Energy planning system, energy planning method, and program

The energy planning system accurately calculates the monetary benefits of solar power generation by integrating power consumption and generation data, enhancing decision-making with precise financial projections.

JP2025128957APending Publication Date: 2025-09-03PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO LTD
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Patent Information

Application Number
JP2024026022
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-02-22
Publication Date
2025-09-03

AI Technical Summary

Technical Problem

Existing energy planning systems fail to accurately calculate the monetary benefits of installing solar power generation equipment in facilities such as residences.

Method used

An energy planning system that includes a first acquisition unit for power consumption data, a second acquisition unit for estimated power generation data, and a calculation unit to determine the monetary effect based on these data points, considering actual power consumption, selling price, and purchasing price.

Benefits of technology

Enables more accurate calculation of the monetary benefits of installing solar power generation equipment, reflecting lifestyle rhythms and consumption patterns, facilitating informed decision-making.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide an energy planning system and the like capable of more correctly calculating the amount of benefit by introducing a solar power generation facility.SOLUTION: The energy planning system is an energy planning system for calculating the amount of benefit regarding the introduction of a solar power generation facility to a facility. The system includes: an acquisition unit 110 that acquires power consumption data, which is the actual power consumption data of the facility during a past target period, an electricity selling price, and a power purchase price; an estimation unit 120 that acquires estimated power generation data that estimate the amount of power generated by a solar power generation facility if it were installed at a facility during a target period; and a calculation unit that calculates the amount of benefit based on the power consumption data, the estimated power generation data, the electricity selling price, and the power purchase price.SELECTED DRAWING: Figure 2
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Description

[Technical Field]

[0001] The present invention relates to an energy planning system, an energy planning method, and a program. [Background technology]

[0002] Patent Document 1 discloses an energy planning system that proposes the introduction of photovoltaic power generation equipment, storage battery equipment, etc., based on electricity consumption measurement data of residents. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2016-81143 Summary of the Invention [Problem to be solved by the invention]

[0004] However, it is desirable to calculate more accurately the monetary benefits of installing solar power generation equipment in facilities such as residences.

[0005] Therefore, the present invention provides an energy planning system and the like that can more accurately calculate the monetary benefits of introducing a solar power generation facility. [Means for solving the problem]

[0006] An energy planning system according to one embodiment of the present disclosure is an energy planning system that calculates the monetary effect of introducing solar power generation equipment into a facility, and includes: a first acquisition unit that acquires power consumption data, which is the actual power consumption of the facility during a past target period, a power selling price, and a power purchase price; a second acquisition unit that acquires estimated power generation data that estimates the amount of power generated by the solar power generation equipment if the solar power generation equipment had been introduced into the facility during the target period; and a calculation unit that calculates the monetary effect based on the power consumption data, the estimated power generation data, the power selling price, and the power purchase price.

[0007] An energy planning method according to one aspect of the present disclosure is an energy planning method for calculating the monetary effect of introducing solar power generation equipment into a facility, which obtains power consumption data, which is the actual power consumption of the facility during a target period in the past, the electricity selling price, and the electricity purchasing price, obtains estimated power generation data that estimates the amount of power generated by the solar power generation equipment during the target period if the solar power generation equipment had been introduced into the facility, and calculates the monetary effect based on the power consumption data, the estimated power generation data, the electricity selling price, and the electricity purchasing price.

[0008] A program according to one aspect of the present disclosure is a program for causing a computer to execute the above energy planning method. [Effects of the Invention]

[0009] According to one aspect of the present invention, it is possible to realize an energy planning system or the like that can more accurately calculate the monetary effect of introducing a photovoltaic power generation facility. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a system schematic diagram showing a group of devices related to an energy planning system according to an embodiment. [Figure 2]FIG. 2 is a block diagram showing a functional configuration of the energy planning server according to the embodiment. [Figure 3] FIG. 3 is a sequence diagram showing the operation of the energy planning system according to the embodiment. [Figure 4] FIG. 4 is a conceptual diagram showing the relationship between the power consumption (actual measured values) and the generated power (estimated values) and the power sold and the power purchased according to the embodiment. [Figure 5] FIG. 5 is a diagram showing an example of displaying the benefit amount according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, the embodiments will be specifically described with reference to the drawings.

[0012] The embodiments described below are all comprehensive or specific examples. The numerical values, shapes, components, arrangement and connection of the components, steps, and order of steps shown in the following embodiments are merely examples and are not intended to limit the present disclosure.

[0013] Furthermore, each figure is a schematic diagram and is not necessarily an exact illustration. Therefore, for example, the scales of the figures do not necessarily match. Furthermore, in each figure, substantially the same components are given the same reference numerals, and redundant explanations are omitted or simplified.

[0014] Furthermore, in this specification, terms indicating relationships between elements such as "same," as well as numerical values ​​and numerical ranges, are not expressions that express only the strict meaning, but are expressions that also include a substantially equivalent range, for example, a difference of about several percent (or about 10%).

[0015] Furthermore, in this specification, ordinal numbers such as "first" and "second" do not refer to the number or order of components unless otherwise specified, but are used for the purpose of avoiding confusion and distinguishing between components of the same type.

[0016] (Embodiment) The energy planning system according to this embodiment will be described below with reference to FIGS.

[0017] [1. Energy Planning System Configuration] First, the configuration of an energy planning system according to this embodiment will be described with reference to Figures 1 and 2. Figure 1 is a system schematic diagram showing a group of devices related to an energy planning system 10 according to this embodiment.

[0018] 1, the energy planning system 10 includes a Home Energy Management System (HEMS) 200 installed in each residence (residence 20a, residence 20b, residence 20c, etc.), an energy planning server 100, and a mobile terminal 30, and the HEMS 200, the energy planning server 100, and the mobile terminal 30 are connected to each other so as to be able to communicate with each other via a network 11. The energy planning server 100 is also connected to a group of external servers so as to be able to communicate with each other via the network 11. The network 11 includes, for example, a wide area network such as the Internet.

[0019] Each house is an example of a facility. A facility may be a residential facility or a non-residential facility. Examples of residential facilities are detached houses and apartment buildings. Each of the multiple dwelling units in an apartment building may be considered a "facility," or the entire apartment building may be considered a "facility." Examples of non-residential facilities include stores, office buildings, schools, welfare facilities, commercial complexes, hospitals, factories, etc.

[0020] The energy planning system 10 configured as shown in Figure 1 has the function of executing an energy planning method and proposing an appropriate energy plan for each home that does not have a solar power generation system. Here, the energy plan includes information for promoting the introduction of a solar power generation system (specifically, the monetary effect, which will be described later).

[0021] As shown in FIG. 1, the HEMS 200 includes a HEMS controller 210, a power measuring device 215, and a group of HEMS devices.

[0022] The power measuring device 215 is provided in a distribution board or the like that branches the power supplied from the power grid in the residence 20a, and is a device having electrical circuits such as a current sensor for measuring the power consumed by electrical appliances connected to each branch circuit or the surplus power output by a power generation device to the power grid. Here, the electrical appliances include HEMS devices. The power is branched, for example, for each room in the residence 20a (e.g., bedroom, entrance, etc.) or for each part of a room (e.g., an area where an air conditioner is installed, an area where a heat pump water heater is installed, etc.).

[0023] The HEMS controller 210 is a device housed in, for example, a distribution board, acquires measurement results from a power measuring device 215, and controls HEMS devices under certain conditions to reduce energy consumption, etc. The HEMS controller 210 transmits data acquired from the HEMS devices and measurement results acquired from the power measuring device 215 to the energy planning server 100 via the network 11. The HEMS controller 210 includes a memory, a communication circuit (communication module), and a CPU (Central Processing Unit).

[0024] Each HEMS device is an energy facility from the viewpoint of energy, and is a load device 221, a load device 222, etc. that has a user interface (UI) means.

[0025] The load device 221 has UI means (display, touch panel, keyboard, etc.) that accepts input from the resident (user) of the house and presents information (for example, displaying video, outputting audio, etc.), and is, for example, a tablet or monitor. The load device 221 can display data such as the amount of power consumption acquired by the HEMS controller 210 in the HEMS 200 from the power measuring device 215. This allows the resident of the house 20a to see, for example, the amount of power used, thereby realizing so-called "energy visualization."

[0026] The load device 222 is, for example, an electrical device such as a lighting fixture, an air conditioner, a refrigerator, a heat pump water heater, an induction cooker, or a television receiver, or a charging device for an electric vehicle, and consumes power when operating.

[0027] The houses 20b and 20c also include a HEMS equivalent to the HEMS 200, similar to the house 20a.

[0028] The mobile terminal 30 is a terminal device (for example, a smartphone) that includes an input means such as a touch panel, a display 31 (see FIG. 5 described later), a memory, a communication circuit, and a CPU. The mobile terminal 30 may, for example, receive input of the unit price (power selling price) for selling electricity from the user and transmit the received power selling price to the energy planning server 100. The display 31 functions as a display unit that displays the monetary effect calculated by the energy planning server 100 described later.

[0029] The energy planning server 100 is a server device equipped with a recording device such as a hard disk, a memory, a communication circuit, and a CPU. The memory may be a ROM (Read Only Memory) that stores programs and data in advance, a RAM (Random Access Memory) that is used to store data when a program is executed, or the like, and may include, for example, a non-volatile memory. The CPU executes the program stored in the memory to control the communication circuit, etc., and perform energy planning processing.

[0030] The energy planning server 100 acquires data from the HEMS controller of each home and calculates, for each home, the monetary value of the benefits associated with installing a solar power generation system. To calculate the monetary value of the benefits that would be expected if a solar power generation system had been installed in that home, the energy planning server 100 uses power consumption data, which is the actual power consumption of the home. For example, the energy planning server 100 estimates the amount of purchased and sold electricity that would have been expected if a solar power generation system had been installed during a certain period in the past, based on the power consumption data, and calculates the estimated monetary value of the benefits that would have been expected if the solar power generation system had been installed during that certain period in the past. Because such monetary value of benefits can be important information for users in deciding whether or not to install a solar power generation system, it is desirable to calculate it more accurately.

[0031] Furthermore, the energy planning server 100 acquires various information required to calculate the effect amount from the mobile terminal 30, a group of external servers, and the like.

[0032] The group of external servers includes, for example, a weather information server 91, one electric power company server 92, another electric power company server 93, or other external servers not shown.

[0033] The weather information server 91 is a server device that provides climate information such as the weather for each region. The climate information can be used to calculate the amount of power generated by a solar power generation facility, for example. The climate information includes at least data on the amount of sunlight.

[0034] The electric power company servers 92 and 93 are server devices provided in different electric power companies, and provide information on energy-related services provided by the electric power companies (for example, information on energy purchase contracts that determine electricity rates, etc.) One of the electric power company servers 92 and 93, for example, manages the unit price (power purchase price) at which each home purchases electricity.

[0035] The configuration of the energy planning server 100 will now be described further with reference to Fig. 2. Fig. 2 is a block diagram showing the functional configuration of the energy planning server 100 according to this embodiment.

[0036] 2, the energy planning server 100 includes an acquisition unit 110, an estimation unit 120, a power calculation unit 130, a monetary benefit calculation unit 140, a storage unit 150, and an output unit 160. The following description will be given using house 20a as an example of each house. House 20a is a house that does not have a solar power generation facility installed.

[0037] The acquisition unit 110 acquires various information for calculating the monetary effect. The acquisition unit 110 acquires power consumption data, which is the actual power consumption of the residence 20a during a past target period, from the HEMS controller 210. The power consumption data may include, for example, the power consumption per first unit time during the target period. As such, the power consumption data includes actual measured power consumption data, and therefore may differ for each residence. For example, the power consumption data may differ for each first unit time during the target period. In other words, the power consumption data is data unique to each residence. The target period is a target period for simulating the monetary effect, and is, for example, a period set by the user, but may also be a predetermined period. The target period may be, for example, in units of days, months, or years.

[0038] The acquisition unit 110 also acquires sunshine amount data including the amount of sunshine for each second unit time in the past target period in the district to which the house 20a belongs from the weather information server 91. The acquisition unit 110 acquires the actual measured value of the amount of sunshine.

[0039] Note that information indicating the district to which the house 20a belongs may be acquired, for example, by a user input to the HEMS controller 210 or the mobile terminal 30, and transmitted from the HEMS controller 210 to the energy planning server 100. The district may be a city, ward, town, or village, a single block, or a predetermined dedicated range. The first unit time may be, for example, 30 minutes, one hour, several hours, 24 hours (i.e., one day), or some other time period.

[0040] The acquisition unit 110 also acquires the electricity selling price, for example, through a user input. The electricity selling price may be acquired from the mobile terminal 30, or may be input by the user to the load device 221 and acquired via the HEMS controller 210. The acquisition unit 110 also acquires the electricity purchasing price from the power company server 92 or 93.

[0041] The acquisition unit 110 includes a communication circuit and is an example of a first acquisition unit.

[0042] The estimation unit 120 estimates the amount of power generated by the photovoltaic power generation facility (estimated power generation amount) during the target period assuming that the photovoltaic power generation facility had been installed in the house 20a, and acquires estimated power generation amount data indicating the estimated amount of power generation. The estimation unit 120 acquires the estimated power generation amount data by calculating the estimated power generation amount of the photovoltaic power generation facility for each second unit time based on information related to the estimated power generation amount of the photovoltaic power generation facility and data on the amount of sunlight. The information related to the estimated power generation amount of the photovoltaic power generation facility includes the power generation capacity of the photovoltaic power generation facility (e.g., photovoltaic power generation capacity), the orientation of the roof, etc.

[0043] The second unit time may be, for example, 30 minutes, 1 hour, several hours, 24 hours (i.e., 1 day), or any other time period. The first unit time and the second unit time may be the same or different from each other.

[0044] In this manner, in this embodiment, the estimated power generation amount data includes the estimated power generation amount of the photovoltaic power generation facility for each second unit time in the target period.

[0045] The estimation unit 120 may acquire estimated power generation data from an external device. When the amount of power generated during the target period by a house that has installed a photovoltaic power generation facility in the neighborhood of the house 20a is available, the estimation unit 120 may acquire a value based on the amount of power generated (actual measured value at the other house) as the amount of power generated by the house 20a. When the amount of power generated during the target period is available from an external server that estimates power generation, the estimation unit 120 may acquire a value based on the amount of power generated (the amount of power generated estimated by the other device) as the amount of power generated by the house 20a.

[0046] Based on the power consumption data and the estimated power generation data, the power calculation unit 130 calculates self-consumption data including the amount of self-consumption estimated to have been consumed by the residence 20a during the target period, and surplus power data including the amount of surplus power estimated not to have been consumed by the residence 20a during the target period. The lack of consumption by the residence 20a occurs when the amount of power generated assuming that a solar power generation system had been installed is greater than the amount of power actually measured at the residence 20a. For example, based on the amount of power consumed per first unit time and the estimated amount of power generated by the solar power generation system per second unit time, the power calculation unit 130 calculates the amount of self-consumption and surplus power for each third unit time during the target period.

[0047] The power calculation unit 130 calculates the self-consumption amount and surplus power amount assuming that the generated power is used for self-consumption with priority. For example, if the estimated amount of power generation in a predetermined unit time (e.g., the third unit time) is greater than the amount of power consumption (actually measured value), the self-consumption amount in that predetermined unit time will be the amount of power consumption, and the surplus power amount will be a value obtained by subtracting the amount of power consumption from the estimated amount of power generation. Also, if the estimated amount of power generation in a predetermined unit time (e.g., the third unit time) is equal to or less than the amount of power consumption (actually measured value), the self-consumption amount in that predetermined unit time will be the amount of power consumption, and the surplus power amount will be zero.

[0048] The monetary effect calculation unit 140 calculates the monetary effect that would have been obtained if the solar power generation equipment had been installed in the house 20a during the target period, based on the household consumption data, surplus power data, the electricity selling price, and the electricity purchasing price. The monetary effect is the estimated economic value that would have been obtained if the solar power generation equipment had been installed, based on the time when the solar power generation equipment was not installed.

[0049] The power calculation unit 130 and the cost-effectiveness calculation unit 140 constitute a calculation unit.

[0050] The storage unit 150 stores various information for calculating the benefit amount. The storage unit 150 stores power consumption data, sunlight amount data, etc. for a target period. The storage unit 150 is realized by, for example, a semiconductor memory, but is not limited to this.

[0051] The output unit 160 transmits information indicating the benefit amount to at least one of the mobile terminal 30 and the HEMS controller 210. The output unit 160 is configured to include, for example, a communication circuit.

[0052] [2. Operation of the Energy Planning System] Next, the operation of the energy planning system 10 configured as above will be described with reference to Fig. 3 to Fig. 5. Fig. 3 is a sequence diagram showing the operation (energy planning method) of the energy planning system 10 according to the present embodiment. Note that the operations shown in Fig. 3 are executed, for example, when no photovoltaic power generation equipment is installed in the house 20a.

[0053] 3, the HEMS controller 210 inquires of the power measuring device 215 about the current amount of purchased power, acquires the current amount of purchased power from the power measuring device 215, and stores the amount of purchased power together with time information in the storage unit 150 (S11 to S16). In this way, the HEMS controller 210 periodically acquires and accumulates the amount of purchased power. The amount of purchased power here corresponds to the actual amount of power consumption described above.

[0054] When the mobile terminal 30 receives an operation to start a dedicated application used in the energy planning system 10, the mobile terminal 30 displays a home screen (S17).

[0055] Next, when the mobile terminal 30 receives a request for a simulation of the cost-effectiveness (S18), it displays an input screen for inputting predetermined information (S19). The predetermined information includes the simulation period (target period), the solar power generation capacity used in the simulation, the orientation of the roof of the house 20a, and the identification information of the HEMS controller (HEMS controller No. shown in FIG. 3). The identification information of the HEMS controller is information unique to the HEMS controller 210 installed in the house 20a. The solar power generation capacity may be the power generation capacity of a solar power generation facility that the house 20a is considering installing.

[0056] Next, when the mobile terminal 30 receives input of predetermined information from the user (S20), it transmits the predetermined information to the energy planning server 100 (S21).

[0057] Next, when the energy planning server 100 receives the specified information via the acquisition unit 110, it inquires of the HEMS controller 210 indicated by the identification information about the area (i.e., district) in which the house 20a is located (S22), and receives information indicating the area (area A in the example of Figure 3) transmitted from the HEMS controller 210 via the acquisition unit 110 (S23).

[0058] Next, the energy planning server 100 inquires of the weather information server 91 about the amount of sunlight in area A for the target period (S24), and receives sunlight data for the target period from the weather information server 91 via the acquisition unit 110 (S25). The received sunlight data is associated with time information and stored in the storage unit 150. For example, the sunlight data is associated with information indicating which second unit time in the target period it is. As a result, the amount of sunlight for each second unit time in the target period is stored in association with the time information.

[0059] Next, the energy planning server 100 inquires of the HEMS controller 210 about the amount of power purchased in the house 20a for the target period (S26), and receives the data on the amount of power purchased for the target period from the HEMS controller 210 via the acquisition unit 110 (S27). The received data on the amount of power purchased is associated with time information and stored in the storage unit 150. For example, the data on the amount of power purchased is associated with information indicating which first unit time in the target period it is. As a result, the amount of power purchased for each first unit time in the target period (i.e., the amount of power consumed by the house 20a) is stored in association with the time information.

[0060] Next, the energy planning server 100 calculates (estimates) the estimated power generation amount assuming that solar power generation equipment had been installed in the house 20a during the target period based on the sunlight data, solar power generation capacity, and roof orientation (S28).

[0061] The estimation unit 120 of the energy planning server 100 estimates the estimated power generation amount of the photovoltaic power generation facility for each second unit time during the target period based on the solar radiation data for each second unit time during the target period, the photovoltaic power generation capacity, and the roof orientation. Any known technology may be used to estimate the estimated power generation amount of the photovoltaic power generation facility.

[0062] Fig. 4 is a conceptual diagram showing the relationship between power consumption (actual measured values) and power generation (estimated values) and power sold and power purchased according to this embodiment. In Fig. 4, the vertical axis represents power, and the horizontal axis represents time. (1) in Fig. 4 is the estimated value (predicted value) of power generation, and (2) in Fig. 4 is the actual measured value of power consumption. Fig. 4 also shows the relationship over a portion of the target period (for example, one day).

[0063] In step S28, the generated power (1) shown in FIG. 4 is estimated.

[0064] 3 again, the energy planning server 100 calculates the monetary effect amount based on the estimated power generation data, power purchase amount data, power purchase price, and power selling price for the target period (S29). The energy planning server 100 calculates a partial monetary effect amount for each third unit time based on the amount of power generation (estimated value) for each second unit time in the target period, the amount of power purchased (actual value) for each first unit time in the target period, the power selling price, and the power purchasing price, and calculates the monetary effect amount for the target period by adding up the partial monetary effect amounts for each third unit time.

[0065] First, the power calculation unit 130 of the energy planning server 100 calculates the amount of self-consumption and surplus power for every third unit time based on the magnitude relationship and difference between the data on (1) generated power and (2) consumed power, as shown in Fig. 4. The time before time t1 and the time after time t2 are time periods in which generated power is higher than consumed power, and therefore power purchases are required (i.e., there is a power shortage and electricity needs to be purchased) (areas B1 and B2 shown in Fig. 4). During these time periods, power purchases will occur even if a solar power generation facility is installed. In this case, the power calculation unit 130 calculates the power by subtracting the generated power from the consumed power during that third unit time, and sets this calculated power as an estimate of the power to be purchased.

[0066] The estimated value of the electric power to be sold before time t1 and after time t2 is zero.

[0067] Furthermore, the time between times t1 and t2 is a time slot where power consumption is higher than power generation, and so power can be sold (i.e., there is surplus power and power can be sold) (area A shown in FIG. 4). During this time slot, power would be sold if a solar power generation facility had been installed. In this case, the power calculation unit 130 calculates the power by subtracting the power consumption from the power generation during each third unit time, and sets this power as an estimate of the power to be sold.

[0068] Note that the estimated value of the purchased power during the time between times t1 and t2 is zero.

[0069] In this way, at least one of the estimated value of the purchased power and the estimated value of the sold power is 0 for every third unit time. Furthermore, at times t1 and t2, the estimated value of the purchased power and the estimated value of the sold power are both 0.

[0070] Next, the effect amount calculation unit 140 of the energy planning server 100 calculates the effect amount using the generated power and sold power calculated by the power calculation unit 130. The effect amount calculation unit 140 calculates the effect amount for the target period using, for example, the following formula 1.

[0071] Benefit amount = ∫((Power consumption (measured value) × Power purchase price) - (Power purchase price (estimated value) × Power purchase price - Power sale price (estimated value) × Power sale price))dt Formula 1

[0072] The effect amount calculation unit 140 calculates the effect amount for the target period by adding the partial effect amounts for each third unit time for the target period using Formula 1. Formula 1 is set in advance and stored in the storage unit 150.

[0073] The output unit 160 of the energy planning server 100 transmits the effect monetary amount for the target period calculated by the effect monetary amount calculation unit 140 to the mobile terminal 30 (S30). Note that the output unit 160 may transmit the effect monetary amount for the target period to the HEMS controller 210.

[0074] Next, the mobile terminal 30 receives the effect amount from the energy planning server 100 and displays the received effect amount (S31).

[0075] FIG. 5 is a diagram showing an example of displaying the benefit amount according to this embodiment.

[0076] 5, the display 31 of the mobile terminal 30 displays the target period and the effective amount for the target period as the amount of money that would be saved if a solar power generation facility were installed. The display 31 may further display a breakdown of the effective amount, which includes the effective amount from self-consumption and the effective amount from selling electricity, and the sum of these two effective amounts is the effective amount for the target period.

[0077] The monetary effect of self-consumption during the target period can be calculated using the following formula 2, and the monetary effect of selling electricity during the target period can be calculated using the following formula 3. The monetary effect calculation unit 140 may calculate the monetary effect of selling electricity during the target period and the monetary effect of selling electricity during the target period.

[0078] Amount of benefit from self-consumption during the target period = ∫((power consumption (measured value) × power purchase price) - (power purchase price (estimated value) × power purchase price))dt Formula 2

[0079] Amount of benefit from selling electricity during the target period = ∫ (electricity sold (estimated value) × electricity selling price) dt Formula 3

[0080] The benefit amount due to self-consumption for every third unit time in the target period is an example of the first benefit amount, and formula 2 means adding up the first benefit amount for every third unit time in the target period. The benefit amount due to selling electricity for every third unit time in the target period is an example of the second benefit amount, and formula 3 means adding up the second benefit amount for every third unit time in the target period.

[0081] The monetary effect of selling electricity for the target period calculated by Equation 2 is the monetary effect of self-consumption, and includes the amount corresponding to area C (non-hatched area) shown in FIG.

[0082] (Effects, etc.) The invention derived from the disclosure of this specification and the effects and the like obtained by said invention will be described below.

[0083] (Invention 1) The energy planning system 10 calculates the monetary effect of introducing solar power generation equipment into a facility, and includes: a first acquisition unit that acquires power consumption data, which is the actual power consumption of the facility during a target period in the past, the electricity selling price, and the electricity purchasing price; a second acquisition unit that acquires estimated power generation data that estimates the amount of power generated by the solar power generation equipment if the solar power generation equipment had been introduced into the facility during the target period; and a calculation unit that calculates the monetary effect based on the power consumption data, the estimated power generation data, the electricity selling price, and the electricity purchasing price.

[0084] This makes it possible to calculate the monetary effect amount using the actual measured data of the electricity consumption of a facility considering the introduction of solar power generation equipment. The electricity consumption of the facility is, for example, an amount of electricity that reflects the lifestyle rhythms and composition of the users living in the facility, so the calculated monetary effect amount also reflects the lifestyle rhythms, etc. Therefore, compared to when calculating the monetary effect amount using standard electricity consumption data, the monetary effect amount resulting from the introduction of solar power generation equipment can be calculated more accurately. The monetary effect amount calculated in this way can be an amount that more closely corresponds to the actual lifestyle of the facility. Furthermore, accurate monetary effect amounts make it easier for facility users to consider the introduction of solar power generation equipment.

[0085] (Invention 2) The energy planning system 10 of Invention 1 is configured such that the power consumption data includes the amount of power consumed for each first unit time during the target period, and the estimated power generation data includes the amount of power generated by the solar power generation facility for each second unit time during the target period, and the calculation unit calculates the monetary effect based on the amount of power consumed for each first unit time, the estimated amount of power generated by the solar power generation facility for each second unit time, the electricity selling price, and the electricity purchasing price.

[0086] This makes it possible to calculate the monetary effect per unit time, and therefore, the monetary effect can be calculated according to the power consumption status of the facility.

[0087] (Invention 3) The calculation unit calculates self-consumption data including the self-consumption amount estimated to have been consumed in the facility and surplus power data including the surplus power estimated not to have been consumed in the facility for each third unit time in the target period based on the power consumption amount for each first unit time and the estimated power generation amount of the solar power generation equipment for each second unit time, and calculates the monetary effect amount based on the self-consumption data, the surplus power data, the electricity selling price, and the electricity purchasing price.

[0088] This makes it possible to calculate the amount of electricity self-consumption and the amount of electricity sold per unit time, allowing for more accurate calculation of the monetary benefit according to the electricity consumption situation of the facility.

[0089] (Invention 4) The calculation unit is the energy planning system 10 of Invention 3, which calculates, for each of the third unit hours, a first effective amount due to self-consumption in the third unit hour and a second effective amount due to selling electricity in the third unit hour, and calculates the effective amount for the target period by adding up the first effective amount and the second effective amount for each of the third unit hours.

[0090] As a result, the first effect amount and the second effect amount are calculated and added for each third unit time, so the effect amount can be calculated more accurately than when the effect amount is calculated using the amount of self-consumption for the entire target period, etc.

[0091] (Invention 5) In the energy planning system 10 according to invention 3 or 4, the calculation unit calculates the partial effect amount for each third unit time based on the following formula 1.

[0092] Partial benefit amount = (Actual power consumption - Estimated power generation by solar power generation facility) × Power purchase price + Estimated power sales amount × Power sales price Formula 1

[0093] This makes it possible to easily calculate a more accurate benefit amount using Equation 1.

[0094] (Invention 6) The energy planning system 10 of any of Inventions 2 to 5, wherein the first acquisition unit acquires sunlight data including the amount of sunlight per second unit time in the district to which the facility belongs, and the second acquisition unit acquires the estimated power generation data by calculating the amount of power generated by the solar power generation facility per second unit time based on information related to the amount of power generated by the solar power generation facility and the sunlight data.

[0095] This makes it possible to estimate the amount of power generated for each second unit time, thereby enabling more accurate calculation of the amount of power generated by the photovoltaic power generation facility.

[0096] (Invention 7) In the energy planning system 10 of any one of Inventions 1 to 6, the target period is a period designated by a user of the facility.

[0097] This makes it possible to calculate the benefit amount for the period specified by the facility user, and therefore it is possible to calculate the benefit amount excluding periods in which irregular power consumption occurred at the facility. The benefit amount calculated in this way can be a more accurate benefit amount for the facility. Note that periods in which irregular power consumption occurred include periods in which power consumption at the facility is expected to increase or decrease compared to normal times due to special reasons, such as a temporary increase or decrease in the number of visitors to the facility or the number of residents or users of the facility.

[0098] (Invention 8) The energy planning system 10 of any one of Inventions 1 to 7 further comprises a display unit that displays the cost of the effect calculated by the calculation unit.

[0099] This allows the cost of the benefit to be displayed to users of the facility.

[0100] (Invention 9) The energy planning system 10 of Invention 4 or 5 is characterized in that the effective amount includes a first effective amount due to self-consumption and a second effective amount due to selling electricity, and further comprises a display unit that displays each of the first effective amount and the second effective amount for the target period.

[0101] This allows the facility user to consider the amount of benefit from self-consumption and the amount of benefit from selling electricity, allowing the facility user to consider the amount of benefit from each when considering installing solar power generation equipment.

[0102] (Invention 10) This is an energy planning method for calculating the monetary effect of introducing solar power generation equipment into a facility, and the energy planning method includes obtaining power consumption data, which is the actual power consumption of the facility during a target period in the past, the electricity selling price, and the electricity purchasing price; obtaining estimated power generation data, which estimates the amount of power generated by the solar power generation equipment during the target period if the solar power generation equipment had been introduced into the facility; and calculating the monetary effect based on the power consumption data, the estimated power generation data, the electricity selling price, and the electricity purchasing price.

[0103] This provides the same effects as the energy planning system 10 described above.

[0104] (Invention 11) A program for causing a computer to execute the energy planning method of Invention 10.

[0105] This provides the same effects as the energy planning system 10 described above.

[0106] These general or specific aspects may be realized as a system, a method, an integrated circuit, a computer program, or a non-transitory recording medium such as a computer-readable CD-ROM, or as any combination of the system, method, integrated circuit, computer program, or recording medium. The program may be pre-stored in the recording medium, or may be supplied to the recording medium via a wide area communication network including the Internet.

[0107] (Other embodiments) The energy planning system 10 according to one or more aspects has been described above based on the embodiments, but the present invention is not limited to these embodiments. As long as it does not deviate from the spirit of the present invention, various modifications conceivable by those skilled in the art to the present embodiments and forms constructed by combining components of different embodiments may also be included in the present invention.

[0108] For example, the first unit time and the second unit time according to the above embodiment may be the same time as the target period. That is, the acquisition unit 110 may acquire the integrated power consumption data and solar radiation data for the target period. In this case, the monetary effect calculation unit 140 may calculate the monetary effect for the target period based on the power consumption data, the estimated power generation data, the power selling price, and the power selling price. This reduces the amount of processing required to calculate the monetary effect, thereby reducing the processing load on the energy planning server 100.

[0109] Furthermore, the effective monetary amount calculation unit 140 according to the above embodiment is not limited to using the above formula 1, and may calculate the effective monetary amount using other calculation formulas.

[0110] In the above embodiments, each component may be configured with dedicated hardware, or may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or processor reading and executing a software program recorded on a recording medium such as a hard disk or semiconductor memory.

[0111] The order in which the steps in the flowchart are executed is merely an example for specifically explaining the present invention, and an order other than the above may be used. Also, some of the steps may be executed simultaneously (in parallel) with other steps, or some of the steps may not be executed.

[0112] The division of functional blocks in the block diagram is an example, and multiple functional blocks may be realized as a single functional block, one functional block may be divided into multiple blocks, or some functions may be moved to another functional block.Furthermore, the functions of multiple functional blocks having similar functions may be processed in parallel or in time-sharing by a single piece of hardware or software.

[0113] Furthermore, the energy planning server 100 according to the above embodiment may be realized as a single device or may be realized by multiple devices. When the energy planning server 100 is realized by multiple devices, the components of the energy planning server 100 may be distributed among the multiple devices in any manner. When the energy planning server 100 is realized by multiple devices, the communication method between the multiple devices is not particularly limited, and may be wireless communication or wired communication. Furthermore, wireless communication and wired communication may be combined between the devices.

[0114] Furthermore, each component described in the above embodiments may be implemented as software or, typically, as an LSI, an integrated circuit. These components may be integrated individually on a single chip, or some or all of them may be integrated on a single chip. While LSI is used here, it may also be referred to as an IC, system LSI, super LSI, or ultra LSI depending on the level of integration. Furthermore, the integration method is not limited to LSI; it may be implemented using a dedicated circuit (a general-purpose circuit that executes a dedicated program) or a general-purpose processor. It is also possible to use a field programmable gate array (FPGA), which can be programmed after LSI fabrication, or a reconfigurable processor, which allows the connection or settings of circuit cells within an LSI to be reconfigured. Furthermore, if an integrated circuit technology that can replace LSI emerges due to advances in semiconductor technology or a derivative technology, that technology may naturally be used to integrate the components.

[0115] A system LSI is an ultra-multifunctional LSI manufactured by integrating multiple processing units on a single chip, and is specifically a computer system consisting of a microprocessor, ROM, RAM, etc. The ROM stores computer programs. The system LSI achieves its functions when the microprocessor operates in accordance with the computer programs.

[0116] Another aspect of the present invention may be a computer program that causes a computer to execute each of the characteristic steps included in the energy planning method shown in FIG.

[0117] Furthermore, for example, the program may be a program to be executed by a computer. Another aspect of the present invention may be a computer-readable non-transitory recording medium on which such a program is recorded. For example, such a program may be recorded on a recording medium and distributed or circulated. For example, the distributed program may be installed in a device having another processor, and the program may be executed by the processor, thereby causing the device to perform each of the above processes. [Explanation of symbols]

[0118] 10 Energy Planning System 20a, 20b, 20c Housing (Facilities) 31 Display (display unit) 110 Acquisition Department (1st Acquisition Department) 120 Estimation part (2nd acquisition part) 130 Power calculation unit (calculation unit) 140 Effectiveness Amount Calculation Department (Calculation Department)

Claims

1. An energy planning system that calculates the cost of introducing solar power generation equipment into a facility, a first acquisition unit that acquires power consumption data, which is actual power consumption data of the facility, a power selling price, and a power purchasing price, for a past target period; a second acquisition unit that acquires estimated power generation amount data that estimates the amount of power generated by the photovoltaic power generation facility if the photovoltaic power generation facility had been installed in the facility during the target period; a calculation unit that calculates the monetary benefit amount based on the power consumption data, the estimated power generation data, the power selling price, and the power purchasing price. Energy planning system.

2. the power consumption data includes a power consumption amount per first unit time during the target period; the estimated power generation amount data includes the power generation amount of the photovoltaic power generation facility per second unit time during the target period, The calculation unit calculates the monetary benefit amount based on the amount of power consumption per first unit time, the estimated amount of power generated by the photovoltaic power generation facility per second unit time, the unit price of selling electricity, and the unit price of purchasing electricity. The energy planning system of claim 1 .

3. The calculation unit calculates, for each third unit time in the target period, self-consumption data including the self-consumption amount estimated to have been consumed in the facility and surplus power data including surplus power estimated not to have been consumed in the facility, based on the power consumption amount for each first unit time and the estimated power generation amount of the photovoltaic power generation facility for each second unit time, and calculates the monetary benefit amount based on the self-consumption data, the surplus power data, the electricity selling price, and the electricity purchasing price. The energy planning system of claim 2 .

4. The calculation unit calculates, for each third unit time, a first benefit amount due to self-consumption in the third unit time and a second benefit amount due to selling of electricity in the third unit time, and calculates the benefit amount for the target period by adding up the first benefit amount and the second benefit amount for each third unit time. The energy planning system of claim 3 .

5. The calculation unit calculates a partial benefit amount for each third unit time based on the following formula 1: Partial benefit amount = (actual power consumption - estimated power generation of solar power generation equipment) x power purchase price + estimated amount of power sold x power sale price ... Formula 1 The energy planning system of claim 4.

6. the first acquisition unit acquires sunlight amount data including the amount of sunlight per second unit time in a district to which the facility belongs; The second acquisition unit acquires the estimated power generation amount data by calculating the power generation amount of the photovoltaic power generation facility for each second unit time based on information related to the power generation amount of the photovoltaic power generation facility and the insolation amount data. The energy planning system according to any one of claims 2 to 5.

7. The target period is a period designated by the user of the facility. The energy planning system according to any one of claims 1 to 5.

8. Further, a display unit that displays the benefit amount calculated by the calculation unit is provided. The energy planning system according to any one of claims 1 to 5.

9. The benefit amount includes a first benefit amount due to self-consumption and a second benefit amount due to selling of electricity, Further, a display unit for displaying the first benefit amount and the second benefit amount for the target period is provided.

6. An energy planning system according to claim 4 or 5.

10. An energy planning method for calculating the cost of benefits associated with introducing solar power generation equipment into a facility, Obtaining power consumption data, which is the actual power consumption of the facility, the power selling price, and the power purchasing price for the past target period; Obtaining estimated power generation data that estimates the amount of power generated by the solar power generation equipment during the target period assuming that the solar power generation equipment had been installed in the facility; The benefit amount is calculated based on the power consumption data, the estimated power generation data, the power selling price, and the power purchasing price. Energy planning methods.

11. A program for causing a computer to execute the energy planning method according to claim 10.

Citation Information

Patent Citations

  • Energy planning system

    JP2016081143A