JP2014195346A - Trial calculation device trial calculation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reflect a user's intension or sense of values in performing trial calculation of an electric charge in the case that a plurality of distributed power sources including a photovoltaic power generation facility whose generated power can be bought are installed.SOLUTION: A trial calculation device performs trial calculation of an electric charge in the case that both of a photovoltaic power generation facility and storage battery are adopted as facilities to be introduced, while setting a trial calculation mode of either of a profitability preferential mode for performing the trial calculation of the electric charge in the case that each facility is operated so as to make a buyer buy a surplus of power generated by the photovoltaic power generation facility, and an environment preferential mode for performing the trial calculation of the electric charge in the case that each facility is operated so as to reduce consumption of power supplied from a commercial power source. The trial calculation device calculates: a profit amount obtained by making the surplus of power generated by the photovoltaic power generation facility be bought, when the profitability preferential mode is set; and an electric charge in the case that the surplus power is stored in the storage battery and is supplied to a power load by performing discharge at the time except power surplus time, when the environment preferential mode is set.

Description

  The present invention relates to a trial calculation device and a trial calculation method for calculating a usage charge of energy used in a building, and in particular, a charge according to the handling of surplus power when the power generation amount exceeds the supply amount from a commercial power source. The present invention relates to a trial calculation device and a trial calculation method capable of trial calculation.

  Since the Great East Japan Earthquake, public interest in energy supply, especially power supply, has increased. Under such circumstances, an increasing number of houses and buildings are installed with distributed power sources such as private power generation facilities. On the other hand, it is indispensable for customers considering the introduction of distributed power sources to see how much the utility costs such as electricity bills can be reduced by installing the equipment.

  In addition, there is a distributed power source in which surplus power can be purchased by a purchaser like a solar power generation facility. When considering the introduction of a distributed power source such as a solar power generation facility, the amount of profit obtained by purchasing surplus power is important information in addition to the degree of reduction in electricity charges. Under such a background, in recent years, a technique has been developed for estimating the amount of power generation and the purchase of surplus power (hereinafter also referred to as power sales amount) when a solar power generation facility is introduced (see, for example, Patent Document 1).

  The technique disclosed in Patent Document 1 is a trial calculation of the amount of power generation and the amount of power sales in consideration of the influence of the surrounding environment of the planned installation site before installing the solar power generation facility. By using the technology disclosed in Patent Document 1, customers who are considering the introduction of solar power generation facilities can calculate the amount of profits obtained by purchasing surplus power and the monthly amount from the results of trial calculations of power generation and sales. It is possible to know the net electricity price obtained by subtracting the profit from the electricity price.

JP 2011-229313 A

  On the other hand, a power storage device such as a storage battery exists in the distributed power source, and there may be a case where both the power storage device and the solar power generation facility are connected to each other. In such a case, when surplus occurs in the power generated by the solar power generation facility, it is possible to have the surplus power purchased by a purchaser, or to temporarily store the surplus power in the power storage device. In addition, it is possible to discharge and use it in a time zone where it is impossible to cover the power load with only the generated power. Thus, how to handle the surplus power when surplus power is generated varies depending on the customer's intention and values.

  On the other hand, since the technique disclosed in Patent Document 1 cannot flexibly cope with the above-described variations in handling surplus power, it is not possible to obtain a trial calculation result that reflects customer intentions and values. There is a fear.

  In addition, in the case where a plurality of distributed power sources including a solar power generation device are provided, the unit price for purchasing surplus power may change depending on the operation mode of each distributed power source. For example, if the power storage device discharges during power generation of the solar power generation facility in a case where both the power storage device and the solar power generation facility are connected, the surplus of generated power, that is, the amount of power that can be purchased increases. In some cases, the purchase unit price may be set lower than usual. From the above circumstances, when obtaining the amount of profit obtained by purchasing surplus power, it is necessary to consider that the unit price of purchase varies depending on the operation mode of each distributed power source.

Therefore, the present invention has been made in view of the above problems, and the object of the present invention is to provide a case where a plurality of power-related facilities including a power generation facility capable of purchasing surplus power is provided. An object of the present invention is to provide a trial calculation device and a trial calculation method capable of making a trial calculation in consideration of a user's intention and values when calculating an energy usage fee.
Another object of the present invention is to calculate the amount of profit obtained by purchasing surplus power, considering that the unit price of surplus power varies depending on the operation mode of the power supply facility.

  According to the trial calculation device of the present invention, the above-described problem is a trial calculation device that estimates the usage fee of energy used in a building, and a candidate presentation unit that presents a candidate of equipment to be installed in the building to a user; A storage unit storing a user's adoption result for the candidate presented by the candidate presentation unit, a power load fluctuation pattern in the building, and a unit price of power supplied from a commercial power source, and the storage unit Based on the adoption result and the fluctuation pattern of the power load, the consumption amount of power supplied from the commercial power source is calculated, and the usage fee is estimated from the calculation result of the consumption amount and the unit price stored in the storage unit. And a mode setting unit for setting an execution mode of trial calculation processing by the trial calculation unit, and the candidate presentation unit generates power to supply power to the power load. Presenting the candidate including at least a first facility whose power is to be purchased by a purchaser and a second facility for storing power and supplying discharge power to the power load, the first facility and the first When the adoption result indicating that both of the two facilities are introduced into the building is stored in the storage unit, the mode setting unit may purchase at least a part of the generated power of the first facility. The economic priority mode for calculating the usage fee when the both are operated so that the both are operated, and the usage fee when the both are operated so as to reduce the consumption of power supplied from the commercial power supply. Of the environmental priority mode to be calculated, if any mode is set as the execution mode, and the economic priority mode is set as the execution mode, the calculation unit The amount of profit obtained by causing the purchaser to purchase the generated power when the power supplied by operating the both exceeds the power load is calculated, and the environmental priority mode is the execution mode. Is set as, when the trial calculation unit stores part or all of the generated power at the time of the power surplus in the second equipment, discharges at a time other than the time of the power surplus and supplies the power load It is solved by calculating the electricity bill.

  According to the above trial calculation device, as a mode for calculating the energy usage fee, an economic priority mode in which the surplus power generated is purchased and the surplus power is stored and used in a different time zone. By doing so, there is prepared an environment priority mode that is calculated under the condition that the consumption of power supplied from the commercial power supply is reduced. The user can select a mode that matches his intention and values from the above two trial calculation modes. In other words, with the trial calculation device of the present invention, the user's intention and value when calculating the energy usage fee when a plurality of power-related facilities including a power generation facility capable of purchasing surplus power is provided. It is possible to estimate by reflecting the view.

In the trial calculation apparatus, the candidate presenting unit may include the first facility, the second facility, and a third facility in which power generated to supply power to the power load is excluded from the purchase target. And when the economic priority mode is set as the execution mode, the mode setting unit is configured to output the second equipment and the second equipment during a period when the first equipment is generating power. A first economic priority mode for calculating the profit when at least one of the three facilities supplies power to the power load; and the second facility during a period when the first facility is generating power. And the second economy priority mode for calculating the profit amount when none of the third equipment supplies power to the power load, and setting any mode as the execution mode age It may be.
With the above configuration, when surplus is generated in the generated power of the first facility, an operation mode in which power is supplied from the second facility so as to increase the surplus, that is, an operation in which a so-called push-up effect is obtained (hereinafter referred to as “uplift effect”). For each of the operation modes (hereinafter referred to as non-push-up operation) in which the power supply from the second facility is stopped and the push-up effect is refrained during power generation of the first facility (hereinafter referred to as non-push-up operation). The amount can be calculated.

In the trial calculation device, the storage unit further stores a first unit price and a second unit price that are different from each other as a purchase unit price when the purchaser is allowed to purchase the generated power of the first facility, When the first economic priority mode is set as the execution mode, the trial calculation unit calculates the profit amount based on the first unit price that is lower of the first unit price and the second unit price, When the second economic priority mode is set as the execution mode, the trial calculation unit calculates the profit amount based on the higher second unit price out of the first unit price and the second unit price. It is good.
In the above configuration, in each mode of the first economic priority mode and the second economic priority mode, reflecting that the purchase unit price of surplus power is different between the push-up operation and the non-push-up operation. The surplus power purchase amount is calculated by applying the unit price. That is, with the above configuration, it is possible to calculate the purchase amount of surplus power in consideration of the fact that the purchase price of surplus power varies depending on the operation mode of each of the first facility and the second facility.

In the trial calculation device, the candidate presentation unit includes a solar power generation facility corresponding to the first facility, a power storage device corresponding to the second facility, a fuel cell device corresponding to the third facility, When the adoption result indicating that the storage device capable of limiting the discharge during power generation of the photovoltaic power generation facility is introduced into the building is stored in the storage unit The mode setting unit may set the execution mode from among the environmental priority mode, the first economic priority mode, and the second economic priority mode.
In the above configuration, the trial calculation mode can be selected from the first economic priority mode and the second economic priority mode only when the user adopts a power storage device that can perform non-push-up operation as an installation facility. It becomes. That is, according to the above configuration, the execution mode of the trial calculation process is appropriately set according to the user's adoption result for each facility.

In addition, according to the trial calculation method of the present invention, the above-described problem is a trial calculation method in which a computer calculates a use fee of energy used in a building, and the computer selects a candidate for equipment to be introduced into the building. A process of presenting to the user, a user adoption result for the presented candidate, a power load fluctuation pattern in the building, a process of storing a unit price of power supplied from a commercial power source, and the stored adoption result and Based on the fluctuation pattern of the power load, a consumption amount of power supplied from the commercial power source is calculated, a process of calculating the usage fee from the calculation result of the consumption amount and the stored unit price, and the usage fee In the process of setting the execution mode of the process to be estimated and presenting the candidate, the computer Presenting the candidate including at least a first facility in which power generated to supply power is a purchase target of a purchaser and a second facility that stores power and supplies discharge power to the power load. In the process of setting the execution mode when the adoption result indicating that both the first facility and the second facility are introduced into the building is stored, the computer generates power of the first facility. An economic priority mode for calculating the usage fee when both are operated so that the purchaser purchases at least a part of the power, and the consumption of power supplied from the commercial power supply is reduced. One of the environmental priority modes in which the usage fee is calculated when both are operated is set as the execution mode, and the economical priority mode is set. Is set as the execution mode, in the process of calculating the usage fee, the computer buys the generated power at the time of surplus power when the power supplied by operating both exceeds the power load. In the process of calculating the usage fee when the environmental benefit priority mode is set as the execution mode, the computer calculates the generated power at the time of the surplus power when calculating the profit amount obtained by allowing a trader to buy This is solved by calculating an electricity bill when a part or all of the electricity is stored in the second facility, discharged at a time other than the time when the power is surplus, and supplied to the power load.
According to the above method, the user's intention and values are reflected when calculating the energy usage fee when multiple power-related facilities including power generation facilities that can purchase surplus power are provided. Can be calculated.

  According to the present invention, when calculating the energy usage fee when a plurality of power-related facilities including a power generation facility capable of purchasing surplus power is provided, the user's intention and values are reflected in the estimation. Is possible. In addition, according to the present invention, it is possible to calculate the purchase amount of surplus power in consideration of the fact that the purchase unit price of surplus power varies depending on the operation mode of each facility.

It is the figure which showed the conceptual diagram of the trial calculation apparatus which concerns on one Embodiment of this invention. It is the figure which showed an example of the electric power load fluctuation pattern. It is the figure which showed an example of the electric power supply-and-demand pattern at the time of introduce | transducing solar power generation equipment. It is the figure which showed an example of the electric power supply and demand pattern at the time of introduce | transducing a storage battery. It is the figure which showed an example of the electric power supply and demand pattern at the time of introduce | transducing a polymer electrolyte fuel cell apparatus. It is the figure which showed an example of the electric power supply-and-demand pattern at the time of introduce | transducing a solid oxide type fuel cell apparatus. It is the figure which showed the hardware constitutions of the trial calculation apparatus which concerns on one Embodiment of this invention. It is the figure which showed the structure of the trial calculation apparatus which concerns on one Embodiment of this invention from the functional surface. It is the figure which showed an example of the input screen of information required for trial calculation. It is the figure which showed an example of the information memorize | stored in the trial calculation apparatus which concerns on one Embodiment of this invention. It is the figure which showed an example of the input screen regarding electric power load. It is the figure which showed an example of the information regarding the specification of solar power generation equipment. It is the figure which showed an example of the information regarding the specification of a storage battery. It is the figure which showed an example of the information regarding the specification of a fuel cell apparatus. It is the figure which showed an example of the power unit price. It is the figure which showed an example of the purchase unit price of surplus electric power. It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 1). It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 2). It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 3). It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 4). It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 5). It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 6). It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 7). It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 8). It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 9). It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 10). It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 11). It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 12). It is the figure which showed an example of the electric power supply-and-demand pattern anticipated (the 13). It is the figure which showed the flow about the trial calculation processes, such as an electricity bill (the 1). It is the figure which showed the flow about trial calculation processes, such as an electricity bill (the 2). It is the figure which showed the flow about the trial calculation processes, such as an electricity bill (the 3). It is the figure which showed the flow about the trial calculation processes, such as an electricity bill (the 4).

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

<Outline of trial calculation apparatus according to this embodiment>
First, the trial calculation apparatus according to the present embodiment will be outlined.
A trial calculation device (hereinafter, this device) 1 according to the present embodiment is used as, for example, a sales support tool for a housing company, and as shown in FIG. The result is presented to the user. Here, the user is a person who uses the result of the trial calculation of electricity charges. Specifically, the customer who is considering the purchase or renovation of a house or the introduction of a distributed power source such as a solar power generation facility is considered. Customers.

  When the function of the present apparatus 1 is outlined, the consumption amount of power supplied from a commercial power source (hereinafter also referred to as system power), that is, the amount of power purchased is calculated based on the fluctuation pattern of the power load as shown in FIG. Electricity charges are estimated using the calculation results and the power unit price (corresponding to the unit price). Here, “electric power load” refers to the power demand that accompanies the energy consumption behavior of the user who is a resident of the house. Specifically, it is a power consuming device (excluding distributed power supplies) in the house. It is the power consumption of.

  The power load fluctuation pattern illustrated in FIG. 2 is an example when a heat pump type hot water supply system for home use is installed, and is an example of a power load fluctuation pattern. The apparatus 1 stores a plurality of power load fluctuation patterns including the pattern illustrated in FIG. 2, and allows the user to select one power load fluctuation pattern when calculating the electricity bill. And this apparatus 1 calculates the amount of electric power purchase based on the electric power load fluctuation pattern selected by the user, and also calculates an electric bill further.

The present apparatus 1 has the following three additional functions in addition to the functions described above.
The first additional function is that, when a plurality of rate plans are set for the power unit price, an optimal rate plan is specified based on the above power load variation pattern, and the user is notified of the rate plan.

More specifically, the apparatus 1 stores a plurality of power unit prices in association with the rate plan. For example, in the case shown in FIG. 15A, the unit price of the normal plan, the unit price of the time plan, and the unit price of the seasonal plan And the unit price of the peak shift plan are stored.
The “normal plan” is a charge-based charge plan, and the unit price of electricity changes in multiple stages (three stages in the example shown in FIG. 15A) according to the total amount of power used during the month. The “time plan” is a charge plan of the electric lamp type according to time zone, and the unit price of electric power excluding the basic rate is different for each time zone. In the example shown in FIG. 15A, from 23:00 to next 7 o'clock, 10:00 to 17:00, A separate unit price is set for each of the time zones of 10:00 and 17: 00-23: 00. The “seasonal time plan” is a light type charge plan by season and by time zone. Like the “time plan”, the unit price of electric power excluding the basic rate differs depending on the time zone, and the predetermined time zone (shown in FIG. 15A). In the example, the unit price in the daytime zone (10:00 to 17:00) is different between the summer and other seasons. The “Peak Shift Plan” is based on a time-based electric light-type rate plan, and the unit price varies during peak hours, off-peak hours, and night hours, and the unit price during off-peak hours depends on the total power consumption. Set to stage. In the “Peak Shift Plan”, the peak unit price is set to about twice the off-peak unit price (strictly, the unit price at the second stage), and the night unit price is about 1 / of the off-peak unit price. It is set to 3 times.

And this apparatus 1 estimates the electric charge for every charge plan, after specifying the transition of the electric power load in a house from the electric power load fluctuation pattern which the user selected, more strictly, the power consumption per day. As a result, the device 1 identifies the most advantageous rate plan for the user, that is, the rate plan with the lowest electricity rate, and outputs the result to a display or the like to notify the user.
The value of the power unit price and the type of the charge plan shown in FIG. 15A are merely examples, and the value of the power unit price and the like can be arbitrarily set. The charge plan is also illustrated in FIG. 15A. The type is not limited.

The second additional function is that it is possible to estimate the electricity rate assuming that the distributed power source is installed in the premises of the house.
More specifically, the amount of grid power consumption, that is, the amount of power purchased, differs depending on whether the distributed load is present or not even if the variation pattern of the power load is the same. For example, when a photovoltaic power generation facility is provided as a distributed power source, as shown in FIG. 3, the daytime power load is covered by the generated power of the facility. In addition, when a storage battery is provided as a distributed power source, for example, as shown in FIG. 4, by discharging the power stored at night during the day, the amount of power purchased at night is larger than the power load by the amount of power stored. During the day, the amount of power purchased will be less than the power load by the amount of discharge.

  Further, when a fuel cell device is provided as a distributed power source, the amount of power purchased is reduced from the power load by the amount of power generated by the device. In addition, the fuel cell device includes a polymer polymer fuel cell (hereinafter referred to as PEFC) and a solid oxide fuel cell (hereinafter referred to as SOFC), which are shown in FIG. As shown in FIG. 6, the periods during which power generation is possible differ between the two.

  In consideration of the installation of the distributed power source as described above, the present apparatus 1 allows the user to specify whether or not to employ each of the solar cell equipment, the storage battery, and the fuel cell when calculating the electricity bill. And this apparatus 1 is calculating the electricity purchase amount according to the adoption result of each installation, and is supposed to calculate an electricity bill from the said calculation result.

The third additional function is that it is possible to estimate the electricity bill in accordance with how to handle surplus power when the power supplied from the distributed power source exceeds the power load.
Specifically, when the power supplied from the distributed power source including the solar power generation equipment exceeds the power load, the surplus of the power generation of the solar power generation equipment is stored in the storage battery, and the time other than the time of the power surplus Can be discharged and supplied to the power load. In such a case, the amount of power purchased is reduced and the environmental load is reduced.

  On the other hand, the surplus of the generated power of the solar power generation facility at the time of surplus power can be purchased by a purchaser without storing it in a storage battery or the like. Here, the “buying company” is a company that purchases surplus power from each house at a predetermined unit price, and specifically, an electric power company or the like. And the profit of the amount according to the purchase amount, ie, the amount of electric power sales, can be acquired by making a purchaser purchase the surplus of the generated electric power of a solar power generation facility.

  As described above, surplus power can be handled by purchasing from a purchaser with an emphasis on economic efficiency, and temporarily stored in storage batteries, etc. with an emphasis on the environment, and used at times other than when there is surplus power. It is possible to do. Also, if the way of handling surplus power is different, the electricity bill will change accordingly. Therefore, the present apparatus 1 provides an economic priority mode that prioritizes economy and an environmental priority mode that prioritizes environmentality as trial calculation modes for trial calculation of electricity charges. Here, the “trial calculation mode” corresponds to a trial calculation execution mode.

  And when calculating the electricity bill when the photovoltaic power generation device and the storage battery are introduced as the distributed power source, the device 1 determines which of the two trial calculation modes is applied in the calculation of the electricity bill. Let the user specify. At this time, when the environmental priority mode is specified, the present apparatus 1 discharges the surplus power generated by the photovoltaic power generation facility at the time of surplus power at a time other than the power surplus time and supplies it to the power load. Estimate electricity charges. On the other hand, when the economic priority mode is designated, the device 1 calculates the amount of power when the purchaser buys the surplus of the generated power of the solar power generation facility at the time of surplus power, that is, the amount of power sold. Then, based on the calculated amount of power sold and the unit price for purchasing surplus power, a profit amount (hereinafter referred to as “purchase amount”) obtained by purchasing surplus power is calculated.

  As described above, in the present apparatus 1, the user designates how to handle surplus power generated by the photovoltaic power generation facility, and the electricity charge corresponding to the designated result is estimated. As a result, the user can acquire a trial calculation result that reflects his intention and values. That is, the present apparatus 1 can make a trial calculation reflecting the user's intention and values when trial calculation of the electricity bill when a plurality of distributed power sources including a photovoltaic power generation facility is provided.

  By the way, the purchase unit price of surplus power may differ depending on the operation mode of each distributed power source when a storage battery or a fuel cell device is adopted as the introduction facility in addition to the photovoltaic power generation facility. Specifically, in a normal operation mode, specifically, an operation mode in which only the generated power from the facility is supplied to the power load during the period in which the photovoltaic power generation facility generates power, The normal purchase unit price shown in FIG. 15B (specifically, 42 yen / kWh) is applied. The unit price corresponds to the second unit price, and is hereinafter also referred to as a normal unit price.

  On the other hand, when the storage battery is discharged or the fuel cell device generates power during the power generation period of the solar power generation facility, for example, as shown in FIG. 21, it can be purchased as surplus power out of the power generated by the solar power generation facility. There is an effect that the amount is increased, that is, a so-called push-up effect. In an operation mode in which such a push-up effect is expected, that is, under the push-up operation, as shown in FIG. 15B, a purchase unit price (specifically, 34 yen / kWh) set lower than the normal unit price. Applies. The unit price corresponds to the first unit price, and is hereinafter also referred to as a pushed-up unit price.

  On the other hand, even when a storage battery is adopted as an introduction device in addition to the solar power generation facility, the storage battery is capable of limiting discharge during the power generation period of the solar power generation facility. For example, as shown in FIG. 22, the push-up effect is not achieved. A normal unit price (42 yen / kWh) is applied in such an operation mode, that is, a non-push-up operation.

  As described above, in the present embodiment, the unit price for purchasing surplus power differs between the push-up operation and the non-push-up operation. Therefore, when the economic priority mode is designated, the device 1 identifies which operation mode is the push-up operation or the non-push-up operation, and applies the purchase unit price corresponding to the identified operation mode. Estimate the above purchase amount.

That is, in the present embodiment, as the economy priority mode, the first economy priority mode for calculating the purchase price under the push-up operation and the second economy priority mode for calculating the purchase price under the non-push-up operation. And are prepared. That is, in this embodiment, it is possible to estimate the profit amount obtained by purchasing surplus power for each of the push-up operation and the non-push-up operation, and further, surplus between the push-up operation and the non-push-up operation. The purchase amount can be calculated in consideration of the fact that the power purchase unit price is different.
In addition, the value of each purchase unit price during the push-up operation and the non-push-up operation is not limited to the value shown in FIG. 15B and can be arbitrarily set.

<About the configuration of this device>
Next, the configuration of the apparatus 1 will be described. As shown in FIG. 1, the present apparatus 1 is composed of a computer, specifically, a personal computer P owned by a salesperson (hereinafter referred to as a staff) of a housing company. The program is stored. In other words, the trial calculation method according to the present embodiment is a trial calculation of the electricity bill using a computer. Specifically, the program recorded in the computer is read and executed, so that These processes are executed by the computer.

  Here, the hardware configuration of the personal computer P will be described with reference to FIG. 7. The personal computer P includes a CPU 10, a ROM 11, a RAM 12, a hard disk 13, an input device 14, and an output device 15. CPU10 reads the program memorize | stored in ROM11 and the hard disk 13, and performs various processes, and the program which estimates the electricity bill is contained in it.

The RAM 12 stores data necessary for the CPU 10 to execute various processes. The data includes data indicating user input information received via the input device 14. Yes.
The hard disk 13 is one of auxiliary storage devices, in which various programs required for calculating the electricity bill and various data necessary for executing the programs are stored. The auxiliary storage device may be a medium other than the hard disk 13, for example, a medium that can be attached to and detached from the personal computer P such as an SSD (Solid State Drive) or a flash memory.

The input device 14 includes a pointing device such as a keyboard, a mouse, or a touch panel, and accepts an input operation performed through the input screen illustrated in FIG. 9 in order to input information necessary for the estimation of the electricity bill. The input operation may be performed directly by the user, or may be performed on behalf of the user after the staff hears the user's opinion.
The input device 14 also accepts user operations performed to rewrite data stored in the hard disk 13.
The output device 15 includes an input screen for accepting an input operation, a display that displays a trial calculation result, and a printer that prints the trial calculation result on a medium such as paper.

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

The configuration of the apparatus 1 described above will be described again from the functional aspect.
The function which this apparatus 1 has is a plurality of processing units included in this apparatus 1 shown in FIG. 8, specifically, a candidate presentation unit 2, an operation reception unit 3, a trial calculation unit 4, a trial calculation result notification unit 5, and a storage unit. 6 and the mode setting unit 7. These processing units are realized by the CPU 10 of the personal computer P, the ROM 11, the RAM 12, the hard disk 13, the input device 14, the output device 15, and a program for calculating the electricity bill.

The candidate presenting unit 2 performs a process of presenting a user with a candidate for a distributed power source as a facility to be introduced into a house when calculating an electricity bill. If it demonstrates concretely, the candidate presentation part 2 will display the input screen shown in FIG. 9 on a display. Such an input screen presents a photovoltaic power generation facility, a storage battery, and a fuel cell device as candidates for a distributed power source. And a user will input the presence or absence of adoption of each distributed power supply through an input screen.
Here, the solar power generation facility corresponds to the first facility that is generated by the power supplier to supply power to the power load, and is specifically installed on the roof of a house. It is a solar cell. The storage battery is an example of a power storage device, and corresponds to a second facility that stores power and supplies discharge power to a power load. The fuel cell device corresponds to a third facility in which the electric power generated to supply electric power to the electric power load is excluded from the purchase target of the purchaser, and constitutes a cogeneration system in the present embodiment.

  Moreover, about a storage battery, it is possible to select the model of the storage battery to employ | adopt from a list box. More specifically, in the present embodiment, selectable storage battery types include those that can execute non-push-up operation and those that cannot execute non-push-up operation. A storage battery capable of performing a non-push-up operation is a storage battery that can limit discharge during power generation of the solar power generation facility when used in combination with the solar power generation facility.

In addition, when the fuel cell device is employed, either the PEFC type or the SOFC type is selected.
Note that the distributed power source candidates illustrated in FIG. 9 are merely examples, and candidates other than those illustrated in FIG. 9 may be presented. For example, power storage devices are not limited to storage batteries, but candidates for electric vehicles, plug-in hybrid vehicles, fuel cell vehicles, or small mobility vehicles that can mutually supply power with homes are suggested. It may be done. Furthermore, a power storage system that combines the vehicle-type power storage device and the storage battery may be used as the installation facility.

  The operation accepting unit 3 executes processing for accepting an input operation performed through the input screen. Then, the operation reception unit 3 generates data indicating the contents of the input operation and stores the data in the storage unit 6. Here, the input operation accepted by the operation accepting unit 3 includes an operation for indicating a user's adoption result for the distributed power source presented as a candidate by the candidate presenting unit 2.

Moreover, the operation reception part 3 receives the user's designation | designated operation with respect to a power load fluctuation pattern. More specifically, in this embodiment, the user designates a power load fluctuation pattern when calculating the electricity bill. For this reason, a plurality of power load variation pattern candidates are displayed on the input screen (indicated as “pattern 1” and “pattern 2” in FIG. 9), and the user matches his / her own lifestyle among the candidates. Specify a pattern. At this time, the user can designate a pattern to be used for the electric charge trial calculation from among a plurality of candidates registered as typical examples of the power load fluctuation pattern.
In FIG. 9, only “Pattern 1” and “Pattern 2” are displayed as typical examples of power load fluctuation patterns for the sake of illustration, but in reality, more typical patterns can be selected. Is done. In addition to using an identification number such as “Pattern 1” or the like as a name for specifying the type of pattern, it is also possible to use a character string representing the characteristics of each pattern (for example, “at-home type at night”). Good.

  Furthermore, in this embodiment, it is possible to register the power load fluctuation pattern uniquely input by the user as an original pattern and designate the original pattern. As an input method of the original power load fluctuation pattern, for example, it can be performed by receiving it on the input screen shown in FIG. More specifically, the user inputs the usage time of each room in the house through the input screen shown in FIG. 11, and when all the inputs are completed, an operation completion button (“Done” in FIG. 11) is displayed. Button). Thereby, the operation reception part 3 receives input operation regarding an original electric power load fluctuation pattern, and registers the electric power load fluctuation pattern corresponding to the input content. Regarding the registered power load fluctuation pattern, data indicating the pattern is stored in the storage unit 6, and when the user designates the power load fluctuation pattern thereafter, the “original” in FIG. By turning on a radio button with a letter attached, it is possible to specify a registered user original power load variation pattern.

  Note that it is desirable that the power consumption pattern can be input separately on weekdays and holidays as shown in FIG. At this time, as shown in FIG. 11, it is more preferable that the day of the week corresponding to a weekday and the day of the week corresponding to a holiday can be designated. In addition, when there are a plurality of residents in the house including the user, a power consumption pattern may be input for each resident. In addition, items other than the items shown in FIG. 11, for example, fields for entering lifestyle information related to power consumption such as going out time (absence time) and whereabouts are provided, and more detailed matters regarding power load fluctuation patterns are provided. It is desirable to be able to input.

Furthermore, the operation reception unit 3 receives a user's designation operation for the trial calculation mode. More specifically, as described above, there are two types of trial calculation modes, the economic priority mode and the environmental priority mode. The economic priority mode is further divided into a first economic priority mode and a second economic priority mode. These trial calculation modes are displayed so as to be selectable on the input screen shown in FIG. 9. For example, when the environmental priority mode is designated, the user presses the “environment priority” radio button in FIG. To specify economic priority mode, press the "Economic priority" radio button. In addition, when the first economic priority mode is designated among the economic priority modes, the user presses the radio button “with push-up” in FIG. 9, and when the second economic priority mode is designated, “no push-up” is designated. Press the radio button.
And operation reception part 3 will memorize the specification result in storage part 6, if a user's specification operation to trial calculation mode is received.

  The trial calculation unit 4 reads various information stored in the storage unit 6 and executes a process (trial calculation process) for trial calculation of an electricity bill using the read information as input information. More specifically, the storage unit 6 stores the input operation information received by the operation receiving unit 3, that is, the user adoption result for the distributed power source candidate presented on the input screen, and the user designation for the power load fluctuation pattern. The result is stored. The storage unit 6 stores a plurality of power load fluctuation patterns as shown in FIG. The trial calculation unit 4 reads a pattern designated by the user from among the power load fluctuation patterns stored in the storage unit 6. And the trial calculation part 4 specifies the electric power load in a house from the read electric power load fluctuation pattern, and utilizes the specified electric power load as input information for an electricity bill calculation.

  On the other hand, as shown in FIG. 10, the storage unit 6 stores information related to the specifications of the photovoltaic power generation facility, the storage battery, and the fuel cell. More specifically, as shown in FIG. 12, the specifications of the photovoltaic power generation facility include the capacity of the solar panel constituting the photovoltaic power generation apparatus, the shape of the roof on which the panel is installed, the number of panels installed for each direction, and This is information such as the panel mounting angle. Note that the information on the specifications of the solar power generation equipment is not limited to the items illustrated in FIG. 12, and the information on the structure and performance of the solar power generation equipment is not limited to the items shown in FIG. Items other than the illustrated items may be included.

About the specification of a storage battery, as shown in FIG. 13, information, such as a capacity | capacitance of a storage battery, a useable ratio, and an operation schedule, is memorize | stored. Here, the usable rate of the storage battery is an index indicating how much the remaining amount of stored electricity can be discharged with respect to the capacity of the storage battery. Moreover, the operation schedule of the storage battery defines the charge time and discharge time of the storage battery in one day, and strictly, defines the charge start time, charge end time, discharge start time, and discharge end time. . In addition, when setting an operation schedule to continue discharging until the remaining amount of stored electricity reaches a predetermined amount, specify the remaining amount of stored electricity at the time of ending discharge instead of specifying the discharge end time. become.
Further, information on the storage battery specifications is prepared for each type of storage battery as shown in FIG. 10, and among those storage batteries that can perform non-push-up operation, as shown in FIG. An operation schedule for push-up operation is defined. On the other hand, for storage batteries that are not capable of non-push-up operation, only the operation schedule for push-up operation is defined. The information related to the storage battery specifications is not limited to the items shown in FIG. 13, and information other than the items shown in FIG. 13 is included in the information related to the structure and performance of the storage battery as long as it is an item related to the estimation of the electricity bill. May be included.

  By the way, as another power storage device, for example, when an electric vehicle is included in a candidate for a distributed power source, data indicating the capacity of the electric vehicle, the mileage per day, fuel consumption, and usage schedule is stored as information related to the specification of the electric vehicle. It is good to have. Here, the usage schedule is a usage time of the electric vehicle, a charging time for the electric vehicle, and a power supply time for supplying electric power from the electric vehicle to the house. Note that a plurality of time zones may be set for each of these times.

As for the specifications of the fuel cell device, as shown in FIG. 14, information such as a power generation output, an operation pattern, and operation conditions is stored. Note that the fuel cell device presented as a candidate in the present embodiment constitutes a cogeneration system as described above, and heat generated by power generation of the fuel cell device is recovered as heat for hot water supply. The For this reason, the output of the fuel cell device differs depending on the heat load in the house (strictly speaking, the amount of hot water used). For example, the fuel cell device installed in a house where the amount of hot water used is large is relatively large. A fuel cell device installed in a house that operates with an output and uses less hot water will operate with a relatively small output.
Note that the information regarding the specifications of the fuel cell device is not limited to the items illustrated in FIG. 14, and as long as it is an item related to the calculation of the electricity charge among the information regarding the structure and performance of the fuel cell device, it is illustrated in FIG. 14. Items other than items may be included.

  And the trial calculation part 4 reads the thing regarding the distributed power supply employ | adopted as an introduction apparatus to a house among the information regarding the specification of the distributed power supply demonstrated so far from the memory | storage part 6, and specifies the supply-and-demand pattern of the electric power in a house. . If demonstrating it concretely, the trial calculation part 4 will specify the power supply capability of the distributed power supply employ | adopted as an introduction apparatus, an operation schedule, etc., while specifying the power load in a house from the power load fluctuation pattern designated by the user. For example, when a solar power generation facility is employed, the trial calculation unit 4 reads out information related to the specifications of the solar power generation facility and local environment information from the storage unit 6, and generates power during the power generation period and the same period of the solar power generation facility. Is identified. In addition, local environment information is the content which influences the generated electric power of a solar power generation facility among the information regarding the surrounding environment of the area where a solar power generation facility is installed, for example, the information regarding the solar radiation amount of the said area.

Moreover, when a storage battery is employ | adopted, the trial calculation part 4 reads the information regarding the specification of a storage battery from the memory | storage part 6. FIG. And the trial calculation part 4 determines the electrical storage time and discharge time of a storage battery based on the information read from the memory | storage part 6, and the electric power load specified from the electric power load fluctuation pattern.
Similarly, when the fuel cell device is adopted, the trial calculation unit 4 reads out information related to the specifications of the fuel cell device from the storage unit 6, and based on the information and the power load specified from the power load fluctuation pattern, the fuel cell device The power generation period of the device and the power generation amount during the same period are determined. In this embodiment, since the fuel cell device is used for cogeneration, it is desirable to consider the hot water supply load in the house when determining the power generation period and power generation amount of the fuel cell device.

After specifying the power supply / demand pattern in the house as described above, the trial calculation unit 4 calculates the power consumption of the system power, that is, the power purchase amount, and further calculates the electricity charge from the calculation result of the power purchase amount and the power unit price. . Here, the power unit price is stored in the storage unit 6 as shown in FIG. 10, and is read out when the trial calculation unit 4 calculates the electricity bill. Further, as described above, in this embodiment, a plurality of power unit prices are stored for each rate plan. Then, the trial calculation unit 4 sequentially reads out the power unit price for each rate plan from the storage unit 6 and calculates the electricity rate for each rate plan.
The information on the charge plan and the power unit price can be obtained from, for example, the power company that is the owner of the commercial power source. In addition, other information related to unit price of electricity includes fuel adjustment costs, environmental taxes, costs imposed on power consumers when surplus power from solar power generation and renewable energy power generation is purchased (additional promotion of solar power generation) Gold and renewable energy power generation promotion additional money) may be stored together in the storage unit 6.

  In addition, when the power supplied by the distributed power source exceeds the power load in the specified power supply and demand pattern, that is, the generated power of the solar power generation facility when there is a surplus of power, as described above, it is subject to purchase by the purchaser. ing. For this reason, when there is a surplus time in the specified power supply and demand pattern, the trial calculation unit 4 calculates the purchase amount when the surplus power generated by the photovoltaic power generation facility at the time of surplus power is purchased, that is, the power sale amount. The purchase amount is calculated from the calculation result and the purchase unit price. Here, the purchase unit price is stored in the storage unit 6 as shown in FIG. 10, and is read when the trial calculation unit 4 calculates the purchase amount.

  In addition, as described above, in this embodiment, two types of purchase unit prices, specifically, a normal unit price and a pushed-up unit price are stored, and the trial calculation unit 4 applies according to the operation mode of the distributed power supply. The purchase price is calculated by changing the purchase unit price. Specifically, in the present embodiment, the normal unit price is applied when the solar power generation facility is employed alone, and the boosted unit price is applied when the storage battery and the fuel cell device are used together with the solar power generation facility. To do. Also, in the case where the distributed power source connected to the photovoltaic power generation equipment is only the storage battery, the unit price at the time of boosting is applied under the condition that the storage battery performs the push-up operation, and the normal condition is provided under the condition that the storage battery performs the non-push-up operation Apply unit price.

  The trial calculation result notifying unit 5 executes a process of displaying the electricity bill calculated by the trial calculation unit 4 and the purchase amount of surplus power on a display or the like and notifying the user. More specifically, as shown in FIG. 1, the trial calculation result notifying unit 5 displays the annual electricity bill as the trial calculation result of the electricity bill, and displays the annual purchase amount as the calculation result of the purchase amount. However, the display content illustrated in FIG. 1 is merely an example. Electricity charges (purchase amount) per day, electricity charges (purchase amount) per week, electricity charges (purchase amount) per month A trial calculation result may be displayed.

  Further, as shown in FIG. 1, the trial calculation result notifying unit 5 displays a charge plan (indicated as “optimum charge plan” in FIG. 1) in which the electricity charge is the cheapest in addition to the purchase of electricity charges and surplus power. Notify the user. Furthermore, the trial calculation result notifying unit 5 is presented as a precondition, specifically, a candidate applied when the trial calculation unit 4 makes a trial calculation of the purchase price of the electric bill and surplus power in addition to the trial calculation result and the optimum rate plan. The acceptance / rejection of each distributed power source, the power load fluctuation pattern specified by the user, and the trial calculation mode are also displayed. These pieces of information may be displayed on the same screen as shown in FIG. 1, or each piece of information may be displayed on separate screens.

The mode setting unit 7 executes a process for setting the trial calculation mode. The mode setting unit 7 reads the designated trial calculation mode from the storage unit 6 among the user input items received by the operation reception unit 3 and reads the mode from the trial calculation mode. Set as.
The setting of the trial calculation mode will be described in more detail. In this embodiment, the trial calculation mode is appropriately set according to the result of user adoption for each distributed power source. Specifically, as a condition for selecting the trial calculation mode from the two modes of the environmental priority mode and the economic priority mode, it is necessary that at least a photovoltaic power generation facility and a storage battery are adopted as the introduction device. is there. In other words, when the adoption result indicating that both the photovoltaic power generation facility and the storage battery are introduced into the house is stored in the storage unit 6, the mode setting unit 7 includes the environmental priority mode and the economic priority mode. One mode designated by the user is set as the trial calculation mode.

  On the other hand, when removing at least one of the photovoltaic power generation facility and the storage battery from the introduction device, for easy understanding, when adopting any one of the photovoltaic power generation facility, the storage battery and the fuel cell device as the introduction facility, Alternatively, when only the photovoltaic power generation facility and the fuel cell device are employed as the introduction facility, the trial calculation mode is automatically set on the side of the present apparatus 1. For example, when only the photovoltaic power generation facility is adopted as the introduction device, the economy priority mode (strictly, the second economy priority mode) is automatically selected.

  Further, the economy priority mode is divided into a first economy priority mode in which the unit price at the time of push-up is applied and a second economy priority mode in which the normal unit price is applied. In order to select the trial calculation mode from these two economic priority modes, it is necessary that the solar power generation facility and the storage battery are employed as the introduction facility, and the storage battery is capable of non-push-up operation. In other words, when the adoption result indicating that the storage battery capable of limiting the discharge during power generation of the photovoltaic power generation facility is introduced into the house is stored in the storage unit 6, the mode setting unit 7 has the environmental priority. A trial calculation mode is set from the mode, the first economic priority mode, and the second economic priority mode.

  On the other hand, when the storage battery employed together with the photovoltaic power generation equipment is not capable of non-push-up operation, the mode setting unit 7 sets the trial calculation mode from among the environmental priority mode and the first economic priority mode. (In other words, the second economic priority mode cannot be selected). In this embodiment, when all of the photovoltaic power generation equipment, the storage battery, and the fuel cell device are adopted as the installation equipment, the mode setting unit 7 sets regardless of whether or not the storage battery is capable of non-push-up operation. The trial calculation mode to be performed is limited to the environmental priority mode and the first economic priority mode, and the second economic priority mode is not set.

Next, the trial calculation process by the trial calculation unit 4 will be described.
When the trial calculation mode set by the mode setting unit 7 is the economy priority mode, the trial calculation unit 4 identifies the power load in the house from the power load fluctuation pattern designated by the user. On the other hand, when the economic priority mode is set as the trial calculation mode, since at least the photovoltaic power generation equipment is adopted as the introduction device, the trial calculation section 4 includes information on the specifications of the solar power generation equipment and the regional environment information. Is read from the storage unit 6, and the power generation period of the photovoltaic power generation facility and the power generation amount (that is, the power generation pattern) during the same period are specified.

  And the trial calculation part 4 specifies the electric power demand pattern in a house from an electric power load fluctuation pattern and an electric power generation pattern, and estimates an electric bill from the said electric power demand pattern. More specifically, the trial calculation unit 4 calculates the daily system power consumption in the house from the specified power demand pattern, and calculates the electricity bill from the calculation result and the power unit price for each rate plan. To do. Here, the power demand pattern indicates the fluctuation tendency of the power purchase amount in one day.

Furthermore, the trial calculation unit 4 calculates the purchase amount when the purchaser purchases the surplus when the generated power exceeds the power load. The calculation method of the purchase amount will be described with reference to FIG. 3. The trial calculation unit 4 specifies the power supply and demand pattern in the house, specifies the surplus power at the time of power surplus and at the same time, and calculates the total amount of the surplus power. . Here, the total amount of surplus power corresponds to the area of the region marked with symbol A in FIG. Then, the trial calculation unit 4 calculates a purchase amount from the calculated surplus power amount and the purchase unit price stored in the storage unit 6.
In the present embodiment, the purchase amount is calculated on the assumption that all surplus power generated by the photovoltaic power generation facility is purchased.

  By the way, as a case where the electricity charge is estimated under the economic priority mode, a case where the electricity charge when a storage battery or a fuel cell device is adopted as the introduction equipment together with the solar power generation equipment can be considered. In order to explain more specifically, a case in which a photovoltaic power generation facility and a fuel cell device are interconnected will be described as an example with reference to FIGS. 16 and 17. FIG. 16 is a diagram when a PEFC type fuel cell device is used, and FIG. 17 is a diagram when a SOFC type fuel cell device is used.

  In the case where the surplus power is purchased by the interconnection operation between the photovoltaic power generation facility and the fuel cell device, the trial calculation unit 4 reads out information on the specifications of the fuel cell device from the storage unit 6 and then generates the photovoltaic power generation. A power supply pattern obtained by adding the power generation pattern of the fuel cell device to the power generation pattern of the facility is determined. The power supply pattern indicates a change tendency of the amount of power supplied by each distributed power source adopted as the introduction facility. Of the power supply patterns, the power generation pattern of the photovoltaic power generation facility is illustrated by a thick broken line in FIGS. 16 and 17, and the power generation pattern of the fuel cell device is illustrated by a double line. A pattern obtained by synthesizing these two power generation patterns, that is, a fluctuation pattern of the total power supply amount is shown by a thick solid line.

  In this case, the trial calculation unit 4 determines the power generation pattern from the specifications of the fuel cell device when determining the power supply pattern. At this time, the power surplus time becomes longer and the surplus power amount increases. Determine the power generation pattern. That is, in the case where the photovoltaic power generation facility and the fuel cell device are connected, it is assumed that the fuel cell device performs a push-up operation. Under such an operation mode, the trial calculation unit 4 makes a trial calculation of the electricity bill and purchases surplus power. Calculate the amount. The purchase amount of surplus power can be obtained by the same procedure as described above.

  More specifically, in FIG. 16 and FIG. 17, the surplus power amount represented by the area of the region with the symbol A is calculated, and the purchase amount is calculated from the calculated surplus power amount and the purchase unit price. Here, the unit price at the time of push-up is applied as the purchase unit price applied in the case where the photovoltaic power generation facility and the fuel cell device are linked. That is, the trial calculation mode when trial calculation of the electricity bill in the case where the photovoltaic power generation facility and the fuel cell device are linked is automatically set to the first economy priority mode.

Further, as another example of calculating the electricity rate under the economical priority mode, a case where the photovoltaic power generation facility and the storage battery are linked will be described as an example with reference to FIGS. 18 and 19. FIGS. 18 and 19 are diagrams when the photovoltaic power generation facility and the storage battery are connected to each other. FIG. 18 shows a case where the storage battery executes a push-up operation. FIG. 19 shows a case where the storage battery executes a non-push-up operation. Shows when to do.
In cases where surplus power is purchased through interconnection operation between the photovoltaic power generation equipment and the storage battery, the trial calculation unit 4 provides information on the storage battery specifications in addition to the information on the specifications of the solar power generation equipment and the regional environment information. Further reading from the storage unit 6 to determine each of the power demand pattern and the power supply pattern in the house. The power demand pattern is illustrated by a thin solid line in FIGS. 18 and 19, and the power supply pattern is illustrated by a thick solid line in FIGS. 18 and 19.

  Here, the power supply / demand pattern in this case differs depending on the operation mode of the storage battery as shown in FIGS. Specifically, in the case shown in FIG. 18, the daytime when the photovoltaic power generation facility generates the power stored by the storage battery at midnight (the amount of power corresponding to the area of the region indicated by symbol B in FIG. 18). To discharge. As a result, the daytime power load is reduced by the discharge amount of the storage battery (the amount corresponding to the area of the region indicated by symbol C in FIG. 18), and the surplus power is increased accordingly. That is, in the case illustrated in FIG. 18, the storage battery performs a push-up operation, and the trial calculation unit 4 calculates the electricity bill under such an operation mode and calculates the purchase amount of surplus power. If it demonstrates concretely, the trial calculation part 4 will calculate the surplus electric energy represented by the area of the area | region which attached | subjected the symbol A in FIG. 18, and will calculate the purchase amount from the calculated surplus electric energy and purchase unit price. The purchase unit price applied in this case is naturally the unit price at the time of push-up.

  In contrast, in the case shown in FIG. 19, the time when the photovoltaic power generation facility does not generate the power stored by the storage battery at midnight (the amount of power corresponding to the area of the region indicated by symbol B in FIG. 19) ( In the case shown in FIG. 19, discharge occurs from 18:00 to 23:00. That is, in the case shown in FIG. 19, the storage battery is configured to perform a non-push-up operation, and the trial calculation unit 4 calculates the electricity bill under such an operation mode and calculates the purchase amount of surplus power. Specifically, the trial calculation unit 4 calculates surplus power represented by the area of the region marked with the symbol A in FIG. 19, and calculates the purchase amount from the calculated surplus power amount and the purchase unit price. The purchase unit price applied in this case is the normal unit price.

  On the other hand, when calculating the power purchase amount from the power demand pattern, the trial calculation unit 4 adds the storage amount of the storage battery (the amount corresponding to the area of the region indicated by symbol B in FIGS. 18 and 19) to the net power load. Thus, the amount of electricity purchased is calculated by subtracting the amount of discharge of the storage battery (the amount corresponding to the area of the region indicated by symbol C in FIGS. 18 and 19). Then, the trial calculation unit 4 makes a trial calculation of the electricity rate from the calculated power purchase amount and power unit price.

Further, as a third case of calculating the electricity rate under the economic priority mode, a case where the photovoltaic power generation facility, the storage battery, and the fuel cell device are connected will be described as an example with reference to FIGS. To do. FIGS. 20 to 22 are diagrams when the photovoltaic power generation facility, the storage battery, and the fuel cell device are all connected. FIG. 20 shows a case where the discharge from the storage battery is preferentially used, and FIG. FIG. 22 shows a case where the fuel cell device is operated at the rated output.
20 to 22, the power demand pattern (power load) is illustrated by a thin broken line, and the actual power purchase amount is illustrated by a thin solid line. On the other hand, among the power supply patterns, the power generation pattern of the photovoltaic power generation facility is illustrated by a thick broken line, and the power generation pattern of the fuel cell device is illustrated by a double line, and these two power generation patterns are synthesized. The pattern is shown in bold solid lines.

  In the case where the surplus power is purchased through the interconnection operation of the photovoltaic power generation equipment, storage battery, and fuel cell device, the trial calculation unit 4 reads out information on the specifications of each distributed power source from the storage unit 6 and then houses Each of the power demand pattern and the power supply pattern is determined. Here, the power demand pattern and the power supply pattern differ depending on which of the storage battery and the fuel cell device is used preferentially and how the preferentially used device is operated.

  For example, in the case of FIG. 20, the storage battery is preferentially used, and the power stored in the storage battery is discharged during the night in the daytime. Such a form is effective in a house where the amount of hot water used is relatively small, or when the heat load is small and the amount of power generated by the fuel cell is small, such as in summer. The case of FIG. 21 preferentially uses the fuel cell device and discharges from the storage battery when the power load exceeds the rated output of the fuel cell device. This form is effective for a house where the amount of hot water used is relatively large. In the case of FIG. 22, the SOFC type fuel cell device is continuously operated at the rated output, and the surplus when the generated power exceeds the power load in the middle of the night or daytime is stored in the storage battery. It discharges when the rated output of the fuel cell device is exceeded. This form is effective for a house where the amount of hot water used is relatively large, and is also a desirable form in terms of operating efficiency of the fuel cell device.

  Then, the trial calculation unit 4 makes a trial calculation of the electricity bill under the operation modes shown in FIGS. 20 to 22 and calculates the purchase amount of surplus power. In the operation modes shown in FIGS. 20 to 22, an operation in which the surplus power during the daytime generated by the photovoltaic power generation facility is increased, that is, a push-up operation is performed. Therefore, the trial calculation unit 4 determines the purchase amount of surplus power. Apply the unit price when pushing up.

  On the other hand, when the trial calculation mode set by the mode setting unit 7 is the environmental priority mode, the trial calculation unit 4 specifies the power load in the house from the power load variation pattern designated by the user. In addition, when the environmental priority mode is set as the trial calculation mode, at least the storage battery is adopted as the installation facility. Therefore, the trial calculation unit 4 determines the storage battery when calculating the electricity rate in the environmental priority mode. Information related to specifications is read from the storage unit 6. And the trial calculation part 4 calculates | requires the electric power demand pattern in a house based on the read specification of the storage battery and the specified electric power load.

  Here, in this embodiment, when calculating the electricity charge under the environmental priority mode, the electricity charge in the case where the power generation facility such as the solar power generation facility or the fuel cell device and the storage battery are connected is estimated. become. And the trial calculation part 4 estimates the electricity bill at the time of operating each distributed power supply so that the amount of power purchases may reduce. In particular, in this embodiment, the trial calculation unit 4 stores the power (surplus power) at the time of power surplus when the power generated by the solar power generation facility or the fuel cell device exceeds the power load in the storage battery, and at a time other than the time of power surplus Estimate the electricity bill when the amount of electricity purchased is minimized by discharging at.

Here, with respect to the operation mode for minimizing the amount of power purchased, a plurality of variations are conceivable depending on the type of distributed power source to be introduced and the distributed power source to be preferentially used. In order to explain more specifically, the case illustrated in FIGS. 23 to 26 will be described as an example.
FIGS. 23 to 26 are diagrams when each distributed power source is operated so that the amount of purchased power is minimized. FIG. 23 shows a case where the solar power generation facility is preferentially used in the interconnected operation of the solar power generation facility and the storage battery. FIG. 24 shows a case where the solar power generation facility is preferentially used in the interconnected operation of the solar power generation facility, the storage battery, and the fuel cell device. FIG. 25 shows a case where the fuel cell device is operated with high efficiency in the interconnection operation of the photovoltaic power generation facility, the storage battery, and the SOFC type fuel cell device. FIG. 26 shows a case where the fuel cell device is preferentially used in the interconnected operation of the storage battery and the SOFC type fuel cell device.

  In addition, in each figure of FIG. 23 thru | or 26, the electric power demand pattern (electric power load) is illustrated with the thin broken line, and the actual power purchase amount is illustrated with the thin continuous line. In addition, among the power supply patterns, the power generation pattern of the photovoltaic power generation facility is illustrated by a thick broken line in each of FIGS. 23 to 25, and the power generation pattern of the fuel cell device is illustrated in FIGS. 24 to 26. In each figure, it is shown by a double line. Further, in FIG. 25, a pattern obtained by synthesizing the power generation pattern of the photovoltaic power generation facility and the power generation pattern of the fuel cell device is shown by a thick solid line.

When the solar power generation facility is preferentially used in the grid-operated operation of the solar power generation facility and the storage battery, for example, as shown in FIG. 23, the surplus power when the generated power exceeds the power load is stored, It is possible to minimize the amount of power purchased by discharging in a time zone where the power generation facility cannot generate power (for example, at night).
Similarly, when the photovoltaic power generation facility is preferentially used in the interconnection operation of the photovoltaic power generation facility, the storage battery, and the fuel cell device, as shown in FIG. It is possible to minimize the amount of power purchased by storing the surplus power when the power exceeds the value and discharging the power load in a time zone when the power load exceeds the generated power. In the case shown in FIG. 24, among the power generated by the solar power generation facility during the day, the amount directly supplied to the power load is increased as much as possible to reduce the power stored in the storage battery during the day. Thereby, it becomes possible to employ | adopt a comparatively small capacity | capacitance as a storage battery introduced into a house.

  Further, when the fuel cell device is efficiently operated in the interconnection operation of the solar power generation facility, the storage battery, and the SOFC type fuel cell device, as shown in FIG. 25, during the day when the solar power generation facility generates power. The fuel cell device follows the electric power load and generates power, and the fuel cell device operates at the rated output during time periods other than daytime. In such an operation mode, the surplus power when the total power generated by the photovoltaic power generation facility and the fuel cell device exceeds the power load is stored, and the power load is discharged in a time zone when the total power generated exceeds the total power. This makes it possible to minimize the amount of power purchase. Such an operation mode is advantageous, for example, for a house that consumes more electric power from evening to morning. In the case shown in FIG. 25, a relatively large-capacity storage battery is required to store most of the power generated by the solar power generation facility during the day in the storage battery.

  In addition, when the fuel cell device is used preferentially in the interconnection operation of the storage battery and the SOFC type fuel cell device, as shown in FIG. 26, the fuel cell device is operated at the rated output, and the rated output increases the power load. It is possible to minimize the amount of power purchased by storing surplus power when turning around in a storage battery and discharging the power load in a time zone where the power load exceeds the rated output. This form is effective for a house where the amount of hot water used is relatively large, and is also desirable from the viewpoint of the operation efficiency of the fuel cell device.

  In the cases shown in FIGS. 23 to 26 described above, the trial calculation unit 4 calculates the minimized power purchase amount, and calculates the electricity bill from the calculation result of the power purchase amount and the power unit price.

  In addition, as a method of reducing the amount of power purchase in the interconnection operation of the storage battery and the fuel cell device, the cases illustrated in FIGS. 27 and 28 are assumed in addition to the case illustrated in FIG. 27 and 28 are diagrams when each of the storage battery and the fuel cell device is operated so that the amount of purchased power is reduced, and FIG. 27 is a case where the storage battery is preferentially used in the interconnection operation of the storage battery and the fuel cell device. FIG. 28 shows a case where the fuel cell device is preferentially used in the interconnection operation of the storage battery and the fuel cell device. 27 and 28, the power demand pattern (power load) is shown by a thin broken line, the actual power purchase amount is shown by a solid line, and the power generation pattern of the fuel cell device is two. It is indicated by a heavy line.

In the case shown in FIG. 27, the storage battery is preferentially used, and the power stored in the storage battery is discharged during the night in the daytime. Such a form is effective in a house where the amount of hot water used is relatively small, or when the heat load is small and the amount of power generated by the fuel cell is small, such as in summer. FIG. 28 shows a case where the fuel cell device is preferentially used and discharged from the storage battery when the power load exceeds the rated output of the fuel cell device. This form is effective for a house where the amount of hot water used is relatively large.
Then, the trial calculation unit 4 calculates the reduced power purchase amount in each of the cases shown in FIG. 27 and FIG. 28, and calculates the electricity bill from the calculation result and the power unit price.

  In the present embodiment, all surplus power is stored in the storage battery as a premise for calculating the electricity bill under the environmental priority mode. That is, when calculating the electricity rate under the environmental priority mode in the present embodiment, for example, in the case where surplus occurs in the generated power of the solar power generation facility, the electricity rate is premised on storing all the surplus in the storage battery. Is going to be calculated. However, the capacity of the storage battery may not be large enough to store all surplus power generated by the photovoltaic power generation facility. Assuming such a case, when calculating the electricity rate under the environmental priority mode, a part of the surplus power generated by the photovoltaic power generation facility (amount commensurate with the capacity of the storage battery) is stored in the storage battery, and the remaining It is also possible to estimate the electricity charge on the assumption that the purchaser will purchase the electricity. As described above, the environmental priority mode may be a mode that presupposes that all of the generated power of the photovoltaic power generation facility when the power is surplus is stored in the storage battery, or a part of the generated power is stored in the storage battery. It may be a mode that presupposes storing in

<Estimation procedure for electricity charges>
Next, the flow of a process (trial calculation process) for calculating an electricity bill by the trial calculation method according to the present embodiment will be described. The flow of the trial calculation process described below corresponds to the procedure of the trial calculation method of the present embodiment, in other words, the contents of the trial calculation method of the present embodiment.
The trial calculation process is divided into cases after proceeding with the procedure shown in FIG. 29, and further proceeds with the procedure shown in any of FIGS. More specifically, first, the input screen shown in FIG. 9 is displayed on the display of the personal computer P (S001). This step S001 corresponds to a step of presenting a user with a candidate for a distributed power source to be introduced into a house, and on the above input screen, a photovoltaic power generation facility, a storage battery, and a fuel cell device are presented as candidates. In addition to the distributed power source candidates, power load variation pattern candidates and trial calculation mode candidates are displayed on the input screen.

  Then, when the user inputs the adoption result for each distributed power source, the designation result of the power load fluctuation pattern, and the designation result of the trial calculation mode through the input screen, the personal computer P receives the input operation (S002). As a result, various information input by the user through the input screen is stored in the personal computer P. On the other hand, the personal computer P acquires a power unit price for each price plan and a purchase unit price of surplus power in advance and stores them in the personal computer P. A plurality of types of power load fluctuation patterns are registered in advance and stored in the personal computer P. That is, at the time of trial calculation of the electricity bill, a process of storing the user designation result for the distributed power source presented as a candidate, the power load fluctuation pattern, the power unit price, and the surplus power purchase unit price in the personal computer P is executed.

  After the various information is stored, the personal computer P (strictly, the CPU 10 of the personal computer P) reads information indicating the user input contents from the stored information, and specifies the input contents (S003). Specifically, in this step S003, an adoption result for each distributed power source presented as a candidate, a power load variation pattern designation result, and a trial calculation mode designation result are specified.

  Then, the personal computer P sets the mode designated by the user as the trial calculation mode (S004). This step S004 corresponds to an execution mode of the trial calculation process of the electricity bill, that is, a process for setting the trial calculation mode. In this step S004, the trial calculation mode may be automatically set on the personal computer P side depending on the type and combination of the distributed power sources employed as the installation equipment.

  On the other hand, the personal computer P reads the power load fluctuation pattern designated by the user from the stored information, and identifies the power load in the house from the power load fluctuation pattern (S005). Thereafter, the personal computer P responds to the power consumption of the system power and the consumption based on the power load specified in the previous step S003, the user adoption result for each stored distributed power source, the power unit price and the purchase price of surplus power. Execute the process of calculating the electricity bill. And the process after process S003 differs according to the user's adoption result with respect to each distributed power supply, ie, the kind and combination of the distributed power supply employ | adopted as introduction equipment.

  More specifically, the personal computer P determines whether there is a photovoltaic power generation facility among the distributed power sources adopted by the user as the introduction facility (S006). When there is a solar power generation facility (Yes in S006), the personal computer P reads the specifications of the solar power generation facility and the local environment information stored in advance, and specifies the power generation pattern of the solar power generation facility (S007, S008). ).

After specifying the power generation pattern, the personal computer P determines whether or not the fuel cell device is present in the distributed power source adopted by the user as the installation facility (S009).
When there is a fuel cell device (Yes in S009), the trial calculation process proceeds in the procedure shown in FIG. More specifically, when there is a fuel cell device, the personal computer P reads the specifications of the fuel cell device stored in advance (S011). Furthermore, the personal computer P determines whether there is a storage battery in the distributed power source adopted by the user as the installation facility (S012).

Then, when there is no storage battery (No in S012), the personal computer P calculates the electricity rate under the case where the photovoltaic power generation facility and the fuel cell device are linked (indicated as case 1 in FIG. 30) (S013). ). This case 1 corresponds to the case shown in FIGS. In this case 1, the personal computer P uses the power load specified in the previous step S005, the power generation pattern specified in the previous step 008, and the specifications of the fuel cell device read out in the previous step S011, Each power supply pattern is determined. Then, the personal computer P calculates the power consumption of the system power, that is, the power purchase amount from the calculated power demand pattern, and calculates the electricity bill from the calculated result and the stored power unit price.
On the other hand, in case 1, as shown in FIGS. 16 and 17, it is assumed that when surplus power is generated in the photovoltaic power generation facility, the surplus power is purchased by a purchaser. For this reason, in case 1, the personal computer P calculates the purchase amount of surplus power, that is, the power sale amount from the calculated power supply pattern, and calculates the purchase amount from the calculation result and the stored purchase unit price. In case 1, as shown in FIGS. 16 and 17, since the fuel cell device performs a push-up operation, the personal computer P applies the push-up unit price when calculating the purchase amount.

  On the other hand, when there is a storage battery (Yes in S012), the personal computer P reads the specifications of the storage battery stored in advance (S014). Subsequent processing proceeds according to the trial calculation mode set in the previous step S004 (S015).

More specifically, when the set trial calculation mode is the economy priority mode ("Economic priority" in S015), the personal computer P is redundant in the interconnection operation of the photovoltaic power generation facility, the storage battery, and the fuel cell device. Electricity charges are calculated under a case where power is purchased by a purchaser (shown as case 2 in FIG. 30) (S016). The case 2 corresponds to the case illustrated in FIGS. In this case 2, the personal computer P uses the power load specified in the previous step S005, the power generation pattern specified in the previous step 008, and the specifications of the fuel cell device and the storage battery read out in the previous steps S011 and S014. Each of the power demand pattern and the power supply pattern is determined. Then, the personal computer P calculates the amount of power purchase from the calculated power demand pattern, and calculates the electricity bill from the calculated result and the stored power unit price.
On the other hand, in case 2, the personal computer P calculates the amount of power sold from the calculated power supply pattern, and calculates the purchase amount from the calculation result and the stored purchase unit price. In case 2, since the fuel cell device performs a push-up operation, the personal computer P applies the push-up unit price when calculating the purchase amount.

  On the other hand, when the set trial calculation mode is the environmental priority mode (“environmental priority” in S015), the personal computer P uses the power generated by the solar power generation facility or the fuel cell device to exceed the power load. Electricity charges are estimated under a case where the surplus power is stored in the storage battery and discharged at a time other than the surplus power (referred to as case 3 in FIG. 30) (S017). This case 3 corresponds to the case illustrated in FIGS. 24 and 25 described above. In this case 3, the personal computer P determines the amount of power purchased based on the power load specified in the previous step S005, the power generation pattern specified in the previous step 008, and the specifications of the fuel cell device and storage battery read in the previous steps S011 and S014. Determine the power demand pattern that minimizes. Then, the personal computer P calculates a power purchase amount from the calculated power demand pattern, and calculates an electric charge from the calculation result and the power unit price.

  Returning to step S009, when there is no fuel cell device (No in S009), the trial calculation process proceeds in the procedure shown in FIG. More specifically, when there is no fuel cell device, the personal computer P next determines whether or not there is a storage battery in the distributed power source adopted by the user as the installation equipment (S021).

  And when there is no storage battery (it is No at S021), the personal computer P estimates the electricity bill under the case (it describes with case 4 in FIG. 31) in which a solar power generation facility carries out independent operation (S022). The case 4 corresponds to the case illustrated in FIG. In this case 4, the personal computer P calculates the amount of power purchase based on the power load specified in the previous step S005 and the power generation pattern specified in the previous step 008, and calculates the electric bill from the calculated result and the stored power unit price. Estimate. Further, in case 4, since it is assumed that when surplus power is generated in the photovoltaic power generation facility, the surplus power is purchased by a purchaser, the personal computer P is based on the specified power load and power generation pattern. The amount of electricity sold is calculated, and the purchase amount is calculated from the calculation result and the purchase unit price. In case 4, since there is no distributed power source that performs the push-up operation, the personal computer P applies the normal unit price when calculating the purchase amount.

  On the other hand, when there is a storage battery (Yes in S021), the personal computer P reads the specification of the storage battery stored in advance (S023), and thereafter, the trial calculation process proceeds according to the trial calculation mode designated by the user (S024). More specifically, if the set trial calculation mode is the economic priority mode (“Economic priority” in S024), the personal computer P is capable of non-push-up operation of the storage battery employed as the installed equipment. It is determined whether or not (S025).

  If the storage battery is not capable of non-push-up operation (No in S025), the personal computer P performs a push-up operation as an interconnection operation between the photovoltaic power generation facility and the storage battery to purchase surplus power (in FIG. 31). The electricity charges are calculated under (case 5) (S026). The case 5 corresponds to the case illustrated in FIG. In this case 5, the personal computer P uses the power load specified in the previous step S005, the power generation pattern specified in the previous step 008, and the power demand when performing the push-up operation based on the specifications of the storage battery read out in the previous step S023. Each pattern and power supply pattern is determined. Thereafter, the personal computer P calculates the electricity bill and calculates the purchase amount of surplus power by the same procedure as in the case 2. In case 5, since the storage battery is pushed up, the pushed-up unit price is applied as the purchase price of surplus power.

  On the other hand, when the storage battery is capable of non-push-up operation (Yes in S025), the personal computer P has either the first economic priority mode or the second economic priority mode set as the trial calculation mode. Is determined (S027). Here, when the first economic priority mode is set (“first economic priority” in S027), the personal computer P calculates the electricity rate under the case 5 described above, and calculates the purchase amount of surplus power. calculate.

  On the other hand, when the second economic priority mode is set (“second economic priority” in S027), the personal computer P performs a non-push-up operation as an interconnection operation between the solar power generation facility and the storage battery, and surplus power. The electricity rate is estimated under the case where the power is purchased (indicated as case 6 in FIG. 31) (S028). The case 6 corresponds to the case illustrated in FIG. 19 described above. In this case 6, the personal computer P uses the power load specified in the previous step S005, the power generation pattern specified in the previous step 008, and the power of the non-push-up operation based on the storage battery specifications read out in the previous step S023. Demand patterns and power supply patterns are determined. Thereafter, the personal computer P calculates the electricity bill according to the same procedure as in the case 2 and calculates the purchase amount of surplus power. The surplus power purchase unit price applied in case 6 is a normal unit price.

  Returning to step S024, when the trial calculation mode specified by the user is the environmental priority mode (“environmental priority” in S024), the personal computer P uses the power generated by the photovoltaic power generation facility to exceed the power load. Electric charges are calculated under a case where the surplus power is stored in the storage battery and discharged at a time other than the surplus power (indicated as case 7 in FIG. 31) (S029). The case 7 corresponds to the case illustrated in FIG. In this case 7, the personal computer P uses the power load specified in the previous step S005, the power generation pattern specified in the previous step 008, and the power demand that minimizes the amount of power purchased based on the specifications of the storage battery read in the previous step S023. Determine the pattern. Thereafter, the personal computer P calculates the electricity bill by the same procedure as in Case 3.

  Returning to step S006, when there is no photovoltaic power generation facility in the distributed power source adopted by the user (No in S006), the trial calculation process proceeds in the procedure shown in FIG. More specifically, when there is no photovoltaic power generation facility, the personal computer P next determines whether or not the fuel cell device is in the distributed power source adopted by the user as the introduction facility (S031). When there is a fuel cell device (Yes in S031), the personal computer P reads the specifications of the fuel cell device stored in advance (S032). Thereafter, the personal computer P determines whether there is a storage battery in the distributed power source adopted by the user as the installation facility (S033).

  And when there exists a storage battery (it is Yes at S033), the personal computer P reads the specification of the storage battery memorize | stored beforehand inside (S034). In addition, the personal computer P stores in the storage battery the power at the time of surplus power when the generated power of the fuel cell device exceeds the power load, and discharges at a time other than the time of surplus power (denoted as case 8 in FIG. 32). ) To calculate the electricity bill (S035). The case 8 corresponds to the case illustrated in FIGS. 26 to 28 described above. In this case 8, the personal computer P determines the power demand pattern that minimizes the amount of power purchased based on the power load specified in the previous step S005 and the specifications of the storage battery and the fuel cell device read in the previous steps S032 and S034. . Thereafter, the personal computer P calculates the electricity bill by the same procedure as in Case 3.

  On the other hand, when there is no storage battery (No in S033), since the distributed power source is only the fuel cell device, the personal computer P is a case corresponding to the case illustrated in FIGS. 5 and 6 (indicated as case 9 in FIG. 32). The electricity charges are estimated below (S036). That is, in this case 9, the personal computer P calculates the amount of power generation based on the specifications of the fuel cell device read out in S034, and subtracts the power generation amount of the fuel cell device from the specified power load to calculate the amount of power purchase. Then, the personal computer P calculates the electricity rate from the calculation result of the amount of power purchase and the unit price of power.

  By the way, when there is no fuel cell apparatus in step S031 (No in S031), the personal computer P further determines whether there is a storage battery in the distributed power source adopted by the user as the introduction facility (S037). Here, when there is a storage battery (Yes in S037), the personal computer P reads the stored storage battery specification (S038), and under the case where only the storage battery is introduced as a distributed power source (denoted as case 10 in FIG. 32). To calculate the electricity bill (S039). More specifically, the case 10 corresponds to the case shown in FIG. 4, and the personal computer P specifies a storage / discharge pattern that minimizes the electricity bill based on the specified electrical load and storage battery specifications. Then, calculate the electricity bill.

  When there is no storage battery in step S037 (No in S037), the personal computer P calculates the electricity bill under a case where there is no distributed power supply (denoted as case 11 in FIG. 32) (S040). That is, the personal computer P calculates a power purchase amount according to the specified power load, and calculates an electricity bill from the calculation result and the power unit price.

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

  In the above embodiment, the electricity charge is mainly estimated as the energy usage charge. However, other charges, such as gas charges, kerosene charges, hydrogen charges, etc., calculated as utility costs are calculated and calculated. It is good also as a trial calculation as an energy usage fee what added the result to the electricity bill.

  Further, in the above-described embodiment, as the items to be input by the user when calculating the electricity bill, whether or not to adopt the distributed power source presented as a candidate, the power fluctuation pattern, and the trial calculation mode are input. However, the input items only need to include at least the above items, and other items may be added. For example, the presence or usage of a system such as a so-called HEMS (Home Energy Management System) is added and added as input items, such as visualizing and displaying the power load and amount of electricity purchased in a house, remotely controlling electrical equipment, etc. Also good. In such a case, when there is an input that there is introduction of HEMS, the electricity charge is estimated in consideration of the reduction effect of the power load expected according to the introduction and usage form of the facility. More specifically, a reduction rate is set according to whether or not HEMS is introduced and its usage pattern. When calculating the electricity bill, the reduction rate corresponding to the contents of the input result related to HEMS is used. The net power load will be calculated.

  Other input items include cooking method and heating method. For example, the cooking method can be selected from “gas cooking”, “electric cooking”, and “gas and electricity combined use”, and the heating method can be selected from “gas cooking”. It is also possible to select “heating”, “kerosene heating”, “electric heating”, or “gas / electricity combined use”. Furthermore, a gas consumption pattern indicating the amount of gas used in each time zone and a hot water supply pattern indicating the amount of hot water supply in each time zone may be added as input items. The trial calculation device and the trial calculation method according to the present invention include those for estimating the electricity bill reflecting the input items listed above.

  In the above embodiment, only the generated power of the solar power generation facility can be purchased by the purchaser, but the present invention is not limited to this. That is, the purchaser may be able to purchase the power generated by other power generation facilities such as a fuel cell device.

  Further, in the above embodiment, when the photovoltaic power generation facility, the storage battery, and the fuel cell device are all adopted as the introduction equipment, the trial calculation mode is environmentality regardless of whether the storage battery is capable of non-push-up operation. The priority mode and the first economic priority mode are limited, and the second economic priority mode is not set. However, the present invention is not limited to this. For example, when the fuel cell device is capable of non-push-up operation, the second economy priority mode may be added to the setting target of the trial calculation mode.

  Further, in the above embodiment, the purchase of electricity charges and surplus power is calculated by reflecting the introduction of the distributed power source presented as a candidate. However, the charge to be calculated is not limited to the above contents, and for example, the introduction cost and running cost (including maintenance cost) of each distributed power source may be calculated together.

1 This device (estimation device)
2 candidate presentation unit, 3 operation reception unit 4 trial calculation unit, 5 trial calculation result notification unit 6 storage unit, 7 mode setting unit 10 CPU, 11 ROM
12 RAM, 13 Hard disk 14 Input device, 15 Output device P PC

Claims (5)

It is a trial calculation device that calculates the usage fee of energy used in a building,
A candidate presentation unit that presents to the user candidates for equipment to be introduced into the building;
A storage unit storing a user adoption result for the candidate presented by the candidate presenting unit, a power load fluctuation pattern in the building, and a unit price of power supplied from a commercial power source;
Based on the adoption result stored in the storage unit and the fluctuation pattern of the power load, the consumption amount of power supplied from the commercial power supply is calculated, and the calculation result of the consumption amount and the storage unit stored in the storage unit are calculated. A trial calculation unit for calculating the usage fee from the unit price;
A mode setting unit for setting an execution mode of trial calculation processing by the trial calculation unit,
The candidate presenting unit is configured to supply power generated to supply power to the power load, the first equipment to be purchased by a purchaser, and to store power and supply discharge power to the power load. Presenting the candidate including at least two facilities,
When the adoption result indicating that both the first facility and the second facility are introduced into the building is stored in the storage unit, the mode setting unit is
An economic priority mode for calculating the usage fee when operating both of the first facility so that the purchaser purchases at least a part of the generated power of the first facility;
Among the environmental priority modes for calculating the usage fee when both are operated so as to reduce the consumption of power supplied from the commercial power source, any mode is set as the execution mode,
When the economic priority mode is set as the execution mode, the trial calculation unit buys the generated power when the surplus power that the power supplied by operating both exceeds the power load from the purchaser. To calculate the amount of profit
When the environmental priority mode is set as the execution mode, the trial calculation unit stores part or all of the generated power in the surplus power in the second facility and discharges at a time other than the surplus power And calculating an electricity bill when the power is supplied to the power load. The candidate presenting unit presents the candidate including the first facility, the second facility, and a third facility in which power generated to supply power to the power load is excluded from the purchase target. And
When the economic priority mode is set as the execution mode, the mode setting unit
First economic priority for calculating the profit amount when at least one of the second facility and the third facility supplies power to the power load during the period in which the first facility is generating power Mode,
A second economic priority mode for calculating the profit amount when neither the second facility nor the third facility supplies power to the power load during a period when the first facility is generating power; The trial calculation apparatus according to claim 1, wherein any one of the modes is set as the execution mode. The storage unit further stores a first unit price and a second unit price that are different from each other as a purchase unit price when the purchaser is allowed to purchase the generated power of the first facility,
When the first economic priority mode is set as the execution mode, the trial calculation unit calculates the profit amount based on the first unit price that is lower of the first unit price and the second unit price,
When the second economic priority mode is set as the execution mode, the trial calculation unit calculates the profit amount based on the higher second unit price out of the first unit price and the second unit price. The trial calculation apparatus according to claim 2, wherein: The candidate presenting unit presents the candidate including a photovoltaic power generation facility corresponding to the first facility, a power storage device corresponding to the second facility, and a fuel cell device corresponding to the third facility,
Only when the adoption result indicating that the power storage device capable of limiting the discharge during power generation of the photovoltaic power generation facility is introduced into the building is stored in the storage unit, the mode setting unit is 4. The trial calculation device according to claim 2, wherein the execution mode is set from the environmental priority mode, the first economic priority mode, and the second economic priority mode. A calculation method in which a computer calculates a usage fee for energy used in a building,
The computer is
A process of presenting to a user a candidate for equipment to be introduced into the building;
A process of storing a user adoption result for the presented candidate, a power load fluctuation pattern in the building, and a unit price of power supplied from a commercial power source;
Based on the stored adoption result and the fluctuation pattern of the power load, the consumption amount of power supplied from the commercial power source is calculated, and the usage fee is estimated from the calculation result of the consumption amount and the stored unit price. Processing,
A process for setting an execution mode of the process for calculating the usage fee, and
In the process of presenting the candidate, the computer stores the power that is generated by the purchaser to purchase power for supplying power to the power load, stores the power, and supplies the power to the power load. Presenting the candidate including at least a second facility for supplying discharge power;
In the process of setting the execution mode when the adoption result indicating that both the first equipment and the second equipment are introduced into the building is stored, the computer
An economic priority mode for calculating the usage fee when operating both of the first facility so that the purchaser purchases at least a part of the generated power of the first facility;
Among the environmental priority modes for calculating the usage fee when both are operated so as to reduce the consumption of power supplied from the commercial power source, any mode is set as the execution mode,
When the economy priority mode is set as the execution mode, in the process of calculating the usage fee, the computer operates the both and supplies the power when the power surplus exceeds the power load. Calculate the amount of profit obtained by letting the purchaser purchase the generated power,
When the environmental priority mode is set as the execution mode, in the process of calculating the usage fee, the computer stores part or all of the generated power at the time of surplus power in the second facility, and The trial calculation method characterized by calculating the electricity bill when discharging at the time other than the time of power surplus and supplying to the said power load.

Images