receives electric power from the building and travels is installed. presented as a candidate, when the employed results as the power cross indicates that there installing the supply system to the data is stored in the storage unit, the use In the process of estimate rates, the computer, the electric vehicle of their time, at least one time indicate to de chromatography of the time for supplying power to the buildings charging time and from the electric vehicle of the electric vehicles Symbol before reading the data from the storage unit is solved by a trial calculation the use rates as input information at least one time.
According to the above method, when installing at least one system among a power management system, a power self-sufficiency system, and a power mutual supply system for a building, the energy usage fee is accurately determined in consideration of the usage form of the system. It is possible to make a trial calculation.

Hereinafter, each data in the trial calculation database 20 will be described in detail.
The house related data 21 is data generated when the operation receiving unit 3 receives an input operation performed through the input screen illustrated in FIG. 5. In other words, housing-related data 21 corresponds to user adoption results for a candidate the candidate presentation unit 2 is presented on the input screen shown to data. More specifically, as shown in FIG. 4, the housing-related data 21 includes a plurality of condition data indicating the user's employment results. The condition data includes the area condition 21A, the power company condition 21B, and the house design condition 21C. , HEMS usage conditions 21D, power-saving interest level conditions 21E, storage battery system usage conditions 21F, V2H usage conditions 21G, and power generation device usage conditions 21H are included.

More specifically, the regional environment data 31A indicates the transition of the average temperature, the amount of solar radiation, and the power demand in the region with which the data 31A is associated, by month and day. Here, the average temperature and is daily mean temperature, day and morphism amount is that of the direct day morphism amount, in the present embodiment employs the solar radiation amount at each time in a representative day of each month . Note that the amount of solar radiation is preferably defined for each azimuth angle based on, for example, true south. The power demand is a power demand for commercial power, and more specifically indicates a demand amount of system power in a region associated with the regional environment data 31A. The power demand may be the total power demand on a certain day, or may be the power demand during a time period when the power demand peaks on a certain day.

The reduction rate table 31D is data associated with the degree of the user's compliance with the advice information notified by the HEMS to reduce the amount of power used in the house, that is, the data associated with the candidate for the user's power saving interest level. It corresponds to the use form to indicate to the data.

Battery data 31E is data associated with the candidate types of the storage battery to be used when installing the battery system there corresponds the usage of the battery storage system to indicate to data.
Specifically, the storage battery data 31E is prepared for each storage battery type, and defines the specifications and operating conditions of the storage battery. If it demonstrates referring FIG. 11, the storage battery data 31E prescribes | regulates the capacity | capacitance of a storage battery, a useable ratio, and an operation schedule. Here, the usable rate of the storage battery is an index indicating how much the remaining amount of stored electricity can be discharged with respect to the capacity of the storage battery. Moreover, the operation schedule of the storage battery defines the charge time and discharge time of the storage battery in one day, and strictly, defines the charge start time, charge end time, discharge start time, and discharge end time. . This information is only an example for defining the operation schedule. For example, when setting an operation schedule to continue discharging until the discharge power is used up, the discharge is not performed without defining the discharge end time. The remaining amount of electricity stored at the time of termination is defined.

EV usage data 31F corresponds to usage of the V2H to indicate to data, specifically defines the specifications and operating conditions of the EV. Referring to FIG. 12, the EV usage data 31F is data indicating the EV capacity, the travel distance per day, the fuel consumption, and the usage schedule. Here, the usage schedule is the EV usage time (strictly, departure time and return time), EV charging time (strictly, charging start time and charging end time), and supply of electric power from the EV to the house. Power supply time (strictly speaking, power supply start time and power supply end time). It is desirable that a plurality of time zones can be set for each of the three times.

The power generation device data 31G is data associated with a power generation device type candidate (for example, a solar cell or a fuel cell), and is prepared for each type as shown in FIGS. 13A and 13B. To describe with reference to FIGS. 13A and 13B, the power generation device data 31G is design specifications of the device when the installation of the power plant there corresponds the installation conditions and operation pattern such as shown to data.

Claims (8)

It is a trial calculation device that calculates the usage fee of energy used in a building,
A candidate presenting unit for presenting candidates regarding the specifications of the building to the user;
A storage unit that stores first data indicating a user's adoption result for the candidate presented by the candidate presentation unit;
A trial calculation unit that reads out the first data from the storage unit and calculates the usage fee according to the adoption result indicated by the first data;
The candidate presentation unit includes an energy management system for notifying energy usage in the building, an energy self-sufficiency system for storing energy and supplying it to a load in the building, and a vehicle that receives energy from the building and travels the building Among the energy mutual supply systems that mutually supply energy with each other, the presence or absence of installation of at least one system is presented as the candidate,
When the first data indicating that the at least one system is installed is stored in the storage unit, the trial calculation unit indicates a usage form of the at least one system stored in the storage unit. A trial calculation apparatus characterized in that two usages are read and the usage fee is estimated by using the usage form indicated by the second data as input information. The energy management system is a power management system that notifies advice information for reducing the power usage amount together with the power usage amount in the building,
The candidate presenting unit presents the presence or absence of the power management system as the candidate,
When the first data indicating that the power management system is installed is stored in the storage unit, the trial calculation unit indicates the second data indicating a parameter that changes according to a degree that the user follows the advice information. The trial calculation apparatus according to claim 1, wherein the usage fee is estimated using the parameter indicated by the second data as input information. The energy self-sufficiency system is a power self-sufficiency system including a power storage device that stores power and discharges the stored power toward a load in the building,
The candidate presenting unit presents whether or not the power self-sufficiency system is installed as the candidate,
When the first data indicating that the power self-sufficiency system is installed is stored in the storage unit, the trial calculation unit is information on at least one of the capacity of the power storage device and the operation schedule of the power storage device 3. The trial calculation apparatus according to claim 1, wherein the usage fee is estimated by using the at least one information indicated by the second data as input information. The candidate presenting unit further presents as a candidate whether or not a power generation device that generates power is generated within the site of the building,
The storage unit stores the second data indicating the operation schedule when the power generation device is installed,
When the first data indicating that the energy self-sufficiency system is installed and the first data indicating that the power generator is installed are stored in the storage unit, the trial calculation unit is configured to perform the operation 4. The usage fee is estimated by reading the second data indicating a schedule from the storage unit and using the operation schedule when the power generation device indicated by the second data is installed as input information. The trial calculation device described in 1. The energy mutual supply system is an electric power mutual supply system that supplies electric power to each other between the electric vehicle as the vehicle and the building,
The candidate presenting unit presents the presence / absence of installation of the power mutual supply system as the candidate,
When the first data indicating that the power mutual supply system is installed is stored in the storage unit, the trial calculation unit includes the usage time of the electric vehicle, the charging time of the electric vehicle, and the electric vehicle. From the storage unit, the second data indicating at least one of the times for supplying power to the building is read from the storage unit, and the usage fee is estimated using the at least one time indicated by the second data as input information. The trial calculation apparatus according to claim 1, wherein: The storage unit stores unit price data indicating a unit price of electric power supplied from a commercial power source for each of the charge plans set in plural for the unit price,
2. The trial calculation unit reads the unit price data for each rate plan from the storage unit and calculates the usage fee for each rate plan using the unit price indicated by the unit price data as input information. The trial calculation device according to any one of 5. The price plan includes dynamic pricing in which the unit price fluctuates in a day and the peak value of the unit price is determined according to the power demand for the commercial power supply on the application date of the peak value. And
The storage unit stores statistical data related to the power demand,
The trial calculation unit predicts the power demand based on the statistical data read from the storage unit, specifies the peak value from the prediction result of the power demand, and uses the specified peak value as input information to the rate plan 7. The trial calculation device according to claim 6, wherein the usage fee is calculated when the dynamic pricing is set to the dynamic pricing. It is a trial calculation method for calculating the usage fee of energy used in a building using a computer,
The computer presenting candidates for specifications of the building to a user;
The computer reads first data indicating a user adoption result for the candidate from a storage unit in the computer and calculates the usage fee according to the adoption result indicated by the first data; and
In the step of presenting the candidate to the user, the computer uses an energy usage notification system that notifies the energy usage in the building, an energy self-sufficiency system that stores energy and supplies it to the load in the building, and from the building Among the energy mutual supply systems that mutually supply energy between the vehicle that travels by receiving energy and the building, the presence or absence of installation of at least one system is presented as the candidate,
When the first data indicating that the at least one system is installed is stored in the storage unit, in the step of calculating the usage fee, the computer stores the at least one stored in the storage unit. A trial calculation method characterized in that second usage data is read and the usage fee is calculated by using the usage form indicated by the second data as input information.

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