Power transaction support system and power transaction support method

Abstract

An object of the present invention is to provide a power transaction support system and a power transaction support method capable of supporting decision-making of a procurement means of long-term renewable energy of a consumer and a facility capacity of renewable energy to be procured.SOLUTION: A power trading support system for supporting power trading of renewable energy includes a power demand scenario creation unit that creates a power demand scenario from past power demand, a procurement plan creation unit that creates a procurement plan from the power demand scenario and procurement conditions, and a renewable energy generation scenario creation unit for each procurement plan that creates a renewable energy generation scenario based on the procurement plan, an installation environment of a renewable energy generation facility, and past weather information. And a procurement plan-specific cost and procurement amount calculation unit that calculates ranges of the procurement plan-specific cost and renewable energy procurement amount on the basis of the power demand scenario and the renewable energy power generation scenario.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a system and a method for supporting electricity trading. [Background technology]

[0002] Consumers have a wide variety of means for procuring renewable energy (RE), including self-consumption of RE, self-consignment of RE, on-site power purchase agreements (PPA), physical PPA, virtual PPA, contracts for renewable energy-derived plans offered by electricity retailers, and purchasing the environmental value of RE.Some RE procurement methods have long capital investment payback periods and contract periods of 10 years or more, so consumers must consider their long-term supply and demand plans before deciding on the RE procurement method and the renewable energy facility capacity to be procured.

[0003] Patent Document 1 discloses an electric power planning and management system that minimizes the annual procurement costs of renewable energy by power wheeling via a power grid. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2020-201712 Summary of the Invention [Problem to be solved by the invention]

[0005] However, Patent Document 1 only describes the creation of an annual power supply and demand plan, and does not describe means for procuring renewable energy for a long period of more than one year, or how to determine the installed capacity of the renewable energy to be procured.

[0006] An object of the present invention is to provide an electricity trading support system and method that can support consumers in making decisions about long-term renewable energy procurement methods and renewable energy facility capacity to be procured, i.e., to support consumers in making economic decisions. [Means for solving the problem]

[0007] The electricity trading support system of the present invention is an electricity trading support system that supports renewable energy electricity trading, and is characterized by having an electricity demand scenario creation unit that creates an electricity demand scenario from past electricity demand, a procurement plan creation unit that creates a procurement plan from the electricity demand scenario and procurement conditions, a renewable energy power generation scenario creation unit for each procurement plan that creates a renewable energy power generation scenario based on the procurement plan, the installation environment of the renewable energy power generation equipment and past weather information, and a cost and procurement amount calculation unit for each procurement plan that calculates the cost and range of renewable energy procurement amount for each procurement plan based on the electricity demand scenario and the renewable energy power generation scenario.

[0008] Alternatively, the electricity trading support method of the present invention is a method for supporting electricity trading of renewable energy, characterized in that it includes an electricity demand scenario creation step of creating an electricity demand scenario from past electricity demand, a procurement plan creation step of creating a procurement plan from the electricity demand scenario and procurement conditions, a renewable energy power generation scenario creation step for each procurement plan of creating a renewable energy power generation scenario based on the procurement plan, the installation environment of the renewable energy power generation facility and past weather information, and a procurement quantity calculation step of calculating the cost and range of renewable energy procurement quantity for each procurement plan based on the electricity demand scenario and the renewable energy power generation scenario. [Effects of the Invention]

[0009] According to the present invention, it is possible to provide an electricity trading support system and an electricity trading support method that can support consumers in making decisions about long-term renewable energy procurement methods and renewable energy facility capacity to be procured, thereby supporting consumers in making economic decisions. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a diagram illustrating an example of the configuration of an energy trading support system according to a first embodiment. [Figure 2] 10 is a flowchart illustrating an example of a process for calculating costs and procurement amounts for each procurement plan according to the first embodiment. [Figure 3] FIG. 10 is a diagram showing an example of the contents of presentation of costs and procurement amounts for each procurement plan according to the first embodiment. [Figure 4] FIG. 10 is a diagram showing an example of a comparison of costs for each procurement plan according to the first embodiment. [Figure 5] FIG. 10 is a diagram showing an example of the configuration of an energy trading support system using an equipment planning system according to a second embodiment. [Figure 6] 10 is a flowchart showing an example of a process for calculating costs and procurement amounts for each procurement plan using an equipment plan according to a second embodiment. [Figure 7] FIG. 10 is a diagram illustrating an example of the configuration of an energy trading support system using uncertain facility plans according to a third embodiment. [Figure 8] 11 is a flowchart showing an example of a process for calculating costs and procurement amounts for each procurement plan using uncertain equipment plans according to a third embodiment. [Figure 9] FIG. 10 is a diagram showing an example of the configuration of an energy trading support system that takes into account prediction of fluctuations in electricity costs according to a fourth embodiment. [Figure 10] 10 is a flowchart illustrating an example of a process for calculating costs and procurement amounts for each procurement plan, taking into account predicted fluctuations in power costs, according to a fourth embodiment. [Figure 11] FIG. 10 is a diagram showing an example of the configuration of an energy trading support system that presents expected values ​​of costs and procurement amounts for each procurement plan according to a fifth embodiment. [Figure 12] 13 is a flowchart showing an example of a cost and procurement amount calculation process for each procurement plan that presents expected values ​​of the cost and procurement amount for each procurement plan according to the fifth embodiment. [Figure 13] FIG. 13 is a diagram showing an example of the contents of presentation of costs and procurement amounts for each procurement plan according to the fifth embodiment. [Figure 14] FIG. 13 is a diagram showing an example of a comparison of costs by procurement plan according to a fifth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, embodiments of the present invention will be described with reference to the drawings. However, the present invention is not limited thereto. Hereinafter, when necessary for convenience, the description will be divided into multiple drawings. However, unless otherwise specified, they are not unrelated to each other, and one is related to the other as a partial or complete modification, detail, supplementary explanation, etc. Furthermore, hereinafter, the number of elements (including the number, numerical value, amount, range, etc.) is not limited to a specific number, and may be more or less than a specific number, unless otherwise specified or when clearly limited in principle to a specific number. [Example]

[0012] 1 shows an example of the configuration of an energy trading support system according to Example 1. The energy trading support system 101 includes a data collection and registration unit 102, a storage unit 103, and a calculation unit 104. The calculation unit 104 also includes an electricity demand scenario creation unit 105, a procurement plan creation unit 106, a renewable energy power generation scenario creation unit 107 for each procurement plan, a cost and procurement amount calculation unit 108 for each procurement plan, and a cost and procurement amount presentation unit 109 for each procurement plan.

[0013] The data collection and registration unit 102 is an interface for inputting data into the energy trading support system 101. The input method may be, for example, manual input or setting, or acquisition from another system. The input data is registered in the storage unit 103. The input data includes data required to create an electricity demand scenario, data required to create a procurement plan, data required to create a renewable energy (renewable energy) power generation scenario for each procurement plan, and data required to calculate costs and procurement amounts for each procurement plan, and includes, for example, at least one of electricity demand information, procurement condition information, renewable energy power generation facility information, renewable energy power generation facility installation location information, weather information, design cost information, equipment cost information, installation cost information, electricity cost information, and information related thereto.

[0014] Electricity demand information includes past electricity demand records, future electricity demand forecasts, and equipment information on power-intensive equipment such as air conditioning equipment and electric furnaces. Procurement condition information includes the number of power receiving points, the number of power transmission points, how surplus electricity is utilized, and conditions for the transfer of environmental value only. Renewable energy power generation facility information includes the type of renewable energy power generation facility, power generation efficiency, facility capacity, etc.

[0015] Information on the installation location of renewable energy power generation equipment includes the place name and latitude of the site where the renewable energy power generation equipment will be installed, the direction and angle at which the renewable energy power generation equipment will be installed, seasonal shadows and wind conditions, etc. Weather information includes information on past weather performance and future weather forecast information. Design cost information includes project design costs, consulting costs, equipment capacity design costs, and equipment installation construction design costs. Equipment cost information includes the price of the renewable energy power generation equipment and the prices of ancillary equipment such as PCS (power conditioning systems) and storage batteries. Installation cost information includes land leveling costs and installation construction costs. Electricity cost information includes electricity retail price, electricity market price, environmental value price, electricity wheeling fee, renewable energy surcharge, imbalance fee, and commission.

[0016] The storage unit 103 stores the data registered by the data collection and registration unit 102 and the data calculated by the calculation unit 104. The storage unit 103 may have general functions that a database has, such as sorting data, automatically deleting old data, and restricting access.

[0017] The calculation unit 104 processes calculations performed by the energy trading support system 101, such as creating an electricity demand scenario, creating a procurement plan, creating a renewable energy power generation scenario, and calculating costs and procurement amounts for each procurement plan.

[0018] The power demand scenario creation unit 105 creates a power demand scenario from the power demand information. To create a power demand scenario, past power demand records, future power demand forecasts, and facility information on equipment that consumes a lot of power, such as air conditioning equipment and electric furnaces, are used. For example, using past power demand records from multiple years, one year's worth of power demand is defined as one scenario, and multiple years' worth of power demand is defined as multiple power demand scenarios. Here, the format of the power demand may be one scenario for one year at 30-minute intervals, one scenario for one representative day or multiple days, or one scenario for the average for one year.

[0019] In the procurement plan creation step, the procurement plan creation unit 106 creates a procurement plan from the power demand scenario and procurement conditions. The procurement plan is created using the power demand scenario and conditions such as the number of power receiving points, the number of power transmission points, the method of utilizing surplus power, and the transfer of environmental value only. For example, at least one renewable energy procurement method is determined from the procurement conditions, and at least one renewable energy facility capacity that matches or is less than the peak power demand, average power demand, and total power demand of the power demand scenario is determined. The procurement conditions may be set as required or optional, and if desired, renewable energy procurement methods that do not match the conditions may be included.

[0020] In the renewable energy power generation scenario creation step, the renewable energy power generation scenario creation unit 107 creates a renewable energy power generation scenario for each procurement plan. The renewable energy power generation scenario is created from the procurement plan, information on the renewable energy power generation equipment, information on the installation location of the renewable energy power generation equipment, and weather information. The renewable energy power generation scenario is created using the procurement plan, the type and power generation efficiency of the renewable energy power generation equipment, the latitude of the location where the renewable energy power generation equipment will be installed, the direction and angle at which the renewable energy power generation equipment will be installed, seasonal shadows and wind conditions, past weather information, and future weather forecasts.

[0021] For example, the type, capacity, and power generation efficiency of the renewable energy power generation facility in the procurement plan, the direction and angle at which the renewable energy power generation facility will be installed, and multiple years of past weather information are used to create the amount of power generation for each year at the location where the renewable energy power generation facility will be installed, and the amount of power generation created for one year is considered one scenario, with multiple years' worth of power generation being considered multiple renewable energy power generation scenarios.Here, the format of the amount of power generation may be one scenario for one year at 30-minute intervals, one scenario for one representative day or multiple days, or one scenario for the average for one year.

[0022] In the procurement amount calculation step, the cost and procurement amount calculation unit 108 for each procurement plan calculates the cost and procurement amount for each procurement plan. The cost and procurement amount for each procurement plan are calculated from the power demand scenario, renewable energy power generation scenario, design cost information, equipment cost information, installation cost information, and power cost information. The calculation of the cost and procurement amount for each procurement plan uses the power demand scenario, renewable energy power generation scenario, project design costs, consulting costs, equipment capacity design costs, equipment installation construction design costs, price of renewable energy power generation equipment, prices of ancillary equipment such as PCS and storage batteries, land leveling costs and installation construction costs, electricity retail price, electricity market price, environmental value price, electricity wheeling fee, renewable energy surcharge, imbalance fee, commission, etc.

[0023] For example, equipment costs are calculated from the type and capacity of the renewable energy power generation equipment in the procurement plan, the price of the renewable energy power generation equipment, and the prices of ancillary equipment such as PCS and storage batteries. Installation costs are calculated from the type and capacity of the renewable energy power generation equipment in the procurement plan, the equipment installation construction design costs, and the installation construction costs, and the initial cost is calculated from the equipment costs and installation costs. Furthermore, for example, the annual average cost, renewable energy procurement amount, and renewable energy rate are calculated from the renewable energy procurement means, surplus power utilization method, one power demand scenario, one renewable energy generation scenario, and power cost information in the procurement plan. Through this calculation, the cost and renewable energy procurement amount for one procurement plan are calculated as the number of power demand scenarios multiplied by the number of renewable energy generation scenarios, and the range of costs and renewable energy procurement amounts for each procurement plan is calculated.

[0024] The cost and procurement amount presentation unit 109 for each procurement plan presents the cost and procurement amount for each procurement plan. The cost and renewable energy procurement amount range for each procurement plan calculated in 108 are presented. The presentation method may be to display the information on a display, output it as audio, or present it via an API. The presented information includes information on the procurement plan and at least one of cost information and renewable energy procurement amount information. Cost information includes, for example, initial cost and annual average cost. Renewable energy procurement amount information includes, for example, renewable energy procurement amount and renewable energy rate.

[0025] FIG. 2 is a flowchart illustrating an example of a process for calculating costs and procurement amounts for each procurement plan according to the first embodiment. An example of the process of the calculation unit 104 in FIG. 1 will be described. First, START is performed, and in step S201, which is a power demand scenario creation step, a power demand scenario is created from past power demand. Using power demand records from multiple years at 30-minute intervals in the past, one year's worth of power demand is defined as one scenario, and multiple years' worth of power demand is defined as multiple power demand scenarios. For example, if there are three years' worth of power demand records, three power demand scenarios will be created.

[0026] In step S202, a procurement plan is created based on the power demand scenario and procurement conditions. Here, we will describe the case of solar power generation as an example. First, among the renewable energy procurement methods, those that meet the procurement conditions are selected as the procurement methods for the procurement plan. For example, when transmitting electricity to multiple locations, self-consignment of third-party owned models is excluded.

[0027] Next, using the installed capacity where the amount of power generation on sunny days is the same as the peak power of the power demand scenario as the base, 100%, 75%, and 50% of the base installed capacity are added to the installed capacity in the procurement plan. In this case, three installed capacities are added for each power demand scenario, so if there are three power demand scenarios, for example, nine installed capacities will be added. Finally, using the installed capacity where the total annual power generation is the same as the total power demand in the power demand scenario as the base, 100%, 75%, and 50% of the base installed capacity are added to the installed capacity in the procurement plan. In this case, three installed capacities are added for each power demand scenario, so if there are three power demand scenarios, for example, nine installed capacities will be added.

[0028] In step S203, a renewable energy power generation scenario is created based on the procurement plan, the installation environment of the renewable energy power generation facility, and past weather information. The type, capacity, and power generation efficiency of the renewable energy power generation facility in the procurement plan, the direction and angle at which the renewable energy power generation facility will be installed, and multiple years of past solar radiation records at 30-minute intervals are used to create the amount of power generation for each year at the location where the renewable energy power generation facility will be installed. The amount of power generation created for one year is considered one scenario, and multiple years' worth of power generation are considered multiple renewable energy power generation scenarios. For example, if there are three years' worth of solar radiation records, three renewable energy power generation scenarios will be created for one procurement plan.

[0029] In step S204, the cost and renewable energy procurement volume range for each procurement plan are calculated from the power demand scenario and renewable energy generation scenario. The costs are calculated as initial cost and annual average cost. The equipment cost is calculated from the type and capacity of the renewable energy power generation equipment in the procurement plan, the price of the renewable energy power generation equipment, and the prices of ancillary equipment such as PCS and storage batteries. The installation cost is calculated from the type and capacity of the renewable energy power generation equipment in the procurement plan, the equipment installation construction design cost, and the installation construction cost. The initial cost is calculated from the equipment cost and installation cost. The annual average cost is calculated from the renewable energy procurement means and surplus power utilization method in the procurement plan, one power demand scenario, one renewable energy generation scenario, and power cost information. In this way, calculating the cost and renewable energy procurement volume range for each procurement plan makes it possible to provide meaningful information to consumers.

[0030] This calculation allows the cost to be calculated for one procurement plan as the number of power demand scenarios multiplied by the number of renewable energy generation scenarios, and the cost range for each procurement plan to be calculated. The procurement amount is calculated by calculating the renewable energy procurement amount and renewable energy rate. The renewable energy procurement amount and renewable energy rate are calculated from the procurement plan's renewable energy procurement means, surplus power utilization method, one power demand scenario, one renewable energy generation scenario, and electricity cost information. This calculation allows the renewable energy procurement amount to be calculated for one procurement plan as the number of power demand scenarios multiplied by the number of renewable energy generation scenarios, and the range of renewable energy procurement amount for each procurement plan to be calculated.

[0031] FIG. 3 is a table showing an example of the presented content of costs and procurement amounts for each procurement plan according to the first embodiment. In the example of the presented content of costs and procurement amounts for each procurement plan in FIG. 3, a plan ID, procurement means, and facility capacity are presented as the procurement plan, an initial cost and an average annual cost are presented as the cost, and a renewable energy procurement amount and a renewable energy rate are presented as the renewable energy procurement amount. The plan ID is an identifier for identifying the procurement plan. In this way, by presenting the calculated range of costs and renewable energy procurement amounts for each procurement plan, meaningful information can be provided to consumers. In other words, consumers can compare and consider multiple long-term renewable energy procurement plans. This can support consumers in making decisions about renewable energy procurement means and the facility capacity of renewable energy to be procured.

[0032] Procurement methods are renewable energy procurement methods, such as self-consumption of renewable energy, self-consignment of renewable energy, on-site PPA, physical PPA, virtual PPA, contracting for a renewable energy-derived plan offered by an electricity retailer, purchasing the environmental value of renewable energy, etc. For initial costs, Figure 3 shows one price per procurement plan, but if there is a range of prices, for example, when the cost of equipment is undecided or there is a range in the start date of construction, it is acceptable to present a range.

[0033] For the annual average cost, if there are multiple calculation results, a range of the calculated annual average cost is presented; if there is only one calculation result, the calculated annual average cost is presented. Also, the costs included in the annual average cost may be changed. For the renewable energy procurement amount, if there are multiple calculation results, a range of the calculated renewable energy procurement amount is presented; if there is only one calculation result, the calculated renewable energy procurement amount is presented. For the renewable energy rate, if there are multiple calculation results, a range of the calculated renewable energy rate is presented; if there is only one calculation result, the calculated renewable energy rate is presented. In the example of the presented cost and procurement amount by procurement plan in Figure 3, the data is presented in a table, but the data format may be converted, for example, into JSON or CSV format, so that it can be obtained from an API.

[0034] FIG. 4 is a graph illustrating an example of a cost comparison by procurement plan according to the first embodiment. In the example of the cost comparison by procurement plan in FIG. 4, a plan ID is presented as the procurement plan, and the cost range for each number of years since the procurement plan was implemented, which is the sum of the initial cost and the average annual cost, is presented. The plan ID represents the same identifier as the plan ID in FIG. 3. In the example of the cost comparison by procurement plan in FIG. 4, only the plan ID is presented as the procurement plan, but other information, such as the procurement method and facility capacity, may also be presented. Costs by procurement plan are compared by presenting multiple plans. In the example of the cost comparison by procurement plan in FIG. 4, two plans are compared. The number of years elapsed may be changed as desired. In the example of the cost comparison by procurement plan in FIG. 4, the data is presented as a graph, but the data format may be converted, for example, into JSON format or CSV format, so that it can be acquired from an API.

[0035] It is also possible to present a combination of multiple plan IDs from Figures 3 and 4. This increases the number of options and allows for more appropriate decisions. In other words, it is possible to appropriately support consumers in making decisions regarding renewable energy procurement methods and the installed capacity of the renewable energy to be procured.

[0036] As described above, according to this embodiment, by presenting the range of costs and renewable energy procurement amounts for each renewable energy procurement plan, consumers can compare and consider renewable energy procurement plans, and be supported in making decisions about the renewable energy procurement means and the renewable energy facility capacity to be procured. In other words, it is possible to support consumers in making economic decisions. [Example]

[0037] Fig. 5 shows an example of the configuration of an energy trading support system using an investment plan according to a second embodiment. In the second embodiment, an energy trading support system using an investment plan to create an energy demand scenario according to the first embodiment will be described. The energy trading support system 501 includes a data collection and registration unit 502, a storage unit 503, a calculation unit 504, an energy demand scenario creation unit 505 using an investment plan, a procurement plan creation unit 506, a renewable energy power generation scenario creation unit 107 for each procurement plan, a cost and procurement amount calculation unit 508 for each procurement plan, and a cost and procurement amount presentation unit 509 for each procurement plan. The renewable energy power generation scenario creation unit 107 for each procurement plan is the same as that in Fig. 1, and therefore a description thereof will be omitted.

[0038] The data collection and registration unit 502 is an interface for inputting data into the energy trading support system 501. The input method may be, for example, manual input or setting, or acquisition from another system. The input data is registered in the storage unit 503. The input data includes facility planning information in addition to the data input into the data collection and registration unit 102 in FIG. 1. The facility planning information includes at least one of information such as the type of facility, power consumption, operating time, energy efficiency, and installation date.

[0039] The storage unit 503 stores the data registered by the data collection and registration unit 502 and the data calculated by the calculation unit 504. The storage unit 503 may have general functions that a database has, such as sorting data, automatically deleting old data, and restricting access. The calculation unit 504 processes calculations performed by the electricity trading support system 501, such as creating an electricity demand scenario using facility plans, creating a procurement plan, creating a renewable energy power generation scenario, and calculating costs and procurement amounts for each procurement plan.

[0040] The power demand scenario creation unit 505 using the facility plan creates a power demand scenario from the power demand information and corrects the power demand scenario using the facility plan. The power demand scenario is created using past power demand results, future power demand forecasts, and facility information on equipment with high power consumption such as air conditioning equipment and electric furnaces. For example, using the power demand results from multiple years in the past, one year's worth of power demand is defined as one scenario, and multiple years' worth of power demand is defined as multiple power demand scenarios.

[0041] Here, the format of the power demand can be one scenario for one year at 30-minute intervals, one scenario for one representative day or multiple days, or one scenario for the average for one year. The power demand scenario is corrected using factors such as the type of equipment, power consumption, operating hours, energy efficiency, and installation date. For example, if an air conditioning system with an annual energy consumption efficiency (APF) of 4.6 is replaced with one with an APF of 7.0, the portion of the power demand for the air conditioning system in the power demand scenario is corrected by multiplying it by 4.6 / 7.0. The power demand scenario can also be divided into multiple periods depending on the installation date of the equipment. For example, if an air conditioning system is replaced in 10 years, the power demand scenario can be divided into two: one for the first 9 years and one for the 10th year and beyond.

[0042] The procurement plan creation unit 506 creates a procurement plan based on the power demand scenario and procurement conditions. The procurement plan is created using the power demand scenario and conditions such as the number of power receiving points, the number of power transmission points, how surplus power is utilized, and the transfer of environmental value only. In addition to the procurement plan created by the procurement plan creation unit 106 in FIG. 1, a procurement plan may be created using power demand scenarios divided into multiple periods. For example, a procurement plan may be created based on the power demand scenario for the last period of the multiple periods, or based on the power demand scenario for the longest period of the multiple periods, or based on an average power demand scenario for the multiple periods, and a procurement plan may be created based on the created average power demand scenario.

[0043] The cost and procurement amount calculation unit 508 for each procurement plan calculates the cost and procurement amount for each procurement plan from the power demand scenario, renewable energy power generation scenario, design cost information, equipment cost information, installation cost information, and power cost information. In addition to the calculation of the cost and procurement amount for each procurement plan by the cost and procurement amount calculation unit 108 for each procurement plan in Fig. 1, calculation may also be performed using a power demand scenario divided into multiple periods. For example, the cost and procurement amount for each procurement plan for multiple periods may be calculated, and the average for the multiple periods may be calculated as the cost and procurement amount for each procurement plan, or the cost and procurement amount for each procurement plan for each multiple periods may be calculated.

[0044] The cost and procurement amount presentation unit 509 for each procurement plan presents the cost and range of renewable energy procurement amount for each procurement plan calculated by the procurement amount calculation unit 508. The presentation method may be to display on a display, output as audio, or present via an API. The presented information includes information on the procurement plan and at least one of cost information and information on the renewable energy procurement amount. The cost information includes, for example, the initial cost and the annual average cost. The renewable energy procurement amount information includes, for example, the renewable energy procurement amount and the renewable energy rate.

[0045] Fig. 6 is a flowchart showing an example of a process for calculating costs and procurement amounts for each procurement plan using an equipment plan according to Example 2. An example of the process of the calculation unit 504 in Fig. 5 will be described with reference to the flowchart in Fig. 6. Steps S201 and S203 are the same processes as those in Fig. 2, and therefore their description will be omitted.

[0046] In step 601, the power demand scenario is corrected using the equipment plan. When updating air conditioning equipment, the power demand portion of the power demand scenario is corrected by multiplying the energy efficiency before the update / the energy efficiency after the update. The power demand scenario before the air conditioning equipment is updated is separated into the power demand scenario before the air conditioning equipment is updated and the power demand scenario after the air conditioning equipment is updated.

[0047] In step S602, a procurement plan is created based on the power demand scenario and procurement conditions. Here, we will describe the case of solar power generation as an example. First, among the renewable energy procurement methods, those that meet the procurement conditions are selected as the procurement methods for the procurement plan. For example, when transmitting power to multiple locations, self-consignment of a third-party owned model is excluded.

[0048] Next, using the installed capacity where the amount of power generation on sunny days is the same as the peak power in the power demand scenario after the air conditioning equipment replacement as the base, 100%, 75%, and 50% of the base installed capacity are added to the installed capacity in the procurement plan. In this case, three installed capacities are added for each power demand scenario, so if there are three power demand scenarios, for example, nine installed capacities will be added. Finally, using the installed capacity where the total annual power generation is the same as the total power demand in the power demand scenario after the air conditioning equipment replacement as the base, 100%, 75%, and 50% of the base installed capacity are added to the installed capacity in the procurement plan. In this case, three installed capacities are added for each power demand scenario, so if there are three power demand scenarios, for example, nine installed capacities will be added.

[0049] In step S603, the cost and range of renewable energy procurement volume for each procurement plan are calculated from the power demand scenario and renewable energy generation scenario. The costs are calculated as initial cost and annual average cost. The equipment cost is calculated from the type and capacity of the renewable energy power generation equipment in the procurement plan, the price of the renewable energy power generation equipment, and the prices of ancillary equipment such as PCS and storage batteries. The installation cost is calculated from the type and capacity of the renewable energy power generation equipment in the procurement plan, the equipment installation construction design cost, and the installation construction cost. The initial cost is calculated from the equipment cost and installation cost. The annual average cost is calculated from the renewable energy procurement method and surplus power utilization method in the procurement plan, one power demand scenario, one renewable energy generation scenario, and power cost information. This calculation calculates the cost for one procurement plan by multiplying the number of power demand scenarios by the number of renewable energy generation scenarios, and calculates the cost range for each procurement plan. The procurement volume is calculated as the renewable energy procurement volume and renewable energy rate.

[0050] The amount of renewable energy procured and the renewable energy rate after air conditioning upgrades are calculated from the procurement plan's renewable energy procurement method, surplus power utilization method, one power demand scenario, one renewable energy generation scenario, and power cost information. This calculation calculates the amount of renewable energy procured for one procurement plan (the number of power demand scenarios multiplied by the number of renewable energy generation scenarios), and calculates the range of renewable energy procured for each procurement plan.

[0051] As described above, according to this embodiment, in addition to the effects of embodiment 1, by presenting the range of costs and renewable energy procurement amounts for each renewable energy procurement plan that reflects the equipment plans that have a significant impact on electricity demand, consumers can compare and consider more accurate renewable energy procurement plans that reflect the equipment plans, and can be assisted in making decisions about the means of procuring renewable energy and the installed capacity of the renewable energy to be procured. [Example]

[0052] 7 illustrates an example of the configuration of an energy trading support system using an uncertain facility plan according to Example 3. In Example 3, an energy trading support system using an uncertain facility plan to create an electricity demand scenario using the facility plan of Example 2 will be described.

[0053] The energy trading support system 701 includes a data collection and registration unit 702, a storage unit 703, a calculation unit 704, an electricity demand scenario creation unit 705 using uncertain facility plans, a procurement plan creation unit 506, a renewable energy power generation scenario creation unit 107 for each procurement plan, a cost and procurement amount calculation unit 508 for each procurement plan, and a cost and procurement amount presentation unit 509. The procurement plan creation unit 506, the renewable energy power generation scenario creation unit 107 for each procurement plan, the cost and procurement amount calculation unit 508 for each procurement plan, and the cost and procurement amount presentation unit 509 are the same as those in FIG. 5 , and therefore their explanation will be omitted.

[0054] The data collection and registration unit 702 is an interface for inputting data into the energy trading support system 701. The input method may be, for example, manual input or setting, or acquisition from another system. The input data is registered in the storage unit 703. The input data includes uncertain equipment plan information in addition to the data input into the data collection and registration unit 502 in FIG. 5. The uncertain equipment plan information includes uncertain information for at least one or more of information such as the type of equipment, power consumption, operating time, energy efficiency, and introduction timing, and the uncertain information includes multiple candidates. For example, the fifth, sixth, and seventh years after the implementation of the procurement plan are input and registered as candidates for the introduction timing.

[0055] The storage unit 703 stores the data registered by the data collection and registration unit 702 and the data calculated by the calculation unit 704. The storage unit 703 may have general functions that a database has, such as sorting data, automatically deleting old data, and restricting access. The calculation unit 704 processes calculations performed by the electricity trading support system 701, such as creating an electricity demand scenario using uncertain equipment plans, creating a procurement plan, creating a renewable energy power generation scenario, and calculating costs and procurement amounts for each procurement plan.

[0056] The power demand scenario creation unit 705 using uncertain equipment plans creates power demand scenarios from power demand information, corrects the power demand scenarios using confirmed equipment plans, and duplicates and corrects the power demand scenarios using unconfirmed equipment plans. To create the power demand scenarios, past power demand records, future power demand forecasts, and equipment information on high-power-consuming equipment such as air conditioning equipment and electric furnaces are used. For example, using past power demand records over several years, one year's worth of power demand is treated as one scenario, and multiple years are treated as multiple power demand scenarios.

[0057] Here, the format of the power demand may be such that one scenario represents one year's worth of power at 30-minute intervals, one scenario represents one representative day or multiple days, or one scenario represents the average for one year. The power demand scenario is corrected using factors such as the type of equipment, power consumption, operating hours, energy efficiency, and installation date. For example, if an air conditioning system with an annual energy consumption efficiency (APF) of 4.6 is changed to one with an APF of 7.0, the portion of the power demand for the air conditioning system in the power demand scenario is corrected by multiplying it by 4.6 / 7.0. The power demand scenario may also be divided into multiple periods depending on the installation date of the equipment.

[0058] For example, if air conditioning equipment is to be updated in 10 years, the power demand scenario can be divided into one for the first 9 years and one for the 10th year and beyond. Uncertain facility plans are used to duplicate and correct the power demand scenario. For example, if the fifth, sixth, and seventh years after the implementation of the procurement plan are registered as possible implementation dates, the power demand scenario can be duplicated into three, and corrections can be made for each scenario in which the equipment is updated in the fifth year, the sixth year, and the seventh year.

[0059] Fig. 8 is a flowchart showing an example of a process for calculating costs and procurement amounts for each procurement plan using an uncertain equipment plan according to the third embodiment. An example of the process of the calculation unit 704 in Fig. 7 will be described with reference to the flowchart in Fig. 8. Steps S201, S602, S203, and S603 are the same processes as those in Fig. 6, and therefore will not be described here.

[0060] In step S801, the power demand scenario is corrected using the confirmed equipment plan. When updating air conditioning equipment, the power demand portion of the power demand scenario is corrected by multiplying the energy efficiency before the update / the energy efficiency after the update. The power demand scenario before the air conditioning equipment is updated is separated from the power demand scenario after the air conditioning equipment is updated.

[0061] In step S802, the power demand scenario is corrected using the equipment plan that has not yet been finalized. If the candidate times for updating the lighting equipment are the fifth, sixth, and seventh years, the power demand scenario is duplicated three times, and corrections are made for each case where the lighting equipment is updated in the fifth year, the sixth year, and the seventh year.

[0062] As described above, according to this embodiment, in addition to the effects of embodiments 1 and 2, by presenting the range of costs and renewable energy procurement amounts for each renewable energy procurement plan that reflects the confirmed and unconfirmed contents of the equipment plans that have a significant impact on electricity demand, consumers can compare and consider renewable energy procurement plans with increased accuracy that reflect uncertain equipment plans, and can be assisted in making decisions regarding the means of procuring renewable energy and the installed capacity of the renewable energy to be procured. [Example]

[0063] 9 illustrates an example of the configuration of an energy trading support system that takes into account the prediction of fluctuations in power costs according to Example 4. In Example 4, an energy trading support system that takes into account the prediction of fluctuations in power costs in the calculation of costs and procurement amounts for each procurement plan according to Examples 1 to 3 will be described.

[0064] The energy trading support system 901 includes a data collection and registration unit 902, a storage unit 903, a calculation unit 904, an electricity demand scenario creation unit 105, a procurement plan creation unit 106, a renewable energy power generation scenario creation unit for each procurement plan 107, a cost and procurement amount calculation unit 908 for each procurement plan that takes into account predicted electricity cost fluctuations, and a cost and procurement amount presentation unit for each procurement plan 109. The electricity demand scenario creation unit 105, the procurement plan creation unit 106, the renewable energy power generation scenario creation unit for each procurement plan 107, and the cost and procurement amount presentation unit for each procurement plan 109 are the same as those in FIG. 1 and therefore will not be described here.

[0065] The data collection and registration unit 902 is an interface for inputting data into the energy trading support system 901. The input method may be, for example, manual input or setting, or acquisition from another system. The input data is registered in the storage unit 903. The input data includes electricity cost fluctuation prediction information in addition to the data input into the data collection and registration unit 102 in FIG. 1. The electricity cost fluctuation prediction information includes a fluctuation prediction for at least one or more pieces of electricity cost information such as the electricity retail price, electricity market price, environmental value price, electricity wheeling fee, renewable energy surcharge, imbalance fee, and commission, and the fluctuation prediction includes at least one or more candidates for the fluctuation time and fluctuation amount.

[0066] For example, as a forecast of fluctuations in the renewable energy surcharge, 3.49 yen / kWh, 4.49 yen / kWh, and 5.49 yen / kWh are entered and registered for the fourth year after the procurement plan is implemented. For the electricity cost fluctuation forecast information, information on confirmed fluctuations in electricity costs may be entered. If confirmed, there will be only one candidate.

[0067] The storage unit 903 stores the data registered by the data collection and registration unit 902 and the data calculated by the calculation unit 904. The storage unit 903 may have general functions that a database has, such as sorting data, automatically deleting old data, and restricting access.

[0068] The calculation unit 904 processes calculations performed by the electricity trading support system 901, such as creating electricity demand scenarios, creating procurement plans, creating renewable energy power generation scenarios, and calculating costs and procurement amounts for each procurement plan taking into account predicted electricity cost fluctuations.

[0069] The cost and procurement amount calculation unit 908 for each procurement plan that takes into account the power cost fluctuation forecast calculates the cost and procurement amount for each procurement plan from the power demand scenario, renewable energy power generation scenario, design cost information, equipment cost information, installation cost information, and power cost fluctuation forecast information. In addition to the calculation of the cost and procurement amount for each procurement plan by the cost and procurement amount calculation unit 108 for each procurement plan in Fig. 1, the calculation takes into account the power cost fluctuation forecast.

[0070] For example, if the predicted fluctuations in the renewable energy surcharge are 3.49 yen / kWh, 4.49 yen / kWh, and 5.49 yen / kWh in the fourth year after the procurement plan is implemented, the annual average cost is calculated if the renewable energy surcharge becomes 3.49 yen / kWh in the fourth year after the procurement plan is implemented, the annual average cost if it becomes 4.49 yen / kWh, and the annual average cost if it becomes 5.49 yen / kWh. This calculation calculates the cost and renewable energy procurement amount for one procurement plan as the number of power demand scenarios x the number of renewable energy generation scenarios x the number of electricity cost fluctuation prediction candidates, and calculates the range of cost and renewable energy procurement amount for each procurement plan.

[0071] Fig. 10 is a flowchart showing an example of a process for calculating costs and procurement amounts for each procurement plan taking into account a power cost fluctuation forecast according to the fourth embodiment of the present invention. An example of the process of the calculation unit 904 in Fig. 9 will be described with reference to the flowchart in Fig. 10. Steps S201, S202, and S203 are the same processes as those in Fig. 2, and therefore their description will be omitted.

[0072] In step S1001, the costs and range of renewable energy procurement volume for each procurement plan are calculated, taking into account predicted power cost fluctuations from the power demand scenario and renewable energy generation scenario. The costs are calculated as initial costs and average annual costs. The equipment costs are calculated from the type and capacity of the renewable energy power generation equipment in the procurement plan, the price of the renewable energy power generation equipment, and the prices of ancillary equipment such as PCS and storage batteries. The installation costs are calculated from the type and capacity of the renewable energy power generation equipment in the procurement plan, the equipment installation construction design costs, and the installation construction costs. The initial costs are calculated from the equipment costs and installation costs.

[0073] The annual average cost is calculated from the procurement plan's renewable energy procurement method, surplus power utilization method, one power demand scenario, one renewable energy generation scenario, and power cost information. At this time, the annual average cost is calculated reflecting each of the candidates for the power cost fluctuation forecast. For example, if there are three candidates for the power cost fluctuation forecast, the annual average cost is calculated reflecting each of the three candidates. This calculation calculates the cost for one procurement plan as the number of power demand scenarios x the number of renewable energy generation scenarios x the number of candidates for the power cost fluctuation forecast, and calculates the cost range for each procurement plan.

[0074] The procurement amount is calculated by calculating the renewable energy procurement amount and renewable energy rate. The renewable energy procurement amount and renewable energy rate are calculated from the procurement plan's renewable energy procurement means, surplus power utilization method, one power demand scenario, one renewable energy generation scenario, and power cost information. This calculation calculates the renewable energy procurement amount for one procurement plan equal to the number of power demand scenarios multiplied by the number of renewable energy generation scenarios, and calculates the range of renewable energy procurement amount for each procurement plan.

[0075] As described above, according to this embodiment, in addition to the effects of embodiments 1 to 3, consumers can compare and consider renewable energy procurement plans with improved accuracy by taking into account electricity cost fluctuation forecasts, thereby supporting consumers in making decisions about renewable energy procurement means and the installed capacity of renewable energy to be procured. [Example]

[0076] 11 illustrates an example of the configuration of an energy trading support system that presents expected values ​​of costs and procurement amounts for each procurement plan according to Example 5. In Example 5, an energy trading support system that presents expected values ​​of costs and procurement amounts for each procurement plan according to Examples 1 to 4 will be described.

[0077] The energy trading support system 1101 includes a data collection and registration unit 1102, a storage unit 1103, a calculation unit 1104, a probability-specific electricity demand scenario creation unit 1105, a procurement plan creation unit 106, a probability-specific renewable energy power generation scenario creation unit 1107 for each procurement plan, a cost and procurement amount expected value calculation unit 1108 for each procurement plan, and a cost and procurement amount expected value presentation unit 1109. The procurement plan creation unit 106 is the same as in Fig. 1, so a description thereof will be omitted.

[0078] The data collection and registration unit 1102 is an interface for inputting data into the energy trading support system 1101. The input method may be, for example, manual input or setting, or acquisition from another system. The input data is registered in the storage unit 1103. The input data includes probability information in addition to the data input into the data collection and registration unit 102 in FIG. 1. The probability information is data necessary for creating electricity demand scenarios by probability, creating renewable energy power generation scenarios by procurement plan by probability, and calculating expected values ​​for cost and procurement amount by procurement plan, and the probability of occurrence is added to each piece of information. Note that the probability is set to 100% if there are no multiple candidates, and if there are multiple candidates, the sum of the probabilities of each candidate is set to 100%.

[0079] The storage unit 1103 stores the data registered by the data collection and registration unit 1102 and the data calculated by the calculation unit 1104. The storage unit 1103 may have general functions that a database has, such as sorting data, automatically deleting old data, and restricting access. The calculation unit 1104 processes calculations performed by the energy trading support system 1101, such as creating electricity demand scenarios by probability, creating procurement plans, creating renewable energy power generation scenarios by probability, and calculating expected values ​​of costs and procurement amounts by procurement plan.

[0080] The probability-based power demand scenario creation unit 1105 creates power demand scenarios from power demand information. The power demand scenarios are created using past power demand records, future power demand forecasts, and facility information on high-power-consuming equipment such as air conditioning equipment and electric furnaces. For example, using past power demand records from multiple years, one year's worth of power demand is defined as one scenario, and multiple years' worth of power demand is defined as multiple power demand scenarios. The power demand format may be one year's worth at 30-minute intervals, one scenario for a representative day or multiple days, or one scenario for the average for one year.

[0081] Furthermore, the probability of each scenario occurring is calculated. For example, the probability may be set to be equal for all scenarios, or the closer the scenario is to the average of the multiple scenarios, the higher the probability, and the further away the scenario is, the lower the probability, or the closer the reflected power demand record among the multiple scenarios is to a period, the higher the probability, and the further away the period is, the lower the probability, or a probability may be added to each candidate for an equipment plan that has not yet been finalized, and that probability may be reflected in the probability of the scenario.

[0082] The renewable energy power generation scenario creation unit 1107 for each probability-based procurement plan creates a renewable energy power generation scenario from the procurement plan, information on the renewable energy power generation facility, information on the installation location of the renewable energy power generation facility, and weather information. The renewable energy power generation scenario is created using the procurement plan, the type and power generation efficiency of the renewable energy power generation facility, the latitude of the location where the renewable energy power generation facility will be installed, the direction and angle at which the renewable energy power generation facility will be installed, seasonal shadows and wind conditions, past weather information, and future weather forecasts.

[0083] For example, the type, capacity, and power generation efficiency of the renewable energy power generation equipment in the procurement plan, the direction and angle at which the renewable energy power generation equipment will be installed, and multiple years of past weather information are used to create the amount of power generation at the location where the renewable energy power generation equipment will be installed for each year.The created amount of power generation for one year is considered one scenario, and multiple years' worth of power generation are considered multiple renewable energy power generation scenarios.Here, the format of the amount of power generation may be one scenario for one year at 30-minute intervals, one scenario for one representative day or multiple days, or one scenario for the average for one year.Furthermore, the probability of each scenario occurring is calculated.The probability may be, for example, equal for all scenarios, or the closer the scenario is to the average of the multiple scenarios, the higher the probability, and the further away the scenario is, the lower the probability.

[0084] The expected value calculation unit 1108 for costs and procurement amounts by procurement plan calculates the costs and procurement amounts by procurement plan from the power demand scenario, renewable energy power generation scenario, design cost information, equipment cost information, installation cost information, and power cost information. The calculation of the costs and procurement amounts by procurement plan uses the power demand scenario, renewable energy power generation scenario, project design costs, consulting costs, equipment capacity design costs, equipment installation work design costs, price of renewable energy power generation equipment, prices of ancillary equipment such as PCS and storage batteries, land preparation costs and installation work costs, electricity retail price, electricity market price, environmental value price, electricity wheeling fee, renewable energy surcharge, imbalance fee, commission, etc.

[0085] For example, equipment costs are calculated from the type of renewable energy power generation equipment in the procurement plan, its capacity, the price of the renewable energy power generation equipment, and the prices of ancillary equipment such as PCS and storage batteries; installation costs are calculated from the type of renewable energy power generation equipment in the procurement plan, its capacity, the equipment installation construction design costs, and the installation construction costs; and initial costs are calculated from the equipment costs and installation costs.

[0086] Furthermore, for example, the annual average cost, renewable energy procurement amount, and renewable energy rate are calculated from the procurement plan's renewable energy procurement means, surplus power utilization method, one power demand scenario, one renewable energy generation scenario, and power cost information. The probability of the calculation result is calculated by multiplying the probability of the power demand scenario used in the calculation by the probability of the renewable energy generation scenario. This calculation calculates the cost and renewable energy procurement amount for one procurement plan (the number of power demand scenarios multiplied by the number of renewable energy generation scenarios), calculates the range of cost and renewable energy procurement amount for each procurement plan, and calculates the expected value using the probabilities. Furthermore, when taking into account power cost fluctuation forecasts, a probability may be added for each candidate in the power cost fluctuation forecast, and the expected value may be calculated by reflecting this probability in the calculation result.

[0087] The unit 1109 for presenting expected values ​​of costs and procurement amounts by procurement plan presents the range and expected values ​​of costs and renewable energy procurement amounts by procurement plan calculated by the unit 1108 for calculating expected values ​​of costs and procurement amounts by procurement plan. The presentation method may be to display on a display, output as audio, or present via an API. The presented information includes information on the procurement plan and at least one of cost information and information on the renewable energy procurement amount. The cost information includes, for example, initial cost and annual average cost. The information on the renewable energy procurement amount includes, for example, the renewable energy procurement amount and the renewable energy rate.

[0088] Fig. 12 is a flowchart showing an example of a cost and procurement amount calculation process for each procurement plan that presents expected values ​​of cost and procurement amount for each procurement plan according to the fifth embodiment of the present invention. An example of the process of the calculation unit 1104 in Fig. 11 will be described with reference to the flowchart in Fig. 12. Step S202 is the same process as in Fig. 2, so its description will be omitted.

[0089] In step S1201, power demand scenarios are created from past power demand. Using power demand records from multiple years at 30-minute intervals in the past, one year's worth of power demand is defined as one scenario, with multiple years' worth of power demand being used as multiple power demand scenarios. For example, if there are three years' worth of power demand records, three power demand scenarios will be created. In addition, the probability of the power demand scenario that reflects the most recent power demand record is set to 50%, and the probability of the remaining two power demand scenarios is set to 25%.

[0090] In step S1202, a renewable energy power generation scenario is created based on the procurement plan, installation environment, and past weather information. The type, capacity, and power generation efficiency of the renewable energy power generation equipment in the procurement plan, the direction and angle at which the renewable energy power generation equipment will be installed, and multiple years of historical solar radiation data at 30-minute intervals are used to create the amount of power generated at the location where the renewable energy power generation equipment will be installed for each year. One scenario is created for the amount of power generated for one year, and multiple years' worth of renewable energy power generation scenarios are created for each scenario. For example, if there are three years' worth of solar radiation data, three renewable energy power generation scenarios are created for one procurement plan. The probability of the renewable energy power generation scenario that reflects the most recent weather information is set to 50%, and the probability of the remaining two renewable energy power generation scenarios is set to 25%.

[0091] In step S1203, the costs and range and expected value of renewable energy procurement volume for each procurement plan are calculated based on the power demand scenarios by probability and the renewable energy generation scenarios by probability. The costs are calculated as initial costs and average annual costs. The equipment costs are calculated from the type and capacity of the renewable energy power generation equipment in the procurement plan, the price of the renewable energy power generation equipment, and the prices of ancillary equipment such as PCS and storage batteries. The installation costs are calculated from the type and capacity of the renewable energy power generation equipment in the procurement plan, the equipment installation construction design costs, and the installation construction costs. The initial costs are calculated from the equipment costs and installation costs.

[0092] The annual average cost is calculated from the procurement plan's renewable energy procurement method, surplus power utilization method, one power demand scenario, one renewable energy power generation scenario, and power cost information. At this time, the probability of the calculation result is obtained by multiplying the probability of the power demand scenario used in the calculation by the probability of the renewable energy power generation scenario. Through this calculation, the annual average cost is calculated for one procurement plan (the number of power demand scenarios multiplied by the number of renewable energy power generation scenarios), and the range of annual average cost for each procurement plan is calculated, and the expected value of the annual average cost is calculated using the probability. The renewable energy procurement amount and renewable energy rate are calculated from the procurement plan's renewable energy procurement method, surplus power utilization method, one power demand scenario, one renewable energy power generation scenario, and power cost information.

[0093] In this case, the probability of the calculation result is calculated by multiplying the probability of the electricity demand scenario used in the calculation by the probability of the renewable energy generation scenario.This calculation calculates the renewable energy procurement amount and renewable energy rate for one procurement plan by the number of electricity demand scenarios multiplied by the number of renewable energy generation scenarios, calculates the range of renewable energy procurement amount and renewable energy rate for each procurement plan, and uses the probability to calculate the expected value of the renewable energy procurement amount and renewable energy rate.

[0094] Fig. 13 is a table showing an example of the contents of presentation of costs and procurement amounts by procurement plan according to the fifth embodiment of the present invention. An example of information presented by the expected value presentation unit 1109 of costs and procurement amounts by procurement plan in Fig. 11 will be described with reference to the table in Fig. 13.

[0095] In an example of the cost and procurement volume display for each procurement plan shown in Figure 13, the procurement plan includes a plan ID, procurement method, and facility capacity; the cost includes an initial cost and an average annual cost; and the renewable energy procurement volume includes the renewable energy procurement volume and renewable energy rate. The plan ID is an identifier for identifying the procurement plan. The procurement method is a renewable energy procurement method, such as self-consumption of renewable energy, self-consignment of renewable energy, on-site PPA, physical PPA, virtual PPA, contracting for a renewable energy-derived plan offered by an electricity retailer, or purchasing the environmental value of renewable energy. Figure 13 shows one price for each procurement plan for the initial cost. However, if there is a range of prices, such as when the cost of equipment is undecided or there is a range of construction start dates, a range may be displayed, or the expected value may also be displayed.

[0096] For the annual average cost, if there are multiple calculation results, the range and expected value of the calculated annual average cost are presented; if there is only one calculation result, the calculated annual average cost is presented as the expected value. It is also possible to change which costs are included in the annual average cost. For the renewable energy procurement amount, if there are multiple calculation results, the range and expected value of the calculated renewable energy procurement amount are presented; if there is only one calculation result, the calculated renewable energy procurement amount is presented as the expected value. For the renewable energy rate, if there are multiple calculation results, the range and expected value of the calculated renewable energy rate are presented; if there is only one calculation result, the calculated renewable energy rate is presented as the expected value. In the example of the cost and procurement amount presented by procurement plan in Figure 13, the data is presented in a table; however, the data format can be converted, for example, into JSON or CSV format, so that it can be accessed via an API.

[0097] Fig. 14 is a table showing an example of the comparison of costs by procurement plan according to Example 5. An example of information presented by the expected value presentation unit 1109 of costs and procurement amounts by procurement plan in Fig. 11 will be described with reference to the graph in Fig. 14.

[0098] In the example of the cost comparison by procurement plan shown in Figure 14, the plan ID is presented as the procurement plan, and the cost range and expected value for each number of years after the procurement plan is implemented, which is the sum of the initial cost and the average annual cost, are presented. The plan ID represents the same identifier as the plan ID in Figure 13. In the example of the cost comparison by procurement plan shown in Figure 14, only the plan ID is presented as the procurement plan, but other information, such as the procurement method and equipment capacity, may also be added and presented. Costs by procurement plan are compared by presenting multiple plans. This example shows a comparison of two plans. The number of years elapsed to be displayed may be changed as desired. Furthermore, although the data is presented as a graph, it may be converted into a data format, such as JSON or CSV, and then retrieved via an API.

[0099] As described above, according to this embodiment, in addition to the effects of embodiments 1 to 4, by presenting the expected value for each renewable energy procurement plan, it becomes easier for consumers to compare renewable energy procurement plans, and it is possible to support consumers in making decisions regarding the means of procuring renewable energy and the installed capacity of the renewable energy to be procured. [Explanation of symbols]

[0100] 101...electricity trading support system, 102...data collection and registration unit, 103: storage unit, 104: calculation unit, 105: power demand scenario creation unit, 106... Procurement Plan Creation Department, 107... Renewable Energy Power Generation Scenario Creation Department for Each Procurement Plan, 108... Cost and procurement quantity calculation section by procurement plan, 109...Procurement Plan Cost and Procurement Quantity Presentation Section

Claims

1. In an electricity trading support system that supports renewable energy electricity trading, an electricity demand scenario creation unit that creates an electricity demand scenario based on past electricity demand; a procurement plan creation unit that creates a procurement plan based on the power demand scenario and procurement conditions; a renewable energy power generation scenario creation unit for each procurement plan that creates a renewable energy power generation scenario based on the procurement plan, the installation environment of the renewable energy power generation facility, and past weather information; An electricity trading support system comprising a procurement plan-specific cost and procurement amount calculation unit that calculates the cost and renewable energy procurement amount range for each procurement plan based on the electricity demand scenario and the renewable energy power generation scenario.

2. 2. The energy trading support system according to claim 1, An electricity trading support system comprising a procurement plan-specific cost and procurement amount presentation unit that presents the calculated costs and renewable energy procurement amount ranges for each procurement plan.

3. 2. The energy trading support system according to claim 1, The electricity trading support system is characterized in that the electricity demand scenario creation unit corrects the electricity demand scenario using an equipment plan.

4. 2. The energy trading support system according to claim 1, In the power demand scenario creation unit, correcting the power demand scenario using a confirmed facility plan; An electricity trading support system characterized by duplicating and correcting the electricity demand scenario using an unconfirmed facility plan.

5. 2. The energy trading support system according to claim 1, The electricity trading support system is characterized in that the cost and procurement quantity calculation unit for each procurement plan calculates the range of costs and renewable energy procurement quantities for each procurement plan, taking into account electricity cost fluctuation forecasts based on the electricity demand scenario and the renewable energy power generation scenario.

6. 2. The energy trading support system according to claim 1, the power demand scenario creation unit creates the power demand scenarios by probability from past power demands; The renewable energy power generation scenario creation unit creates the renewable energy power generation scenario by probability based on the procurement plan, the installation environment, and past weather information, An electricity trading support system characterized by calculating the range and expected value of costs and renewable energy procurement amounts for each procurement plan based on the electricity demand scenarios by probability and the renewable energy power generation scenarios by probability.

7. 2. The energy trading support system according to claim 1, The cost and procurement amount calculation unit for each procurement plan calculates a range of costs for each procurement plan for each number of years that have passed, An electricity trading support system characterized by having a cost and procurement amount presentation unit for each procurement plan that presents the calculated results.

8. 1. A method for supporting renewable energy power trading, comprising: an electricity demand scenario creation step of creating an electricity demand scenario from past electricity demand; a procurement plan creation step of creating a procurement plan based on the power demand scenario and procurement conditions; A renewable energy power generation scenario creation step for each procurement plan that creates a renewable energy power generation scenario based on the procurement plan, the installation environment of the renewable energy power generation facility, and past weather information; a step of calculating costs and procurement amounts for each procurement plan based on the electricity demand scenario and the renewable energy power generation scenario,

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