TW201437948A - Estimation device and estimation method - Google Patents

Abstract

An objective of the present invention is to make an estimation, with good precision, residential electricity rates which reflects the presence of an HEMS, an accumulator system, or a V2H wherein power is mutually exchanged between an electric vehicle and a residence. A computer which makes an estimation of residential electricity rates comprises: a candidate presenting unit (2) which presents to a user whether an HEMS, an accumulator system, and/or a V2H are available as candidates relating to residence specifications; and an estimation unit (4) which reads from a storage unit (6) residence-related data which denotes user adoption results with respect to the candidates which the candidate presenting unit (2) has presented, and makes an estimation of the electricity rates according to the adoption results which the data denotes. When the residence-related data which denotes availability for each system is stored in the storage unit (6), the estimation unit (4) reads out master management data which is stored in the storage unit (6) and which denotes a usage state of each system and makes the estimation of the electricity rates with the usage state which the data denotes as input information thereof.

Description

Trial calculation device and trial calculation method

The present invention relates to a trial calculation device and a trial calculation method for trial use of an energy usage fee for use in a building, and more particularly to a trial calculation device and a trial calculation method for calculating an energy usage fee when a system is introduced into a building.

People are very concerned about water and gas costs. Especially for Japan, after the Great East Japan Earthquake, due to the decline in power supply capacity caused by the shutdown of nuclear power plants, the unit price of electricity has gradually increased, and people are more concerned about water and gas costs. Therefore, it is necessary to accurately calculate the technology of water and gas gas charges corresponding to their own lifestyle or living environment.

Moreover, in recent years, the situation in which a home generator or a waste heat recovery machine is installed in a building site has been gradually increased. That is to say, when building a building or renovating a building, it is sometimes necessary to review the introduction of its own generator or waste heat recovery machine. In general, the cost of introduction and the energy reduction effect caused by the introduction of the machine are compared. To determine if you need to import the machine. In addition, there are cases where the introduction of the above-mentioned machines is reviewed in order to prevent emergencies such as power outages or disasters.

In the background as described above, in recent years, techniques for predicting the cost of water and electricity gas when introducing a solar generator or a steam-electric cogeneration device have been developed (for example, refer to Patent Documents 1 to 3). According to the procedures disclosed in Patent Documents 1 to 3, when predicting the water and electricity gas cost in the house corresponding to the occupant's lifestyle or house size, it is conceivable to introduce a solar generator or a cogeneration system. Try to calculate the water and gas cost for the energy reduction effect of the machine.

If the hydroelectric gas fee prediction program as described above is used, the trial result of the hydroelectric gas fee can be referred to at the stage of planning the construction of the building or the reconstruction of the building, and the solar generator can be appropriately judged based on the trial result. Or steam and electricity symbiosis machine. That is, the predicted value of the gas and electricity gas fee calculated by the programs disclosed in Patent Documents 1 to 3 is a basis for judging whether or not a solar generator or a cogeneration apparatus is required.

Patent Document 1: Japanese Laid-Open Patent Publication No. 2010-282546

Patent Document 2: Japanese Patent No. 4068931

Patent Document 3: Japanese Patent No. 4153897

On the other hand, in recent years, as a machine for improving the energy use situation in buildings, an energy management system has been developed which monitors energy use conditions in buildings such as houses or buildings represented by smart houses; energy self-sufficiency system For example, the battery is stored in advance to store energy, and the energy is supplied to the load in the building as needed; and the energy mutual supply system, such as V2H (Vehicle to Home, electric vehicle to the home), in the vehicle and the building The materials supply energy to each other. In the case where such systems are introduced, of course, the gas and electricity gas charges are affected. However, for the programs disclosed in Patent Documents 1 to 3, it is difficult to reflect the correlation because it does not correspond to the setting of the above system. Try to calculate the gas and electricity gas fee. Therefore, it is currently in a situation where it is difficult to obtain useful information (judgment material) when reviewing whether it is necessary to introduce the above system.

In addition, in recent years, power is supplied from commercial power sources (hereinafter also referred to as A plurality of fee plans are set for the unit price of the system power, and the power consumer can select an appropriate fee plan from the plurality of cost plans corresponding to the lifestyle of the user, specifically, the energy consumption mode. On the other hand, when the system of the above energy management system, the energy self-sufficiency system, and the energy mutual supply system is introduced, the system power consumption is gradually changed, and therefore, there is an optimal cost plan corresponding to the above system. The possibility of gradual change with or without.

Therefore, the present invention has been made in view of the above problems, and an object of the invention is to provide an energy source system that can reflect the energy management system, the energy self-sufficiency system, and the energy mutual supply system, and accurately calculate the energy in the building. Trial calculation device and trial calculation method.

Further, another object of the present invention is to present an optimum cost plan corresponding to the presence or absence of the energy-related system when a plurality of charge plans are set for the system power unit price.

The above problem is solved in that the trial calculation device according to the present invention is a trial calculation device for calculating the usage fee of the energy used in the building, and includes a candidate presentation unit that prompts the user with the specifications of the building. a storage unit storing a first data indicating a result of using the candidate presented by the candidate presentation unit by the user; and a trial unit reading the first data from the storage unit The usage fee corresponding to the adoption result shown in the first data; the candidate presentation unit presenting the presence or absence of the setting of at least one of the energy management system, the energy self-sufficiency system, and the energy mutual supply system as the candidate, The energy management system notifies the energy usage in the building, the energy self-sufficient system stores energy and supplies energy to the load in the building, and the energy mutual supply system is a traffic that travels from the above building to obtain energy. Between the tool and the above building Supplying energy to each other; and when the first data indicating the at least one system is stored in the storage unit, the trial unit reads the second data stored in the storage unit indicating the usage form of the at least one system The usage fee is calculated by using the above-described utilization form shown in the second data as input information.

According to the above-described calculation device, when at least one of the energy management system, the energy self-sufficiency system, and the energy mutual supply system is installed in a building, the energy usage fee can be calculated in consideration of the utilization form of the system. In other words, as long as the above-mentioned trial device is used, it is possible to accurately calculate the energy usage fee in the building by reflecting the presence or absence of the energy-related system.

Further, in the above-described calculation device, the energy management system may be a power management system that notifies a power usage amount in the building and advice information for reducing the power usage amount; and the candidate presentation unit prompts the The presence or absence of the power management system is the candidate; when the storage unit stores the first data indicating that the power management system is installed, the trial unit reads out from the storage unit that the user corresponds to the suggestion information. The second data of the parameter that changes according to the degree of use, the above-mentioned parameter shown in the second data is used as input information to calculate the usage fee.

The amount of electricity used corresponds to the extent to which the user has complied with the advice information notified by the power management system (for example, by adhering to the recommended information, to some extent, to the advice information, or not to the advice information at all), and the electricity bill is also generated. Variety. Even in such a case, as long as the above configuration is made, it is possible to accurately calculate the electricity bill by reflecting the degree of compliance of the user with the advice information.

Further, in the above-described calculation device, the energy self-sufficient system may include a power self-sending system including a power storage device that stores electric power and releases the stored electric power to a load in the building; Ministry, suggesting the above-mentioned power self-sufficiency system The presence or absence of the above-mentioned candidate; when the storage unit stores the first data indicating that the power supply system is installed, the trial unit reads out the capacity of the power storage device and the operation row of the power storage device from the storage unit. The second data of at least one piece of information in the process is used to calculate the usage fee by using the at least one piece of information indicated by the second data as input information.

According to the above configuration, it is considered whether or not the power storage device is provided, and when the power storage device is installed, the power storage device can be accurately calculated by reflecting the capacity of the power storage device or the storage/discharge time.

Further, in the above-described trial calculation device, the candidate presentation unit may further indicate whether or not the installation of the power generation device is the candidate, wherein the power generation device emits electric power in the building site; and the storage portion stores the display setting. The second data of the operation schedule in the case of the power generation device; wherein the storage unit stores the first data indicating that the energy supply system is installed, and the first data indicating that the power generation device is installed; The commissioning unit reads the second data indicating the operation schedule from the storage unit, and calculates the usage fee by using the operation schedule when the power generation device is provided as the second data 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 generating device are used in combination.

Further, in the above-described calculation device, the energy mutual supply system may be a power mutual supply system that supplies power between the electric vehicle as the vehicle and the building, and the candidate presentation unit may indicate The presence or absence of the power supply system is the candidate; when the storage unit stores the first data indicating that the power mutual supply system is installed, the trial unit reads the second data from the storage unit, and At least one time indicated in the second data is used as input information to calculate the usage fee, the second The data indicates at least one of the utilization time of the electric vehicle, the charging time of the electric vehicle, and the time during which the electric vehicle supplies electric power to the building.

According to the above configuration, it is possible to accurately calculate the electricity rate by reflecting the use time of the electric vehicle, the charging time of the electric vehicle, and the time from the electric vehicle to the building.

Further, in the above-described calculation device, the storage unit may store the unit price data indicating the unit price of the electric power supplied from the commercial power source in a plurality of charge plan categories set for the unit price; the trial calculation unit The storage unit reads the unit price data of the fee plan category, and uses the unit price indicated by the unit price data as input information, and calculates the usage fee according to the fee plan category.

According to the above configuration, when a plurality of charge plans are set for the system power unit price, the electricity charges are calculated for each charge plan, and the best cost plan can be specified by comparing the trial results between the charge plans. In other words, as long as the above configuration is employed, when a plurality of charge plans are set for the system power unit price, an optimal charge plan can be presented in accordance with the presence or absence of the energy related system.

Moreover, in the above-described trial calculation device, the fee plan may include dynamic pricing, wherein the dynamic pricing is that the unit price changes during the day, and the peak value of the unit price corresponds to the commercial use in the peak application date. The power storage unit determines the power demand; the storage unit stores statistical data related to the power demand; and the trial calculation unit predicts the power demand based on the statistical data read from the storage unit, and based on the prediction result of the power demand. Specifically, the above-mentioned peak value is specified, and the above-mentioned peak value is used as input information, and the above-mentioned usage fee is set as the above-mentioned fee plan.

According to the above configuration, the peak value of the power unit price is specified by the statistics of the power demand. According to the peak, the trial fee plan is set to the electricity fee at the time of dynamic pricing. In other words, as long as the above configuration is made, it is possible to appropriately calculate the electricity fee when the fee plan is set to the dynamic pricing.

Further, the above problem is solved in the following manner: the trial calculation method according to the present invention is a trial calculation method using a computer to calculate the usage fee of the energy used in the building, and has the following steps: the computer prompts the user with the above building a candidate for the specification; and the computer reads the first data indicating the result of the user's use of the candidate from the storage unit in the computer, and calculates the use corresponding to the result of the use shown in the first data. In the step of prompting the user with the candidate, the computer prompts the presence or absence of the setting of at least one of the energy usage notification system, the energy self-sufficiency system, and the energy mutual supply system as the candidate, and the energy usage notification system is Notifying the energy usage amount in the building, the energy self-sufficient system storing energy and supplying energy to a load in the building, the energy mutual supply system being a vehicle traveling with the energy from the building and the above building The materials cooperate with each other to supply energy; when the above storage department stores When the first data of the at least one system is provided, in the step of calculating the usage fee, the computer reads the second data indicating the usage form of the at least one system stored in the storage unit, and the second data The usage fee shown in the data is used as the input information to calculate the usage fee.

According to the above method, when at least one of the energy management system, the energy self-sufficiency system, and the energy mutual supply system is installed in a building, the energy usage fee can be accurately calculated in consideration of the utilization form of the system.

According to the present invention, it is possible to accurately calculate the energy usage fee in a building by reflecting the presence or absence of each of the energy management system, the energy self-sufficiency system, and the energy mutual supply system.

Moreover, according to the present invention, when a plurality of fee plans are set for the system power unit price, Prompt for the best cost plan corresponding to the presence or absence of an energy related system.

1‧‧‧This device (trial device)

2‧‧‧Candidate Tips

3‧‧‧Operational Acceptance Department

4‧‧‧Trial calculation department

5‧‧‧ Trial calculation results notification department

6‧‧‧ Storage Department

10‧‧‧CPU

11‧‧‧ROM

12‧‧‧RAM

13‧‧‧ Hard disk

14‧‧‧Input machine

15‧‧‧Output machine

20‧‧‧Trial database

21‧‧‧Residential related materials (1st information)

21A‧‧‧Regional conditions

21B‧‧‧Power Company Conditions

21C‧‧‧ Residential Design Conditions

21D‧‧‧HEMS utilization conditions

21E‧‧‧Power saving conditions

21F‧‧‧Battery system utilization conditions

21G‧‧V2H utilization conditions

21H‧‧‧Power generation equipment utilization conditions

22‧‧‧Power consumption model information

23‧‧‧Master Management Information (2nd Information)

31A‧‧‧Regional environmental information

31B‧‧‧ unit price information

31C‧‧‧ Residential Structure Information

31D‧‧‧ Reduction Rate Form

31E‧‧‧Battery data

31F‧‧‧EV utilization data

31G‧‧‧Power Plant Information

P‧‧‧Personal Computer

Fig. 1 is a conceptual diagram showing a test apparatus according to an embodiment of the present invention.

Fig. 2 is a view showing a hardware configuration of a test apparatus according to an embodiment of the present invention.

Fig. 3 is a view showing the configuration of a test apparatus according to an embodiment of the present invention from a functional surface.

Fig. 4 is a view showing the configuration of data stored in a storage unit of the trial apparatus according to the embodiment of the present invention.

Fig. 5 is a view (1) showing an example of an input screen of information necessary for trial calculation.

Fig. 6 is a view (2) showing an example of an input screen of information necessary for trial calculation.

Fig. 7 is a view showing an example of geographical environment data.

Fig. 8 is a view showing an example of power unit price data.

Fig. 9 is a view showing an example of the structure of the house.

Fig. 10 is a view showing an example of a reduction rate table.

Fig. 11 is a view showing an example of battery data.

Fig. 12 is a view showing an example of EV utilization data.

Fig. 13A is a view showing an example of information on a power generating device related to a solar cell.

Fig. 13B is a view showing an example of information on a power generating device related to a fuel cell.

Fig. 14 is a view showing the sequence of the trial of the annual electricity bill.

Fig. 15 is a view showing a flow (the first) relating to the annual electricity fee trial processing.

Fig. 16 is a view showing a flow (second) related to the annual electricity fee trial processing.

Fig. 17 is a view showing a flow (the third) relating to the annual electricity fee trial processing.

Fig. 18 is a view showing the order of calculation when the power unit price peak value at the time of dynamic pricing selection.

Fig. 19 is a view showing a modified example of the reduction rate table.

Hereinafter, a test apparatus and a trial calculation method according to an embodiment (hereinafter referred to as the present embodiment) of the present invention will be described with reference to the drawings. In the following description, the usage fee of the energy used in the house, which is one example of the trial building, in particular, the electricity fee will be described as an example. However, the house is only one example of a building, and the present invention is also applicable to a case where a building other than a house is used, such as a commercial building, a building in a factory, a store, or the like. Moreover, the term "residential" refers to a house that includes both a single-family house and a concept of a room in a condominium like a building.

<Overview of the trial calculation device and the trial calculation method of the present embodiment>

First, an overview of the trial calculation device and the trial calculation method of the present embodiment will be given.

The trial calculation device (hereinafter referred to as the present device) 1 of the present embodiment is used, for example, as a business support tool for a construction business, and as shown in FIG. 1, the user is presented with a water and electricity gas fee in a house, particularly used in a house. The trial result of the annual electricity use fee (annual electricity fee). Here, the term "user" refers to the result of trial calculation using the annual electricity bill. Specifically, it refers to the customer who reviews the purchase or modification of the house, or the review of the introduction of energy-related systems such as HEMS, battery system and V2H described later. Customers, etc.

In addition, the annual electricity bill can be the electricity fee calculated on a one-year basis, the electricity fee calculated on a one-month basis multiplied by the total electricity fee for 12 months, and the electricity fee calculated on a one-day basis multiplied by 365 days. A total of any of the electricity charges earned.

Further, the present device 1 is characterized in that it is considered whether or not to introduce a HEMS, which will be described later, In the case of an energy-related system such as a battery system or a V2H, and in the case of introducing the energy-related system, the electricity cost can be calculated by considering the utilization form of the energy-related system. Here, the energy-related system refers to a system in which the presence or absence of the introduction or the use form affects the amount of electricity used in the house and the annual electricity rate.

For example, when reviewing the purchase or renovation of a home, the user reviews whether or not the energy-related system needs to be introduced. However, according to the characteristics of the device 1, it is possible to appropriately judge whether or not the energy-related system is introduced based on the calculation result of the electricity fee. Need to import the system.

Specifically, as shown in FIG. 1, the apparatus 1 calculates the annual electricity bill when the energy-related system is introduced (in FIG. 1, the annual electricity bill when the HEMS and the battery system are introduced), and prompts the user. Trial results. Moreover, the apparatus 1 calculates the annual electricity bill when the energy-related system is not introduced at all, and presents the result to the user as a reference fee. Further, the device 1 calculates the difference between the annual electricity bill when the energy-related system is introduced and when the energy-related system is not introduced (marked as deduction in FIG. 1), and notifies the user of the difference. As a result, the user can visually confirm the annual electricity bill and the introduction effect when the energy-related system is introduced, and can judge whether or not the energy-related system needs to be imported based on the information.

Further, as shown in FIG. 1, the device 1 is constituted by a computer, and specifically, is constituted by a personal computer P owned by a salesperson (hereinafter referred to as a staff member) of a builder, and is stored in the computer in order to calculate the electricity fee. Is the required information or program.

In other words, the trial calculation method of the present embodiment is a trial calculation method for calculating the electricity rate using a computer, and specifically, the processing of the trial electricity fee is performed by reading and executing the program recorded in the computer.

Further, the computer constituting the device 1 is not limited to the personal computer P owned by the worker, and may be, for example, a so-called cloud service. That is, the staff Some personal computers P can also be connected to an external server (such as an ASP server managed by a manufacturer) via the Internet. The external server tries to calculate the electricity fee, and the personal computer P side of the staff member receives the trial calculation. result. Moreover, the computer is not limited to the personal computer P, and a mobile terminal such as a smart phone or a tablet computer can also be used.

Moreover, when the electricity bill is trial-calculated, the personal computer P owned by the worker accepts the input operation of the user via the input device such as a keyboard, a mouse, or a touch panel. This input operation is performed in order to input information necessary for the trial of the electricity bill, and specifically, the input operation is performed via the input screen illustrated in FIG. 5 or FIG. 6 which will be described later.

In addition, the above input operation may be directly performed by the user, or may be performed instead of the user after the staff member listens to the user's opinion.

<About the structure of this device>

Next, the configuration of the device 1 will be described.

As described above, the present device 1 is constituted by a personal computer P owned by a worker. When the hardware configuration of the personal computer P is described, as shown in FIG. 2, the personal computer P is provided with a CPU 10, a ROM 11, and a RAM 12. , hard disk 13, input machine 14 and output machine 15. The CPU 10 executes various programs by reading the programs stored in the ROM 11 or the hard disk 13, and the program includes a program for calculating the electricity bill (hereinafter referred to as a trial program).

The RAM 12 stores data necessary for the CPU 10 to perform various processes, and the data includes information indicating input information of the user accepted by the input device 14.

The hard disk 13 is an auxiliary storage device in which various programs necessary for the above-mentioned trial calculation programs or various kinds of data necessary for executing the trial calculation program are stored therein (specifically, the test described later) Calculation database 20). Further, as the auxiliary storage device, a storage medium other than the hard disk 13 such as an SSD (Solid State Drive) or a flash memory can be used to store and unload the storage medium for the personal computer P.

The input machine 14 includes a pointing device such as a keyboard or a mouse, and as described above, it accepts user operations for inputting information necessary for the trial of the electricity bill. Further, the input device 14 also accepts a user operation for overwriting the data stored in the hard disk 13.

The output device 15 is composed of a printer that displays an input screen for inputting an operation by a user or an electric charge calculation result, or a printer that prints a trial result on a medium such as paper.

The configuration of the device 1 described above will be described with reference to the functional aspects.

As shown in FIG. 3, the device 1 includes a candidate presentation unit 2 that presents a candidate related to a house specification to the user to input information necessary for the electricity fee trial calculation, and an operation acceptance unit 3 that accepts The operation performed by the user for the result of the candidate presented by the candidate presentation unit 2. Further, the present apparatus 1 includes a trial calculation unit 4 that tests the annual electricity bill, and a trial result notification unit 5 that notifies the user of the estimated annual electricity bill via the output device 15 such as a display. Further, the device 1 includes a storage unit 6 that stores data for the calculation of the electricity bill, such as information indicating the contents of the user's operation accepted by the operation accepting unit 3. Each of the components of the device 1 (that is, the candidate presentation unit 2, the operation accepting unit 3, the trial calculation unit 4, the trial result notification unit 5, and the storage unit 6) is a function of the personal computer P held by the worker. achieve.

Hereinafter, each component of the device 1 will be individually described.

The candidate presentation unit 2 is realized by the CPU 10, the ROM 11, the RAM 12, the hard disk 13, the output device 15, and the above-described trial program of the personal computer P, and presents the candidate related to the house specification to the user.

If it is specifically explained, when the annual electricity bill is calculated by the device 1, The selection presentation unit 2 reads, for example, the material of the input screen shown in FIG. 5, and displays the input screen on the display. In the input screen, in addition to the name of the house product (marked as item X and item Y in the figure) as a candidate for housing specifications, there is also a candidate for a residential construction area (marked in the figure). It is a candidate for the power company that is used in the A region, the B region, or the C region (marked as the power company L, the power company M, and the power company N).

In addition, the candidate illustrated in FIG. 5 is only an example, and candidates other than the candidates 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. 5. In addition, the candidate power company that is presented when the annual power bill is estimated by the device 1 may be automatically limited to the power that can be utilized in the area by selecting the candidate construction area to be presented in association with the home construction area. The company will then prompt you. Alternatively, it can also reflect the liberalization of electricity, and it is recommended that all power companies in the country be candidates as they do not adhere to the residential construction area.

Further, in the device 1, as shown in FIG. 5, the candidate presentation unit 2 presents the user with a system related to HEMS (Home Energy Management System), battery system, and V2H (Vehicle to Home). Whether or not the setting is a candidate.

The so-called HEMS refers to an example of an energy management system that collects information related to the amount of energy used in a house through a network built in a house, and notifies the way in which the energy usage is visualized (visualized). . In particular, the candidate presentation unit 2 presents the candidate HEMS as a power management system that collects information related to power supply and demand in the home and notifies the occupant of the power usage amount in the home via the home terminal.

Further, in general, the amount of power used when the HEMS is installed is set to be reduced by a minimum of 5% as compared with the amount of power used when the HEMS is not provided. Therefore, when there is a HEMS set In this input operation, the present apparatus 1 trials the annual electricity bill based on the premise that the power consumption amount is smaller than the predetermined reduction rate when the HEMS is not provided.

Further, in the present device 1, the candidate presentation unit 2 presents the HEMS as a candidate, and corresponds to a power management system that notifies the amount of power used in the house and the advice information for reducing the amount of power used.

Moreover, the device 1 considers the extent to which the user complies with the above-mentioned advice information and tries to calculate the electricity fee. That is, the trial of the annual electricity bill of the device 1 can reflect the degree of compliance of the user with the advice information notified by the HEMS. Therefore, as shown in FIG. 5, the candidate presentation unit 2 presents a candidate related to the power saving degree on the input screen (marked as "extremely follow the energy saving suggestion", "to a certain extent according to the energy saving suggestion", "not complying with the energy saving" The suggestion"), the power saving degree is equivalent to the compliance with the above suggested information.

The battery system refers to an example of an energy self-sufficient system that stores energy and supplies it to a load (electric load) in a house, and specifically refers to a power self-sending system including a battery (an example of a power storage device). The battery stores power and releases the stored power to a load within the home. Here, the presence or absence of the battery system affects the fluctuation mode of the power supply and demand balance in the home during the day. If it is more specifically explained, it corresponds to the charging and discharging schedule of the battery, and is from the commercial power supply. The period during which the supply of electric power (hereinafter also referred to as system power) is used most or the usage amount of the period may vary. For this reason, the device 1 calculates the annual electricity bill based on the presence or absence of the setting of the battery system.

Further, in the present device 1, as shown in FIG. 5, the candidate presentation unit 2 presents a plurality of candidates for providing a battery system, and specifically, a plurality of battery patterns (indicated as Type 1 and Type 2 in the figure). That is, the device 1 reflects the presence or absence of the battery system. In addition, it also reflects the annual electricity bill for the type of battery used in the system.

The term "V2H" refers to an example of an energy mutual supply system that supplies energy to a vehicle and a house that travels from a house to obtain energy, and specifically refers to an electric car as a vehicle (hereinafter also referred to as an EV). A mutual power supply system that supplies power to each other in cooperation with a house. Here, the presence or absence of the V2H setting affects the fluctuation of the power supply and demand balance in the house. If it is more specifically described, the system power usage amount varies in each period corresponding to the EV utilization form. For this reason, the device 1 calculates the annual electricity bill based on the presence or absence of the setting of the V2H.

In addition, the V2H is not limited to a system in which electric power is supplied to each other between the EV and the house. For example, instead of the EV, the hybrid electric vehicle (PHV), the fuel cell vehicle (FCV), or the small mobility vehicle may be used. A system that supplies electricity to and from the house.

Further, in the present device 1, as shown in FIG. 5, in addition to the HEMS, the battery system, and the V2H, the candidate presentation unit 2 also suggests whether or not the installation of the power generation device that emits electric power in the residential land is a candidate for the house specification. The installation of the power generation device will affect the fluctuation mode of the power supply and demand balance in the house. If it is more specifically described, when the battery system is used in combination, the operation schedule of the battery will be corresponding to the operation of the power generation device. Adjust by scheduling. For this reason, the device 1 calculates the annual electricity bill for the presence or absence of the setting of the power generating device. In more detail, the present device 1 considers whether or not the battery system and the power generating device are used in combination to calculate the annual electricity bill.

Further, in the device 1, as shown in FIG. 5, the candidate presentation unit 2 presents a plurality of candidates as candidates for providing the power generation device, and specifically, presents a solar battery, a fuel cell, and the like as a power generation device. The situation of both is a candidate. That is, the device 1 test In consideration of whether or not to use the battery system and the power generation device in combination, the annual electricity bill is calculated by reflecting the type of the power generation device.

Further, the candidate for the power generating device is not limited to the solar cell or the power generating device, and a power generating device other than the above, for example, a gas engine type power generating device may be suggested as a candidate.

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 program of the personal computer P, and accepts input operations of the user, and stores data indicating the contents of the input operation in the storage unit. 6. Here, the input operation by the user accepted by the operation accepting unit 3 includes an input operation performed by the user in order to indicate the result of the use of the candidate presented by the candidate presentation unit 2.

As an input operation for indicating the result of the use of the candidate presented by the candidate presentation unit 2, for example, an operation of clicking the selection button on the input screen illustrated in FIG. 5 can be cited. However, the input operation is not particularly limited. For example, candidates for each item may be displayed in a drop-down list form, and an operation of selecting from the list may be performed as an input operation.

Moreover, the operation accepting unit 3 accepts an input operation of the power consumption mode performed via the input screen illustrated in FIG. 6 . Here, the so-called power consumption mode refers to an action mode related to the daily user power consumption action in the house, which indicates how much power is consumed in a certain period of time.

The input operation of the power consumption mode will be described. After the input operation is completed via the input screen illustrated in FIG. 5, the user switches the screen displayed on the screen (the button labeled "Next" in FIG. 5). When you click , the input screen of the power consumption mode shown in Fig. 6 is displayed. The user inputs his own power consumption mode via the input screen. If specifically stated, it is entered according to the room category, whether it is entered in each time of day. Use each room in the home.

Referring to Fig. 6, the description will be made. If a column corresponding to the time period in which each room is used by the user is clicked on the input screen, the ○ mark is displayed in the column. Then, the user clicks on the operation completion button (the button labeled "Complete" in Fig. 6) in the screen. The operation accepting unit 3 receives the series of operations as described above, and as a result, generates data indicating the power consumption mode input by the user (hereinafter referred to as power consumption mode data), and stores the power consumption mode data in the storage unit. 6.

Further, regarding the power consumption mode, it is preferable to assume that the power consumption mode differs according to weekdays and holidays, and as shown in FIG. 6, input is performed in accordance with weekdays and holidays. At this time, as shown in FIG. 6, in consideration of the case where the power unit price of the electric power company differs depending on the day of the week, it is more preferable to specify the week equivalent to the weekday and the week equivalent to the holiday.

Further, when there are a plurality of residential occupants in the user, the power consumption mode may be input in accordance with the occupant type.

Further, an item other than the item illustrated in FIG. 6 may be provided on the input screen, for example, a lifestyle information related to power consumption such as an outgoing time (out of time) or an outgoing destination may be input as a power consumption mode. For related projects, the annual electricity bill will be calculated based on this information.

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, and reads the trial calculation data of the annual electricity charge stored in the storage unit 6 and the information indicated by the data as the input information for the trial calculation year. Electricity fee.

Specifically, the trial calculation unit 4 parameterizes the information indicated by the trial calculation data read from the storage unit 6, and specifies the trial rule corresponding to the information, and then obtains the obtained parameter. The number or calculation rule is applied to the established calculation formula and the annual electricity bill is calculated. In addition, the parameterization method or the calculation formula of the annual electricity fee is not particularly limited, and for example, a parameterization method or a calculation formula that has been set by the builder can also be utilized.

In the present device 1, the trial unit 4 calculates the annual electricity bill when the energy-related systems such as the HEMS, the battery system, and the V2H are not introduced, as the reference fee, and calculates the situation in which the energy-related system is introduced (set) and not imported ( The difference in annual electricity bill between the cases of not set).

Further, when a plurality of charge plans are set for the system power unit price, the trial calculation unit 4 can calculate the annual electricity fee in accordance with each charge plan type. Then, the trial calculation unit 4 compares the trial calculation results of the expense plan category, and specifies the cost plan that is the best for the user among the plurality of expense plans. In short, it is the cheapest expense plan that specifies the annual electricity fee. .

The trial result notification unit 5 is realized by the CPU 10, the ROM 11, the RAM 12, the output device 15, and the trial program of the personal computer P, and displays the trial results of the trial unit 4 on a display or the like. As will be described in more detail, as shown in FIG. 1, the trial result notification unit 5 calculates the annual electricity bill, the annual electricity bill when the energy-related system is not introduced into the energy-related system, and the annual electricity bill. The difference is displayed on the same screen. However, the present invention is not limited thereto, and each trial result may be displayed on a different screen.

In addition, when the trial result of the annual electricity bill is displayed on the display, the trial result notification unit 5 displays the conditions before the trial of the annual electricity bill by the trial unit 4, and in short, the HEMS and the battery are displayed together. Whether the system and V2H related settings are available.

Moreover, in the case where a plurality of fee plans are set for the system power unit price At this time, as described above, the trial calculation unit 4 tests the annual electricity bill in accordance with each fee plan type, and specifies the cheapest fee schedule for the annual electricity bill. In this case, as shown in FIG. 1, the trial result notification unit 5 displays the cheapest annual fee schedule specified by the trial unit 4 as an optimal expense plan on the display.

In the present device 1, the trial result notification unit 5 displays only the annual electricity bill for the charge plan type that is calculated by the trial unit 4, and displays the annual electricity bill when the best charge plan is applied to the display. However, the present invention is not limited thereto, and the annual electricity fee for all the fee plan categories calculated by the trial unit 4 may be displayed on the display.

The storage unit 6 is composed of a ROM 11, a RAM 12, and a hard disk 13 of the personal computer P, and stores information necessary for the annual electricity fee trial. Specifically, in the storage unit 6, the data necessary for the annual electricity cost trial calculation is stored in the database, as shown in FIG. 4, in the database (hereinafter referred to as the trial calculation database 20), The house related material 21, the power consumption mode data 22, and the main management data 23 are included.

Hereinafter, each material in the trial calculation database 20 will be specifically described.

The house related material 21 is a data generated by the operation accepting unit 3 by an input operation performed via the input screen illustrated in FIG. 5 . In other words, the house related material 21 corresponds to the first material indicating the result of the user's use of the candidate presented on the input screen by the candidate presentation unit 2. Specifically, as shown in FIG. 4, the house related material 21 includes a plurality of condition data indicating the result of the user's use, and the condition data includes the geographical condition 21A, the power company condition 21B, and the house design condition 21C. The HEMS utilization condition 21D, the power saving interest condition 21E, the battery system use condition 21F, the V2H use condition 21G, and the power generation device use condition 21H.

The geographical condition 21A indicates the adoption of the candidate for the construction of the residential area. Fruit information. The power company condition 21B is information indicating the result of the adoption of the candidate of the power company utilized. The house design condition 21C is information indicating the result of the adoption of the candidate for the house provided by the builder as a commodity (specifically, the product name of the candidate house).

The HEMS utilization condition 21D is a data indicating the result of the adoption of the candidate related to the setting of the HEMS. The power saving degree condition 21E indicates the degree of compliance with the advice information notified by the user for reducing the amount of power used in the home when the HEMS is installed, that is, the result of the user's acceptance of the power saving interest. data of.

The battery system use condition 21F is information indicating the presence or absence of the setting of the battery system and the result of the adoption of the candidate for the battery type used when the battery system is installed. The V2H utilization condition 21G is a data indicating the result of the adoption of the candidate related to the setting of the V2H. The power generation device use condition 21H is information indicating the presence or absence of the installation of the power generation device and the result of the adoption of the candidate for the power generation device when the power generation device is installed.

The power consumption mode data 22 is data generated by the operation accepting unit 3 receiving an input operation of the power consumption mode via the input screen illustrated in FIG. 6 .

The main management data 23 is data associated with various candidates presented on the input screen of FIG. 5, and is installed in the personal computer P by the above-described trial calculation program, and is generated and stored in the storage unit 6. Further, regarding the main management data 23, although the initial (preset) data is stored at the time when the trial program is installed, the user can perform correction by inputting an input screen (not shown), thereby overwriting the main management data 23. Write an update.

When the main management data 23 is described in more detail, as shown in FIG. 4, the area environment data 31A, the unit price data 31B, the house structure data 31C, the reduction rate table 31D, the battery data 31E, and the EV utilization data 31F are included. Power generation equipment data 31G.

The geographical environment data 31A is related to the candidate for the residential construction area (for example, the A area, the B area, and the C area), and is prepared according to the candidate category of each area. The geographical environment data 31A is a statistical data showing the environment of the area (the data of FIG. 7 is associated with the A area) associated with the material 31A.

More specifically, the regional environmental data 31A indicates the change in the average temperature, the solar radiation amount, and the power demand in the region associated with the data 31A in accordance with the date and time category. Here, the average temperature refers to the daily average temperature, and the so-called solar radiation amount refers to the direct solar radiation amount. In the present embodiment, the solar radiation amount of each time in the representative day of each month is used. Further, it is preferable to specify the amount of solar radiation in accordance with, for example, an azimuth class based on the true south. In addition, the power demand refers to the power demand of the commercial power source, and more specifically, the system power demand in the area associated with the regional environment data 31A. In addition, the power demand may be the total power demand of a certain day, or may be the amount of power demand during the period when the power demand in a certain day reaches a peak.

The unit price data 31B is information indicating the unit price of the system power, and is associated with candidates for the power company to be utilized (for example, the power company L, the power company M, and the power company N). That is, in the storage unit 6, information indicating the unit price of the system power set by each power company is stored in accordance with the type of the power company. Further, in the electric power company, there are cases in which a plurality of charge plans related to the system electric power unit price are set, and the unit price data 31B is stored in accordance with the charge plan type with respect to the electric power unit price of the electric power company.

The unit price data 31B of the fee plan category will be described with reference to FIG. 8. For example, when the power company L sets the "normal plan", "time plan", "peak transfer plan", and "dynamic pricing" as the expense plan, For each of the above four expense plans, The unit price data 31B of the electric power company L is stored in the storage unit 6. In addition, the above four fee plans are only one example, and a fee plan other than the above may be set.

Here, the "normal plan" is a charge type fee plan whose power unit price changes in a plurality of stages (three stages in the example shown in FIG. 8) in accordance with the monthly total used power amount. The "time plan" is a time-category type fee plan, and the unit price of the power other than the basic fund is set according to the time period (in the example shown in FIG. 8 is the nighttime period (23 o'clock - 7:00 next day), living time (living time) The amount in the inter-segment interval (10:00 to 17:00) and the other periods in the life time (7:00 to 10:00 and 17:00 to 23:00). The “peak transfer plan” is a seasonal type time category type fee plan. Like the “time plan”, the unit price of electricity other than the basic item varies according to the time category. Moreover, regarding the "peak transfer plan", the unit price of electricity in the time zone (10:00 to 17:00) in the example shown in Fig. 8 differs between summer and summer.

"Dynamic pricing" is a cost plan in which the unit price of electricity changes during the day, and the peak value of the unit price of electricity (labeled as CPP in Fig. 8) is determined according to the power demand for commercial power supply in the applicable day of the peak. . In addition, in the example shown in FIG. 8, the unit price of power differs between the peak value and the non-peak time, and the unit price at the peak (ie, the peak value of the power unit price CPP) corresponds to the magnitude of the power demand, to 3 The phases (eg less than 20GWh, 20GWh~30GWh, over 30GWh) change.

Further, in the case of the present device 1, when the annual electricity charge in the case of using the dynamic pricing as the charge plan is calculated, the trial calculation unit 4 predicts the power demand based on the regional environment data 31A, and specifies the peak value of the power unit price based on the predicted result. CPP. Then, the trial calculation unit 4 takes the peak CPP of the specific power unit price as the input information, and the trial calculation plan is set as Annual electricity bill for dynamic pricing. In addition, the order of the peak CPP of the specific power unit price is 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 data 31B is stored, and the unit price data 31B indicates that the power is returned from the house side to the commercial power source side. The unit price of the hour, in short, is the purchase amount of the power company when purchasing surplus power from the house. In this way, since the unit price of the remaining power is stored, the annual electricity bill determined by the device 1 in response to the system power usage amount (hereinafter also referred to as the purchased power amount) is estimated when the annual electricity bill is calculated for the remaining power. The annual purchase amount determined in accordance with the remaining power purchase amount (hereinafter referred to as the sold electricity amount) is subtracted, and the actual annual electricity fee is calculated, and the actual annual electricity fee is notified to the user as a trial result.

In addition, in the present device 1, the power to be purchased is limited to the electric power generated by the home power generation, and when the generated electric power exceeds the residential electric load, the annual purchase amount corresponding to the remaining electric power is calculated. However, the present invention is not limited to this. For example, in addition to the electric power generated by the home, the surplus electric power including all the self-supplied electric power (the electric power supplied from the power supply device on the residential side) of the electric power supplied from the battery or the EV may be purchased. And calculate the annual purchase amount.

Further, in the present device 1, the purchase unit price of the surplus electric power is a fixed amount, but the present invention is not limited thereto, and may be set to an amount different depending on the presence or absence of the power generating device or the operating state thereof. As an example, the unit price purchased in the case of discharging from the battery during solar power generation may be different from the unit price purchased in the case where the battery is discharged without solar power generation.

Moreover, the setting of the unit price of electricity for each expense plan shown in FIG. 8 is only an example, and The unit price can be set more finely, for example, when the house is a fully electrified house or a battery is provided, and a predetermined condition is satisfied, a certain discount can also be applied. In addition, it is also possible to provide a fuel adjustment fee set to adjust the unit price of electricity in response to changes in the price of fuel such as crude oil or LNG (Liquefied Natural Gas), an environmental tax added to the electricity bill, and the purchase of solar power by the power company. When the surplus power of the renewable energy power generation is charged to the electricity demander (the solar power generation promotion additional amount, the renewable energy power generation promotion additional amount), the electricity fee is calculated based on the information.

The house structure data 31C is related to the candidate of the house product (for example, a product name specifically listed as a candidate), and the house structure data 31C is prepared in accordance with the candidate type of each product. With reference to FIG. 9 , the house structure data 31C includes construction area data indicating attributes related to the home construction area (for example, insulation area division), products indicating the shape and size of the house, building shape data, and indicating windows. The number of windows, etc., and the thermal insulation specifications that indicate the thermal insulation properties of the building materials that make up the house. These data are used to calculate the Q value (residential heat loss coefficient), which is the input information for the trial of the annual electricity.

In addition, the house structure data 31C shown in FIG. 9 is only an example, and may include materials other than the materials shown in FIG. 9 which are information indicating information that affects the Q value.

The reduction rate table 31D is a data associated with a candidate for the degree of power-saving interest of the user, which corresponds to the second data indicating the use form of the HEMS, and the degree of compliance is for the user to reduce the power in the house for the HEMS. The extent to which the recommended information is notified by usage.

Specifically, the reduction rate table 31D is a table data indicating the correspondence relationship between the user's power saving degree and the reduction rate. Here, the so-called reduction rate is expressed as The rate of reduction in the amount of power used as an example of the use form of the HEMS corresponds to a parameter that changes in accordance with the degree of power saving of the user. Referring to Fig. 10, the effect of HEMS is greatly different depending on the degree of power saving of the user (specifically, the resident of the house). Therefore, the reduction in the amount of power usage is set in accordance with the degree of power saving. rate. In more detail, the reduction rate of the device 1 in accordance with the advice information notified by HEMS is set to 15%, and the reduction rate when the recommended information is complied with to some extent is set to 10%, and the non-compliance is not observed. The reduction rate when suggesting information is set to 5%.

In addition, the reduction rate shown in FIG. 10 is only an example, and can be arbitrarily set. Here, as for the effect when the HEMS is introduced, generally, the amount of electric power generated by using an electric device other than the cooking machine or the water heater is reduced by 10%. Therefore, it is preferable to set the reduction as a reference. rate.

The battery data 31E is a data associated with a candidate for a type of battery used when the battery system is installed, and corresponds to the second data indicating the use form of the battery system.

Specifically, the battery data 31E is prepared in accordance with the type of each battery, and the battery data 31E specifies the specifications and operating conditions of the battery. Referring to Fig. 11, the battery data 31E defines the capacity, usable ratio, and operation schedule of the battery. Here, the usable ratio of the battery refers to an index indicating that the remaining amount of stored electricity can be discharged to a few percent with respect to the battery capacity. Further, the battery operation schedule defines the charging time and the discharging time of the battery in one day, and strictly speaking, the charging start time, the charging end time, the discharge start time, and the discharge end time are defined. In addition, the information is only one example for specifying the operation schedule, for example, setting continuous discharge until depletion of discharge power is When this operation schedule is stopped, the discharge end time is not specified, but the remaining amount of the electric storage amount at the end of discharge is specified.

Further, as shown in FIG. 11, the operation schedule is separately defined in the case where the battery system and the power generation device are used in combination, and the battery system is used alone without providing the power generation device. This reflects that the battery operation schedule will vary depending on the presence or absence of the power generation unit. Specifically, for the battery data 31E shown in FIG. 11, the discharge time of the battery when the battery system is used alone is set from 10:00 to 23:00, and the discharge of the solar battery is used in combination. The time is set from 18:00 to 23:00. Further, in the case of using the battery system and the fuel cell in combination, in the period from 7:00 to 23:00, power generation is prioritized, and insufficient power is released from the battery.

In the present device 1, as described above, the battery data 31E indicates all of the battery capacity, the usable ratio, and the operation schedule, but it is only information indicating at least one of the battery capacity and the battery operation schedule. can. Further, the battery data 31E may include information other than the above contents (capacity, usable ratio, and operation schedule), that is, information that affects the annual electricity rate, such as the maximum discharge power amount, the charge power amount, the discharge efficiency, the charging efficiency, and the portion. Load efficiency, standby power, etc.

The EV utilization data 31F corresponds to the second data indicating the use form of the V2H, and specifically specifies the specifications and operating conditions of the EV. Referring to Fig. 12, the EV utilization data 31F indicates data on the capacity of the EV, the travel distance per day, the fuel consumption, and the usage schedule. Here, the use schedule refers to the use time of the EV (strictly speaking, the departure time and the home time), the charging time for the EV (strictly speaking, the charging start time and the charging end time), and the slave EV. Power supply time to supply electricity to the home (strictly speaking, power supply start time and power supply) End time). Further, it is preferable that a plurality of time periods can be set for the above three times.

In the present device 1, the EV utilization data 31F indicates information on the EV usage time, the charging time for the EV, and the total time of the power supply time from the EV to the house. However, the EV utilization data indicates the above three times. At least one time of the data can be. Further, the EV utilization data 31F may include information other than the above contents (capacity, daily travel distance, fuel consumption, and utilization schedule), that is, information that affects the annual electricity rate, for example, whether it is possible to supply power to the house, charge and discharge efficiency, and EV. Use purpose, etc.

In addition, when the EV utilization schedule differs between weekdays and holidays, it is desirable to input them separately according to weekdays and holidays.

As shown in FIGS. 13A and 13B, the power generation device data 31G is associated with a candidate for a type of power generation device (for example, a solar battery or a fuel cell), and the power generation device data 31G is prepared in accordance with various types. Referring to FIGS. 13A and 13B, the power generation device data 31G corresponds to the second data, and the second data indicates the design specifications, installation conditions, operation modes, and the like of the device when the power generation device is installed.

More specifically, the power generation device data 31G related 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 panel installation blocks in each position, and the panel mounting angle. On the other hand, the power generation device data 31G related to the fuel cell defines the power generation output and the operation mode. Here, the operation mode of the fuel cell depends on the type of the fuel cell. For example, a polymer electrolyte fuel cell (PEFC) uses an operation mode that generates electricity corresponding to a heat load, and usually generates electricity between 7:00 and 23:00 every day. Further, the solid oxide fuel cell (SOFC) is in principle operated in a 24-hour power generation mode.

In addition, the above-described content is an example of the information shown in the power generation device data 31G, and may be set to an appropriate content in accordance with the type of the power generation device.

<About the trial processing of this device>

Next, the trial calculation process of the annual electricity bill executed by the device 1 will be described.

For example, the user or the worker uses the personal computer P to perform a predetermined operation (for example, clicking on a predetermined icon on the screen), and the trial program is started, thereby starting the above-described trial processing. In other words, the trial presentation unit 2, the operation accepting unit 3, the trial calculation unit 4, and the trial result notification unit 5 are activated as the trial program is started.

Specifically, in order to input the information necessary for the electricity fee trial calculation by the user, the candidate presentation unit 2 displays the input screen illustrated in FIG. 5 on the display, and presents the candidate and the candidate related to the housing construction area to the user. Candidates related to power companies and candidates related to residential specifications. Then, when the input operation is performed by the user in order to display the result of the candidate presented to the candidate presentation unit 2, the operation accepting unit 3 receives the input operation and generates data indicating the result of the adoption (that is, the house related material 21). ), the data is stored in the storage unit 6. Further, the operation accepting unit 3 receives an input operation of the power consumption mode by the user via the input screen illustrated in FIG. 6, and generates data indicating the input content (that is, the power consumption mode data 22), and stores the data. In the storage unit 6.

Then, the trial calculation unit 4 reads the house related material 21 and the power consumption mode data 22 from the storage unit 6, and tries to calculate the information shown by the data (specifically, the user's adoption result or power consumption mode for each candidate). Corresponding annual electricity bill. Further, in the present device 1, the trial calculation unit 4 reflects the annual electricity bill for the presence or absence of an energy-related system such as HEMS, a battery system, and a V2H.

More specifically, the trial unit 4 reads the HEMS use condition 21D, the battery system use condition 21F, and the V2H use condition 21G of the house related material 21 from the storage unit 6, and specifies the user's setting for each energy-related system. The result of the candidate of the related prompt. Then, when the storage unit 6 stores the data indicating that any of the energy-related systems is installed, the trial unit 4 reads out the data indicating the use form of the energy-related system (specifically, the reduction rate table 31D, the battery data 31E, and the EV). Using the data 31F), the annual electricity fee is calculated by using the utilization form indicated by the data as input information.

If the information indicating that the HEMS is installed (that is, the HEMS use condition 21D) is stored in the storage unit 6, the trial unit 4 reads out the data indicating the user's power saving interest from the storage unit 6 ( That is, the power saving degree condition 21E). Further, the trial calculation unit 4 reads the reduction rate table 31D from the storage unit 6. Then, the trial calculation unit 4 specifies the power saving degree of interest of the user based on the read power saving degree condition 21E, and specifies the reduction rate corresponding to the specified power saving degree based on the reduction rate table 31D. Through the above steps, the trial calculation unit 4 finally calculates the annual electricity bill by using the reduction rate corresponding to the user's power saving degree as input information. Specifically, the commissioning unit 4 reduces the amount of electric power usage by an amount corresponding to the above-described reduction rate, and estimates the annual electricity bill based on the amount of used electric power after the reduction.

Further, when the storage unit 6 stores data indicating that the battery system is installed (that is, the battery system use condition 21F), the verification unit 4 reads out data indicating the specifications and operating conditions of the battery from the storage unit 6 (that is, the battery data). 31E). Then, the trial calculation unit 4 uses the information shown in the battery data 31E as input information to calculate the annual electricity bill. Specifically, for example, when the battery is discharged, the trial calculation unit 4 subtracts the discharge amount from the purchased electricity amount, estimates the purchased electricity amount for each time period in accordance with the battery operation schedule, and estimates the annual electricity charge based on the estimated purchased electricity amount.

Further, the battery data 31E specifies the battery operation schedule when the battery system is used in combination with the power generation device and the battery operation schedule when the battery system is used alone. Therefore, each time the trial calculation unit 4 estimates the annual electricity bill when the battery system is installed, the power generation device use condition 21H of the house-related data 21 is read, and the presence or absence of the installation of the power generation device and the type of the power generator installed are specified.

Further, when the power generation device is specified by the power generation device use condition 21H that has been read, the calculation unit 4 specifies the operation schedule when the power generation device is installed in the battery operation schedule indicated by the battery data 31E. The operation schedule is used as input information to calculate the annual electricity bill. At this time, the commissioning unit 4 further reads out the data indicating the specifications of the power generating device (that is, the power generating device data 31G) from the storage unit 6, and uses the information indicated by the data as the input information to calculate the annual electricity bill.

On the other hand, when the power generation device is not provided based on the read power generation device use condition 21H, the calculation unit 4 specifies the operation schedule when the power generation device is not provided in the battery operation schedule indicated by the battery data 31E. The operation schedule is used as input information to calculate the annual electricity bill.

Further, when the storage unit 6 stores the data indicating that the V2H is provided (that is, the V2H use condition 21G), the trial unit 4 reads out the data indicating the specifications and the operating conditions of the EV from the storage unit 6 (that is, the EV utilization data 31F). ). Then, the trial calculation unit 4 uses the information shown in the EV utilization data 31F as input information to calculate the annual electricity bill. Specifically, for example, when the power is supplied from the EV to the house, the trial unit 4 cancels the amount of power supply from the purchased power amount, and estimates the purchased power amount for each time period in accordance with the use schedule or travel distance of the EV, based on the inferred purchase. Try to calculate the annual electricity bill for electricity.

As described in the above description, in the device 1, the trial calculation unit 4 can reflect as Try to calculate the annual electricity bill for the presence or absence of HEMS, battery systems, and V2H-like energy-related systems.

Further, when the trial calculation unit 4 sets a plurality of charge plans for the system power unit price, the trial plan unit 4 can calculate the annual electricity fee according to the charge plan type.

When the annual calculation of the annual electricity bill is performed, the trial calculation unit 4 reads the power company condition 21B of the house related material 21 from the storage unit 6, and specifies the power company used by the user from among the candidates of the power company. . Then, the trial calculation unit 4 reads out the unit price data 31B corresponding to the specified power company among the data indicating the unit price of the electric power stored in the storage unit 6 (that is, the unit price data 31B). Here, when there are a plurality of read unit price data 31B in accordance with the fee plan type, the trial unit 4 uses the unit price of electric power indicated by each unit price data 31B as input information, and trials the annual electricity bill according to the fee plan type.

Further, when the above-described dynamic pricing is included in the fee plan, the trial calculation unit 4 predicts the power demand in the residential construction area, and specifies the peak CPP of the power unit price based on the predicted result. Then, the trial calculation unit 4 takes the specified peak CPP as input information, and the trial calculation fee plan is set as the annual electricity fee at the time of dynamic pricing.

When the annual calculation of the trial fee plan is set to the annual electricity charge at the time of the dynamic pricing, the trial unit 4 reads the regional condition 21A of the house-related material 21 from the storage unit 6, and specifies the user's relationship with the home construction area. The result of the candidate of the related prompt. Then, the trial calculation unit 4 extracts the geographical environment data 31A corresponding to the designated construction area from the storage unit 6, and reads the statistical data of the power demand in the data. The calculation unit 4 analyzes the statistical data, and estimates the corresponding annual number of days for the power demand range (specifically, less than 20 GWh, 20 GWh to 30 GWh, and more than 30 GWh) corresponding to each peak CPP of the power unit price. The above steps are equivalent to the steps of predicting the power demand in the residential construction area.

Then, the trial calculation unit 4 reads out the unit price data 31B for dynamic pricing from the storage unit 6, and specifies the peak value CPP of the power unit price. Further, the trial calculation unit 4 specifies the number of days in the year in which the peak CPPs are applied based on the number of days in the year estimated by the above-described steps. Finally, the trial calculation unit 4 sets the annual electricity bill at the time of dynamic pricing based on the correspondence between the peak CPP of the power unit price and the applicable number of days.

Further, when the calculation unit 4 calculates the annual electricity rate in accordance with the charge plan type, the trial plan unit 4 specifies the charge plan that is the best for the user among the plurality of charge plans, that is, the cheapest annual charge plan.

When the above-described processing is executed by the trial calculation unit 4, finally, the trial result notification unit 5 displays the trial result of the annual electricity bill on the display. Here, when the annual electricity bill is tried in accordance with the expense plan category, the cheapest annual electricity bill and the cost plan corresponding to the unit price of electricity used in the trial of the annual electricity bill are displayed, in other words, the plan that is the cheapest annual electricity bill. The fee plan specified by the trial department 4 is specified.

In the present device 1, the trial unit 4 calculates the annual electricity bill when the energy-related system is not fully introduced as the reference fee, and calculates the difference between the annual electricity bill when the energy-related system is introduced and when the energy-related system is not introduced. Moreover, the calculation results are also displayed on the display by the trial result notification unit 5.

<Trial calculation sequence of annual electricity bill>

Next, the trial calculation procedure of the annual electricity bill in the trial calculation process will be described. Further, the trial calculation sequence described below corresponds to the flow of the trial calculation process 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 fingers shown in Figure 14. The value. Specifically, in the trial calculation process, the trial calculation unit 4 first calculates the Q value of the house. Then, the trial calculation unit 4 calculates the air conditioning load of the house based on the calculated Q value. Further, the calculation unit 4 calculates the purchased electric power amount of the system power usage amount 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 mode data 22). At this time, when a battery system or a power generating device is installed, when the surplus power is generated, the purchased amount of the remaining power, that is, the sold power is calculated.

Further, the commissioning unit 4 calculates an annual electricity bill based on the calculated purchased electricity amount and the power unit price. Specifically, the trial calculation unit 4 calculates the daily electricity bill, and obtains the monthly electricity bill based on the calculation result. Here, the daily electricity bill can be calculated according to the date type, and the electricity fee for each month's representative day (strictly speaking, the representative day of each week and holiday) can be calculated. Finally, the annual electricity bill is calculated by multiplying the monthly electricity bill by 12 months. In addition, when calculating the purchased electric power and the sold electric power, the trial unit 4 calculates the annual annual electric power purchase amount by subtracting the annual remaining electric power purchase amount calculated based on the sold electric power from the annual electric power calculated based on the purchased electric power.

Further, as described above, in the case where a plurality of charge plans are set for the power unit price, the above-described series of calculations are executed in accordance with the charge plan type, and as a result, the annual electricity charge of the plan type is calculated.

Hereinafter, each step in the trial calculation process will be described.

The trial processing is performed in the order shown in Figs. 15, 16, and 17, and first, the input screen shown in Fig. 5 or Fig. 6 is started to be displayed on the display of the personal computer P (S001). This step S001 corresponds to a step in which the device 1 (more specifically, the candidate presentation unit 2) presents the candidate related to the home construction area, the candidate related to the used power company, and the candidate related to the house specification. . In this step S001, the device 1 prompts with the HEMS, the battery system and the V2H. The presence or absence of the settings related to each system and the presence or absence of the setting of the power generating device are candidates for housing specifications.

Then, after the user performs an input operation via the input screen, the device 1 (more specifically, the operation accepting unit 3) accepts the input operation (S002). As a result, the house related material 21 and the power consumption mode data 22, which are data indicating the content of the input operation, are generated, and the house related material 21 and the power consumption mode data 22 are stored in the storage unit 6 (S003). That is, the above steps S002 and S003 are equivalent to the following steps, which obtain information indicating the result of the user's adoption of the candidate presented in the previous step S001, and information indicating the user's power consumption mode, and the two The data is stored in the storage unit 6.

Thereafter, the apparatus 1 (more specifically, the trial calculation unit 4) reads the house-related data 21 and the power consumption mode data 22 from the storage unit 6, and calculates the annual electricity bill corresponding to the information indicated by the data. That is, a series of steps explained later corresponds to a step in which the apparatus 1 reads out the house-related material 21 indicating the result of the user's use of the candidate for the house specification from the storage unit 6, and calculates the data. The annual electricity fee corresponding to the results of the user shown.

As will be described in more detail, the trial unit 4 of the present device 1 reads the regional condition 21A of the house related material 21 from the storage unit 6 and specifies the residential construction area indicated by the regional condition 21A, and further determines the annual electricity bill. Specifically, the regional environment data 31A corresponding to the area is read from the storage unit 6 (S004). In addition, the trial calculation unit 4 reads the house design condition 21C of the house-related material 21, specifies the house product name indicated by the house design condition 21C, and specifies the house structure data 31C corresponding to the product name from the storage unit 6. (S005).

Then, the trial calculation unit 4 based on the regional environmental information 31A and the residential structure that have been read. The data 31C calculates the Q value of the house from the information shown (S006), and calculates the air conditioning load of the house based on the obtained Q value (S007). After calculating the air-conditioning load, the commissioning unit 4 reads the power consumption mode data 22 from the storage unit 6, and specifies the power consumption mode input by the user, and calculates the air-conditioning load calculated in the previous step S007 based on the power consumption mode. The electrical load of each time of the house (S008). In addition, the electrical load is synonymous with the amount of electricity used.

Next, the trial calculation unit 4 reads out the data relating to the setting of the energy-related system in the house-related data 21 from the storage unit 6, specifically, the HEMS use condition 21D, the battery system use condition 21F, and the V2H use condition 21G, and specify the Information as shown in the information.

Specifically, the trial calculation unit 4 reads the HEMS use condition 21D from the storage unit 6, and specifies the result of the use of the candidate for the user to be presented in association with the presence or absence of the HEMS (S009). When the storage unit 6 stores the HEMS use condition 21D in which the HEMS is installed (YES in S010), the trial unit 4 further reads the power-saving degree condition 21E of the house-related material 21 from the storage unit 6, and specifies the The user's power saving interest (S011) shown in the data. Then, 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 degree of interest (S012). Then, the trial calculation unit 4 corrects the electric load calculated in the previous step S008 so that the electric load is reduced by the amount corresponding to the specific reduction rate (S013), and in the subsequent steps, after the correction is used The electrical load.

On the other hand, when the HEMS use condition 21D indicating that the HEMS is not set is stored in the storage unit 6 (NO in S010), the above-described steps S011, S012, and S013 are omitted, and the steps are advanced. Further, in the case where the HEMS is not provided, there is no step of correcting the power load using the reduction rate, and therefore, in the subsequent steps, the uncorrected power load is used (in other words, the stage calculated in the previous step S008) Power load).

Further, the commissioning unit 4 reads out the battery system use condition 21F from the storage unit 6, and specifies the result of the use of the candidate for the user to be presented in association with the presence or absence of the setting of the battery system (S014). When the storage system 6 stores the battery system use condition 21F in which the battery system is installed (YES in S015), the calculation unit 4 further reads the power generation device use condition 21H of the house related material 21 from the storage unit 6, and specifies The presence or absence of the setting of the power generating device indicated by the data is given (S016).

When the power generation device use condition 21H in which the power generation device is installed is stored in the storage unit 6 (YES in S017), the test unit 4 specifies the type of the power generation device installed based on the data, and then reads out from the storage unit 6. Power generation device data 31G corresponding to this type. Thereby, the commissioning unit 4 specifies the specifications of the power generating device and the like based on the power generating device data 31G (S018). In addition, the information that has been specified is used in the subsequent calculation step (specifically, the step S024 of calculating the purchased power and the sold power at each time).

Further, the trial calculation unit 4 specifies the type of the battery based on the battery system use condition 21F read in the previous step S014, and reads the battery data 31E corresponding to the pattern from the storage unit 6, and specifies the data. The capacity and operation schedule of the battery. In the case where the power generating device is installed (YES in S017), the operation schedule in the case where the power generating device is operated in the battery operating schedule indicated by the battery data 31E is specified (S019). On the other hand, when it is assumed that the power generating device is not provided (NO in S017), the operation schedule in the case of using the battery system alone in the battery operation schedule indicated by the battery data 31E is specified (S020).

The capacity and operation schedule of the battery specified in the above steps S019 and S020 are used in the subsequent calculation steps (specifically, the step S024 of calculating the purchased power and the sold power).

In addition, when the storage unit 6 stores a battery indicating that the battery system is not provided When the system uses the condition 21F (NO in S015), the above steps S016, S017, S018, S019, and S020 are omitted, and the steps are advanced.

Further, the trial calculation unit 4 reads the V2H use condition 21G, and specifies the result of the user's use of the candidate for the presence or absence of the V2H setting (S021). When the V2H use condition 21G indicating that V2H is provided is stored in the storage unit 6 (YES in S022), the trial unit 4 reads the EV use data 31F from the storage unit 6, and specifies the EV indicated by the data 31F. Information such as time or power supply time from the EV to the home (S023). In addition, the information that has been specified is used in the subsequent calculation step (specifically, the step S024 of calculating the purchased power and the sold power at each time).

On the other hand, when the V2H use condition 21G indicating that V2H is not set is stored in the storage unit 6 (NO in S022), the above-described step S023 is omitted, and the process proceeds to the next step.

After the above-described steps are completed, the trial calculation unit 4 is based on the electric load calculated in step S008 or the corrected electric load corrected in step S013, and the utilization form of the energy-related system specified in the above step. The information (specifically, the power generation time or capacity of the power generation device, the capacity of the battery, the operation schedule, the EV utilization time, or the power supply time, etc.), and the system power usage amount at each time, that is, the purchased power amount is calculated (S024). At this time, when the purchased electric power becomes negative, that is, when the electric power generated by the power generating device exceeds the electric load to generate surplus electric power, the remaining electric power purchase amount, that is, the sold electric power is calculated.

Then, the commissioning unit 4 reads out the power company condition 21B of the house-related material 21, specifies the power company indicated by the power company condition 21B, and specifies the unit price data 31B corresponding to the power company, and reads out from the storage unit 6. This data 31B (S025). Then, the trial calculation unit 4 calculates the electric power amount calculated in the previous step S024 and the electric power indicated by the unit price data 31B. The unit price is calculated as the daily electricity fee (S026). Further, the trial calculation unit 4 calculates the monthly electric power amount based on the daily electricity fee obtained as described above, and multiplies the calculation result by 12 months to calculate the annual electricity bill (S027).

Further, as described above, when the purchased electric power and the sold electric power are calculated in the previous step S024, the commissioning unit 4 subtracts the annual remaining electric power purchase amount calculated based on the sold electric power from the annual electric power calculated based on the purchased electric power. Thereby calculating the actual annual electricity bill. Here, the daily purchase amount is obtained based on the calculated selling power amount and the remaining power purchase amount indicated by the unit price data 31B, and the amount is multiplied by 365 days, thereby obtaining the annual remaining power purchase amount.

Here, when the power company specified by the power company condition 21B proposes a plurality of charge plans for the power unit price, the trial calculation unit 4 reads the unit price data 31B according to the charge plan type, and calculates the daily electricity fee according to the charge plan type. And annual electricity bill. That is, when a plurality of unit price data 31B is associated with a power company specified according to the power company condition 21B, the trial calculation unit 4 calculates the annual electricity fee in accordance with the fee plan analogy.

Moreover, when the dynamic pricing is included in the plurality of fee plans provided by the power company, the trial calculation unit 4 specifies the peak CPP of the power unit price in the order shown in FIG. 18, and uses the specified peak CPP as the input information. The trial fee plan is set to the annual electricity bill at the time of dynamic pricing.

More specifically, when the trial fee plan is set to the annual electricity bill at the time of dynamic pricing, the trial calculation unit 4 reads the statistical data of the power demand from the regional environment data 31A read in the previous step S004. For the power demand less than 20GWh, 20GWh~30GWh, and more than 30GWh, the corresponding annual days (S051) are inferred. Then, the trial calculation unit 4 specifies the peak CPP of the power unit price based on the unit price data 31B for dynamic pricing. Then, based on the number of days in the year estimated in the previous step S051, the number of days in which each peak CPP is applied is specified (S052).

In the order described above, the trial calculation unit 4 specifies the correspondence relationship between the peak value CPP of the power unit price and the applicable number of days, and based on the correspondence relationship, the trial fee plan is set as the annual electricity fee at the time of dynamic pricing.

For the entire cost plan, the step S026 of calculating the daily electricity fee described above and the step S027 of calculating the annual electricity bill are repeatedly performed until the trial of the annual electricity bill for all the fee plans is completed (S028). Then, if the trial calculation of the annual electricity bill is completed for all the fee plans, the trial calculation unit 4 specifies the cheapest fee plan, which is the cheapest annual fee for the annual electricity fee in the plurality of expense plans (S029).

When one of the series of steps described above is completed, the trial result notification unit 5 displays the optimal fee plan specified in the previous step S029 and the annual electricity fee calculated under the fee plan on the display (S030). At this time, the trial result notification unit 5 displays the presence or absence of the setting of the energy-related system which is a precondition for the trial of the annual electricity bill, and also displays the annual electricity bill when the energy-related system is not fully introduced, and the electricity bill of the year and the cheapest calculation. The difference between the annual electricity bill (ie, the annual electricity bill calculated by the above-mentioned series of steps).

<About the effectiveness of this embodiment>

When the effectiveness of the present embodiment is described, the first point is to consider the presence or absence of the setting of each energy-related system of the HEMS, the battery system, and the V2H, and to calculate the utilization mode in consideration of the use of the energy-related system. Annual electricity bill in the home. In this way, the result of trialing the annual electricity bill, reflecting the presence or absence of the energy-related system, allows the annual electricity bill to be accurately calculated.

The second point is: whenever the annual electricity bill for HEMS is set, Consider the user's compliance with the recommended information prompted by the HEMS, that is, the user's power saving interest, and try to calculate the annual electricity bill. Here, if the user's power saving degree is changed, the amount of electric power used in the house will change, and the annual electricity bill will also change accordingly. Therefore, as long as the configuration of the present embodiment, the user's power saving degree can be used. It is reflected in the trial of the annual electricity bill, so that the annual electricity bill can be calculated with higher accuracy.

The third point is to calculate the annual electricity bill by reflecting the presence or absence of the setting of the battery system and the capacity or charging and discharging time of the battery when the battery system is installed. Further, in the case of using the battery system and the power generating device in combination, the charging and discharging time of the battery varies depending on the power generation time of the power generating device. However, as long as the configuration of the present embodiment is adopted, the accuracy can be accurately obtained. Try to calculate the electricity bill when using the power storage device and the power generation device.

The fourth point is to calculate the annual electricity bill by reflecting the presence or absence of the V2H setting, the EV utilization time when the V2H is set, the charging time for the EV, and the power supply time from the EV to the house.

The fifth point is that when a plurality of expense plans are set for the system power unit price, the electricity charges are trial-calculated for each expense plan, and the trial results are compared between the expense plans, thereby specifying the optimal cost plan. Thereby, the presence or absence of the setting of the energy-related system can be considered, the annual electricity amount can be estimated according to the type of the fee plan, and the user can be notified of the best cost plan corresponding to the presence or absence of the setting of each energy-related system.

Moreover, even if the dynamic plan is included in the expense plan, as long as the configuration of the present embodiment, the peak value of the power unit price can be specified based on the statistics of the power demand, and the annual electricity fee under the dynamic pricing can be calculated based on the peak value. .

<Other Embodiments>

In the above embodiment, the trial calculation device and the trial calculation method of the present invention have been described as an example. However, the above embodiments are for making the invention easy to understand, and do not limit the present invention. The present invention may be modified or modified without departing from the spirit and scope of the invention, and the invention may of course include equivalents thereof.

In the above embodiment, the trial electricity fee is used as the energy usage fee, but the present invention can be applied even when the other energy usage fee such as the gas fee, the fuel oil fee, the hydrogen fuel fee, or the like is calculated. Further, the electricity fee, the gas fee, and the like may be totaled, and the total value may be notified.

Further, in the above-described embodiment, the annual electricity bill is estimated and the user is notified, but the present invention is not limited thereto, and any of the daily electricity bill, the weekly electricity bill, the monthly electricity bill, and the electricity bill for several years may be tried. Electricity fee.

Further, in the above embodiment, the presence or absence of the setting of the HEMS is suggested as a candidate for the house specification, and the HEMS notifies the amount of power used in the house and the advice information for reducing the amount of power used. Further, in the above embodiment, when there is an input operation of setting the HEMS, the electricity fee is calculated in consideration of the degree of compliance of the user with the advice information of the HEMS. Specifically, the reduction rate corresponding to the degree of compliance with the advice information is specified, and the specific reduction rate is used as the input information for the electricity fee trial calculation.

On the other hand, in HEMS, there is an HEMS that can automatically control the operating state of an electric machine in a house in accordance with the balance of power supply and demand in a house. When the HEMS of this type is prompted as a candidate and there is an input operation for setting the HEMS, it is also possible to reflect whether or not the automatic control is performed on the electrical machine to calculate the electricity fee. Specifically, the reduction rate corresponding to the execution of the automatic control of the electric machine can be specified, and the specific reduction rate can be used as the input information for the electricity fee trial calculation.

If the description is easier to understand, the following three modes may be suggested as candidates for the HEMS utilization mode when the HEMS is set, and the above three modes refer to a mode in which only the power supply and demand in the house is visualized and notified. A mode for notifying the power supply and demand in the house and notifying the energy saving advice information; and notifying the power supply and demand and energy saving advice information in the house and automatically controlling the electrical equipment in the house. Here, each mode corresponds to the reduction rate, and when the user selects one mode from the above modes, the reduction rate corresponding to the selected mode is specified. In such a configuration, the reduction rate may be specified based on the usage mode selected by the user, and the annual rate of electricity may be calculated by using the reduction rate as input information.

Further, as shown in FIG. 19, the reduction rate can also be set for each specific power saving method. Specifically, the table data (hereinafter referred to as another reduction rate table) indicating the reduction rate corresponding to the specific power saving method may be stored in addition to or in place of the reduction rate table 31D, which is the following information. The above information represents the reduction rate corresponding to the compliance with the HEMS recommendation information. When the other reduction rate table is described with reference to FIG. 19, in the table, the main electric equipment in the house or the power saving method related to the standby power is defined as the reduction when the air conditioner is used as the heating device in the normal time. Rate, and the rate of reduction when a machine other than an air conditioner such as a gas furnace or an oil furnace is used as a heating machine in a normal time. Further, each time the electricity bill is calculated, whether or not the above-described respective power saving methods are input on the input screen, the reduction rate corresponding to the power saving method to be used is specified, and the specific reduction rate is used as the input information to calculate the annual electricity bill.

As described above, if the reduction rate is set for the specific power saving method, the electricity rate corresponding to whether or not the power saving method is employed can be calculated.

Moreover, in the above embodiment, the user is prompted with the HEMS and the battery system. And whether or not V2H is a candidate for residential specifications. Further, in the above-described embodiment, in the above-described embodiment, the annual electricity bill is calculated by reflecting the presence or absence of each of the HEMS, the battery system, and the V2H, and the usage pattern of the system related to the installed system. However, it is also possible to suggest the presence or absence of the setting of at least one of the HEMS, the battery system, and the V2H, rather than all of the systems. That is, the annual electricity bill can be calculated by reflecting the presence or absence of the setting of one or both of the HEMS, the battery system, and the V2H, and the usage pattern of the installed system.

Further, in the above embodiment, in addition to presenting the presence of the HEMS, the battery system, and the V2H to the user, the presence or absence of the installation of the power generating device is also suggested as a candidate for the house specification. However, the item presented to the user as a candidate for the house specification is not limited to the above, and if it is a system that affects the amount of power used in the house, the presence or absence of the setting of the system may be presented as a candidate, reflecting the The annual electricity bill is calculated by the presence or absence of the system and the usage pattern of the system when it is set. Further, as a system that affects the amount of electric power used in the house, for example, a cogeneration system or a waste heat recovery system can be cited.

In addition to the above items, the house specifications that affect the amount of electric power used in the house may be, for example, a cooking method or a heating method, and the user may be presented with a corresponding item as a candidate. For example, as for the cooking method, "gas cooking", "electric cooking", and "gas electric power" are used as candidates. For the heating method, "gas heating", "fuel oil heating", "electric heating", and "gas" are mentioned. As a candidate, it can also reflect the annual electricity bill for the results of each candidate.

Further, in the above embodiment, the user's input operation related to the power consumption mode is accepted every time the device 1 calculates the annual electricity bill. Further, in the above-described embodiment, the usage time of each room in the house is input as the power consumption mode, but the present invention is not limited thereto, and for example, The respective usage time of the electrical machines in the room can be entered for each room. Alternatively, you can choose to display a plurality of lifestyle-speaking statements (such as "daytime at home" or "night only at home"), from which users choose a lifestyle that is consistent with their lifestyle. Thereafter, the power consumption mode registered in advance for the selected lifestyle is automatically set.

Further, in addition to the power consumption mode, a gas consumption mode indicating the gas usage amount of each time period or a hot water supply mode indicating the hot water supply amount of each time period may be accepted as input information, and the annual information is calculated by reflecting the input information.

Further, in the above embodiment, the annual electricity bill is calculated by reflecting the presence or absence of the setting of the energy-related system such as the HEMS, the battery system, and the V2H, and the user is notified of the trial result. Further, in the above-described embodiment, the annual electricity bill when the energy-related system is not provided at all, and the difference between the annual electricity bill when the energy-related system is installed and the annual electricity bill when the energy-related system is not installed are notified to the user. However, the trial result (calculation result) notified to the user is not limited to the above, for example, when each energy-related system is provided, the introduction cost or the running cost (including the maintenance cost) of the system may be calculated and notified. Trial results.

Further, in the above embodiment, the item input by the user every time the annual electricity bill is trial-calculated is an item presented on the input screen shown in FIG. 5, specifically, the user's home construction area, electric power company, and house specification. The results of the respective candidates and the power consumption mode of the user. However, these items are only an example, and may include contents other than the above items as input items. For example, the user may personally input items related to the use forms of the HEMS, the battery system, and the V2H via the input screen.

1‧‧‧This device (trial device)

2‧‧‧Candidate Tips

3‧‧‧Operational Acceptance Department

4‧‧‧Trial calculation department

5‧‧‧ Trial calculation results notification department

6‧‧‧ Storage Department

Claims (8)

A trial calculation device for calculating a usage fee of an energy source used in a building, comprising: a candidate presentation unit for presenting a candidate related to the specification of the building; and a storage unit for storing the first data The first data indicates the result of the user's use of the candidate presented by the candidate presentation unit, and the trial unit reads the first data from the storage unit, and the trial uses the above-described adoption of the first data. The result corresponds to the usage fee; the candidate presentation unit presents the candidate for the presence of at least one of the energy management system, the energy self-sufficiency system, and the energy mutual supply system, and the energy management system notifies the above-mentioned building Energy usage, the energy self-sufficient system stores energy and supplies energy to a load in the building, the energy mutual supply system is mutually compatible with the vehicle traveling from the building to obtain energy Energy source; when the first data indicating that at least one of the systems is installed is stored in the storage unit The unit reads the spreadsheet storage unit stored in the at least one represented by the use of the second aspect of the information systems, the use-form shown in the second information as the input information and the above-described fee spreadsheet. The trial calculation device of the first aspect of the invention, wherein the energy management system is a power management system that notifies a power usage amount in the building and a recommendation information for reducing the power usage amount; the candidate presentation unit prompts Whether or not the setting of the power management system is the candidate; and the storage unit stores the first data indicating that the power management system is installed When the test unit reads the second data indicating a parameter that changes according to the degree of compliance of the user with respect to the recommended information, the test unit calculates the use of the parameter indicated by the second data as input information. fee. The trial calculation device of claim 1, wherein the energy self-sufficient system includes a power self-sufficient system having a power storage device that stores electric power and releases the stored power to a load in the building; the candidate The presentation unit prompts whether or not the power supply system is installed as the candidate; and when the storage unit stores the first data indicating that the power supply system is installed, the test unit reads out the power storage device from the storage unit. The second data of the at least one of the capacity and the operation schedule of the power storage device is used as the input information to calculate the usage fee. The trial calculation device of claim 3, wherein the candidate presentation unit further indicates whether or not the installation of the power generation device is the candidate, wherein the power generation device emits power in the building site; and the storage portion stores the representation And the second data of the operation schedule in the case where the power generation device is installed; and the first data indicating that the energy supply system is installed and the first data indicating that the power generation device is installed are stored in the storage unit; The commissioning unit reads the second data indicating the operation schedule from the storage unit, and calculates the usage fee by using the operation schedule when the power generation device is provided as the second data as input information. The trial calculation device of claim 1, wherein the energy mutual supply system is an electric vehicle as the vehicle and the above-mentioned construction The electric power mutual supply system in which the electric power is supplied to each other; the candidate presenting unit indicates whether or not the electric power mutual supply system is installed as the candidate; and the storage unit stores the electric power mutual supply system In the first data, the trial unit reads the second material from the storage unit, and calculates the usage fee by using at least one time indicated by the second data as input information, and the second data indicates use of the electric vehicle. The time, at least one of a charging time of the electric vehicle and a time period of supplying electric power from the electric vehicle to the building. The trial calculation device according to any one of claims 2 to 5, wherein the storage unit stores unit price data indicating a unit price of electric power supplied from a commercial power source in accordance with a plurality of charge plan categories set for the unit price The trial calculation unit reads the unit price data according to the fee plan category from the storage unit, and uses the unit price indicated by the unit price data as input information, and calculates the usage fee according to the fee plan category. The trial calculation device of claim 6, wherein the fee plan includes dynamic pricing, wherein the unit price changes in a day, and the peak value of the unit price corresponds to the peak application date. The power storage unit determines the power demand; the storage unit stores statistical data related to the power demand; and the trial calculation unit predicts the power demand based on the statistical data read from the storage unit, and predicts the power demand based on the power demand. And the above-mentioned peak value is specified, and the above-mentioned peak value is specified as input information, and the above-mentioned cost plan is set as the above-mentioned dynamic pricing. fee. A trial calculation method uses a computer to calculate the usage fee of the energy used in the building, and is characterized in that the computer has the following steps: the computer prompts the user with a candidate related to the specification of the building; and the computer is from the computer The storage unit reads the first data indicating the result of the use of the candidate by the user, and calculates the usage fee corresponding to the adoption result indicated by the first data; and in the step of presenting the candidate to the user, The above-mentioned computer indicates the presence or absence of the setting of at least one of the energy usage notification system, the energy self-sufficiency system, and the energy mutual supply system, and the energy usage notification system notifies the energy usage amount in the building, the energy self-sufficiency The system stores energy and supplies energy to a load in the building, the energy mutual supply system is configured to supply energy between the vehicle traveling from the building and the building; and when the storage unit is in the storage unit Storing the first data indicating that at least one of the above systems is installed In the step of calculating the usage fee, the computer reads the second data stored in the storage unit indicating the usage form of the at least one system, and uses the usage pattern indicated by the second data as input information to calculate the above-mentioned usage fee.