Information processing system and information processing method

Abstract

To support demand adjustment capable of dealing with sharp energy supply variation due to weather change.SOLUTION: An information processing system holds first meteorological information in each section of a plurality of areas, second local meteorological information in buildings included in each of the plurality of areas, building operation information showing an operation situation of a building, and city information showing the number of outflow persons in the plurality of areas, estimates an energy supply amount of each of the plurality of areas on the basis of the first meteorological information and the second meteorological information, estimates an energy demand amount in each of the plurality of areas on the basis of the first meteorological information, the second meteorological information, the building operation information, and the city information, and selects matching candidates of a supply source area and a supply destination area of energy on the basis of the estimated energy supply amount and energy demand amount.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to an information processing system and an information processing method.

Background Art

[0002] In recent years, system reforms have been progressing towards building a carbon-neutral society that substantially reduces CO2 emissions, which is an example of a major greenhouse gas. To reduce CO2 emissions, it is desirable to build a system for coordinating the fluctuations of variable renewable energy (VRE) such as solar power generation and wind power generation with energy demand.

[0003] As background art in this technical field, there is Japanese Unexamined Patent Application Publication No. 2016-063592 (Patent Document 1). This publication states that "in a power management system that connects a plurality of consumer facilities including a consumer facility equipped with a storage battery and a power generation device as electrical equipment to a common power line in a power management area and mutually lends surplus power among the consumer facilities, a surplus consumer extracting unit that extracts surplus consumers having surplus power, a deficit consumer extracting unit that extracts deficit consumers having deficit power, a surplus power distributing unit that distributes the selling power of each house of the surplus consumers to the purchasing power of each house of the deficit consumers, an image control unit that displays an image of the consumer facility indicating each consumer facility, and a power line image on a line indicating the lending of the surplus power distributed by the surplus power distributing unit is displayed from the consumer image of the surplus consumer towards the consumer image of the deficit consumer." (See the abstract).

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] The technology described in Patent Document 1 directly measures the power generation amount, power storage amount, and discharge amount of a building, and conducts power trading among buildings based on the measurement results. However, although there is a possibility of a rapid change in energy supply due to weather changes or the like, the technology described in Patent Document 1 does not consider weather information in power trading. Therefore, one aspect of the present invention supports supply-demand adjustment capable of coping with a rapid change in energy supply due to weather changes.

Means for Solving the Problems

[0006] In order to solve the above problems, one aspect of the present invention adopts the following configuration. An information processing system includes a processor and a memory. The memory holds first weather information indicating the weather of sections included in each of a plurality of areas, second weather information indicating the weather in a building included in each of the plurality of areas, which is weather in a more local range than the section, building operation information indicating the operation status of the building, and city information indicating the number of people flowing in and out of an area included in the plurality of areas. The processor estimates the energy supply amount in each of the plurality of areas based on the first weather information and the second weather information, estimates the energy demand amount in each of the plurality of areas based on the first weather information, the second weather information, the building operation information, and the city information, selects matching candidates for a supply source area and a supply destination area to which energy is supplied from the supply source area from the plurality of areas based on the estimated energy supply amount and the estimated energy demand amount, and generates data for displaying the matching candidates.

Effects of the Invention

[0007] According to one aspect of the present invention, it is possible to support supply-demand adjustment capable of coping with a rapid change in energy supply due to weather changes.

[0008] Problems, configurations, and effects other than those described above will be clarified by the description of the following embodiments.

Brief Description of the Drawings

[0009]

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Mode for Carrying Out the Invention

[0010] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. Note that the embodiments of the present disclosure are not limited to the embodiments described later, and various modifications are possible within the scope of the technical idea. In addition, the corresponding parts of each figure used in the description of each embodiment described later are denoted by the same reference numerals, and redundant descriptions are omitted.

[0011] In this embodiment, a regional energy coordination recommendation system will be described that takes into account the control devices of consumers in the area and the weather changes in each region in order to realize the supply-demand adjustment of variable renewable energy in a carbon-neutral society powered by renewable energy, and visualizes the situation.

[0012] In variable renewable energy, especially in photovoltaic power generation, the energy supply amount may rapidly decrease due to sudden changes in weather conditions in a narrow area. This decrease in the energy supply amount may cause a mismatch in the energy supply-demand balance. The changes in the energy supply amount in such a narrow area could not be fully analyzed by conventional mesh analysis of weather information.

[0013] On the other hand, a means called DR (Demand Response) is known for adjusting demand according to the energy supply of variable renewable energy. However, it is difficult to manage a plan for how much demand should be adjusted at what timing for variable renewable energy. Furthermore, it is not easy to estimate to what extent the degree of achievement can be ensured in DR.

[0014] Furthermore, especially in Japan, the population decline and the concentration of the population in urban areas are remarkable, and there is a high possibility that the national land structure will change according to this population decline and population concentration. In the prior art, in addition to daily DR, the response of energy supply-demand prediction to changes in the environment surrounding the region such as development acts and urban planning is not sufficient.

[0015] The regional energy cooperation recommendation system of this embodiment generates a display screen that proposes appropriate energy supply source regions and supply destination regions across regions when VRE becomes the main power source, enabling users such as power supply operators to appropriately select these regions.

[0016] Also, the regional energy cooperation recommendation system of this embodiment can more accurately estimate the energy supply amount when VRE becomes the main power source by calculating the energy supply amount using building meteorological sensors such as meteorological observation equipment for detecting the heat load of buildings installed in each area.

[0017] Also, the regional energy cooperation recommendation system of this embodiment can more accurately estimate the energy demand amount when VRE becomes the main power source by reflecting the situation changes in the area, such as urban planning projects and development acts, in the estimated energy demand amount.

Example

[0018] FIG. 1 is a block diagram showing a configuration example of a regional energy cooperation recommendation system. The regional energy cooperation recommendation system 100 is configured by, for example, a computer having a CPU (Central Processing Unit) 101, a memory 102, an auxiliary storage device 103, an input device 104, a display device 105, and a communication device 106.

[0019] The CPU 101 includes a processor and executes programs stored in the memory 102. The memory 102 includes a ROM (Read Only Memory), which is a non-volatile storage element, and a RAM (Random Access Memory), which is a volatile storage element. The ROM stores invariant programs (e.g., BIOS (Basic Input / Output System)). The RAM is a high-speed and volatile storage element such as a DRAM (Dynamic Random Access Memory) and temporarily stores programs executed by the CPU 101 and data used during program execution.

[0020] The auxiliary storage device 103 is a large-capacity and non-volatile storage device such as a magnetic storage device (HDD (Hard Disk Drive)) or a flash memory (SSD (Solid State Drive)), and stores programs executed by the CPU 101 and data used during program execution. That is, the program is read from the auxiliary storage device 103, loaded into the memory 102, and executed by the CPU 101.

[0021] The input device 104 is a device that receives input from an operator, such as a keyboard or a mouse. The display device 105 is a device that outputs the execution result of a program in a form visible to the operator, such as a display device or a printer.

[0022] The communication device 106 is a network interface device that controls communication with other devices according to a predetermined protocol. Also, the communication device 106 includes, for example, a serial interface such as USB (Universal Serial Bus).

[0023] Part or all of the programs executed by the CPU 101 may be provided to the regional energy cooperation recommendation system 100 via a network from a removable medium (such as a CD-ROM or a flash memory), which is a non-transitory storage medium, or an external computer equipped with a non-transitory storage device, and stored in the non-volatile auxiliary storage device 103, which is a non-transitory storage medium. Therefore, the regional energy cooperation recommendation system 100 may preferably have an interface for reading data from a removable medium.

[0024] The regional energy cooperation recommendation system 100 is a computer system configured on one physical computer or on a plurality of computers configured logically or physically, and may operate in separate threads on the same computer or may operate on a virtual computer constructed on a plurality of physical computer resources.

[0025] The CPU 101 includes an area supply estimation unit 111, an area demand estimation unit 112, an area coordination display unit 113, and an energy coordination planning unit 114, all of which are functional units. The area supply estimation unit 111 estimates the energy supply amounts by each of a plurality of areas. The area demand estimation unit 112 estimates the energy demand amounts for each of the plurality of areas.

[0026] Note that the plurality of areas are pre-divided (that is, the regions corresponding to each area are predetermined), and each area does not include overlapping regions. Also, it is assumed that energy can be transferred between any areas included in the plurality of areas.

[0027] The area coordination display unit 113 verifies the balance between the energy supply amount estimated by the area supply estimation unit 111 and the energy demand amount estimated by the area demand estimation unit 112, and selects areas for area coordination, that is, energy transfer. The energy coordination planning unit 114 formulates an energy coordination plan among the plurality of areas.

[0028] For example, the CPU 101 operates according to the area supply estimation program loaded in the memory 102 to function as the area supply estimation unit 111, and operates according to the area demand estimation program loaded in the memory 102 to function as the area demand estimation unit 112. The relationship between the program and the functional unit is the same for other functional units included in the CPU 101.

[0029] Note that part or all of the functions performed by the functional units shown in FIG. 1 may be realized by hardware such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field-Programmable Gate Array).

[0030] The auxiliary storage device 103 holds, for example, weather data 121, building weather sensor data 122, renewable energy DB (DataBase) 123, area weather DB 124, energy storage DB 125, smart meter data 126, building operation DB 127, urban planning DB 128, area estimated supply and demand DB 129, area selection DB 130, and energy cooperation DB 131.

[0031] The weather data 121, building weather sensor data 122, and energy storage DB 125 are used for the supply amount estimation by the area supply estimation unit 111 and the demand amount estimation by the area demand estimation unit 112. The renewable energy DB 123 and area weather DB 124 are used for the supply amount estimation by the area supply estimation unit 111. The smart meter data 126, building operation DB 127, and urban planning DB 128 are used for the demand amount estimation by the area demand estimation unit 112.

[0032] The weather data 121 (an example of the first weather information) is, for example, mesh data regarding the weather of each area, which is periodically collected from a weather information providing company or the like. The building weather sensor data 122 (an example of the second weather information) indicates information regarding the weather around the building, which is obtained by sensors installed on the rooftop, outer wall, inside, etc. of the building.

[0033] The renewable energy DB 123 indicates information regarding devices that generate renewable energy. In this embodiment, an example where renewable energy is generated by solar power generation using a PV (PhotoVoltaic) system installed in a building will be described. The area weather DB 124 is generated based on the weather information indicated by the weather data 121 and the building weather information indicated by the building weather sensor data 122, and indicates information regarding the weather of each area.

[0034] The energy storage DB 125 holds information indicating the state of energy storage in a building. In this embodiment, the energy storage DB 125 holds information indicating the remaining amount of the storage battery installed in the building. The regional energy cooperation recommendation system 100 periodically receives information indicating the remaining amount of each storage battery and updates the energy storage DB 125.

[0035] The smart meter data 126 holds information indicating the measurement data of the smart meter installed in the building. The regional energy cooperation recommendation system 100 periodically receives information indicating the power consumption in the building measured by each smart meter and updates the smart meter data 126.

[0036] The building operation DB 127 indicates information related to the operation of the building, such as the use (type) of the building, the structure of the building, and the operation schedule of the building. The urban planning DB 128 indicates information related to urban development planned in the area and urban operation in the area.

[0037] The area estimated supply and demand DB 129 indicates the estimated energy supply amount and estimated energy demand amount of each area at the target date and time. The area selection DB 130 indicates the matching result of energy supply and demand between areas at the target date and time. The energy cooperation DB 131 indicates the achievements of the energy cooperation plan among a plurality of areas.

[0038] In FIG. 1, some or all of the information stored in the auxiliary storage device 103 may be stored in the memory 102 or may be stored in an external database connected to the regional energy cooperation recommendation system 100.

[0039] Note that in this embodiment, the information used by the regional energy cooperation recommendation system 100 may be expressed in any data structure regardless of the data structure. For example, a data structure appropriately selected from a table, a list, a database, or a queue can store the information.

[0040] FIG. 2 is an explanatory diagram showing an example of data items of the meteorological data 121. The meteorological data 121 holds the values of the respective data items such as the outside air temperature, humidity, cloud amount, rainfall amount, and ground surface temperature, etc., as a time series of mesh data by a regional mesh or the like (that is, the mesh data is stored together with the date and time information). The value of each data item in the time series of the mesh data may include past actual values or may include predicted values based on weather forecasts or the like.

[0041] The meteorological data 121 may hold information indicating the measurement method of each data item. Also, since the meteorological data 121 is used for both the supply amount estimation by the area supply estimation unit 111 and the demand amount estimation by the area demand estimation unit 112, it further holds the usage of each data item (information indicating whether it is used for supply amount estimation or demand amount estimation).

[0042] Although not shown in the figure, the regional energy coordination recommendation system 100 holds information indicating the position of each section defined by the mesh of the meteorological data 121 (hereinafter, each of the sections is also referred to as a mesh section), and information indicating the position of each of the plurality of areas. Therefore, the regional energy coordination recommendation system 100 can identify the mesh sections included in each of the plurality of areas.

[0043] Also, although details will be described later, the building operation DB 127 holds information indicating the position of each building. Therefore, the regional energy coordination recommendation system 100 can identify the area in which each building is included and the mesh section in which each building is included.

[0044] FIG. 3 is an explanatory diagram showing an example of data items of the building meteorological sensor data 122. The building meteorological sensor data 122 holds the values of the respective data items related to the building meteorology obtained by sensors installed on the roof, outer wall, etc. of the building, and the data items related to the building facilities obtained by sensors installed inside the building, on the roof, outer wall, etc. of the building, respectively, as a time series for each building.

[0045] Data items related to building weather include, for example, the outside air temperature, humidity, solar radiation amount, air pressure, and rainfall around the building. Data items related to building facilities include, for example, the radiant temperature (of the outer wall of the building), the circulating water temperature, and the occupancy and human flow (inside the building). In particular, data items related to building weather include items that affect the building's envelope heat load and the like.

[0046] In addition, the building weather sensor data 122 may hold information indicating the measurement method for each data item. Also, since the building weather sensor data 122 is used for both the supply amount estimation by the area supply estimation unit 111 and the demand amount estimation by the area demand estimation unit 112, it further holds the usage of each data item (information indicating whether it is used for supply amount estimation or demand amount estimation).

[0047] FIG. 4 is an explanatory diagram showing an example of the data items in the area weather DB 124. The area weather DB 124 holds, for example, the values of each data item such as the outside air temperature, humidity, solar radiation amount, radiant temperature, ground surface temperature, cloud amount, air pressure, and rainfall as a time series for each area. Also, the area weather DB 124 may hold information indicating the measurement method for each data item.

[0048] The area weather DB 124 is data used for the supply amount estimation by the area supply estimation unit 111, and is generated based on, for example, the weather data 121 which is mesh data, and the building weather sensor data 122 which is data in a more local range than the section defined by the mesh of the mesh data. An example of the method by which the area supply estimation unit 111 generates the area weather DB 124 will be described later.

[0049] FIG. 5 is a diagram showing an example of the data configuration of the renewable energy DB 123. The renewable energy DB 123 indicates, for example, the PV ID of the PV system, the building ID of the building where the PV system is installed, the location (i.e., of the building) where the PV system is installed, the area ID of the area (i.e., to which the building belongs) where the PV system is installed, and the power generation capacity of the PV system.

[0050] FIG. 6 is a diagram showing an example of the data configuration of the energy storage DB 125. The energy storage DB 125 indicates, for example, the battery ID of the storage battery, the building ID of the building in which the storage battery is installed, the location (i.e., of the building) where the storage battery is installed, the area ID of the area (i.e., to which the building belongs) where the storage battery is installed, the remaining battery level of the storage battery, and the date and time when the remaining battery level was measured.

[0051] FIG. 7 is a diagram showing an example of the data configuration of the smart meter data 126. The smart meter data 126 indicates, for example, the smart meter ID of the smart meter, the building ID of the building in which the smart meter is installed, the location (i.e., of the building) where the smart meter is installed, the area ID of the area (i.e., to which the building belongs) where the smart meter is installed, the power consumption measured by the smart meter, and the date and time when the power consumption was measured.

[0052] FIG. 8 is a diagram showing an example of the data configuration of the building operation DB 127. The building operation DB 127 indicates, for example, the building ID of the building, the location of the building, the area ID of the area to which the building belongs, the use of the building, the structure of the building, and the operation schedule of the building. The use of the building includes, for example, housing, office buildings, stores, large-scale commercial facilities, and large-scale halls, etc. The structure of the building indicates, for example, the construction method and number of floors of the building, and the type of heating, ventilation, and air conditioning equipment the building has, etc. The operation schedule of the building indicates, for example, the events held in the building, and the date and time when the events are held, etc.

[0053] FIG. 9 is a diagram showing an example of the data configuration of the urban planning DB 128. The urban planning DB 128 holds information indicating, for example, the area ID of the target area of urban planning or urban operation, the outline of urban planning or urban operation, the target period of urban planning or urban operation, and the predicted inflow and outflow population of the area due to urban planning or urban operation.

[0054] As shown in the example of FIG. 9, the urban planning DB 128 holds information related to urban planning that affects long-term population inflows and outflows such as development acts, and urban operation that affects short-term population inflows and outflows such as daily commuting and going to school. In the column of the predicted inflow and outflow population in the example of FIG. 9, a positive value indicates the number of people flowing into the area, and a negative value indicates the number of people flowing out of the area.

[0055] Hereinafter, the area supply estimation process by the area supply estimation unit 111 and the area demand estimation process by the area demand estimation unit 112 will be described. In the area supply estimation process and the area demand estimation process, it is assumed that the supply amount and demand amount of each area at the target date and time specified by the user are calculated respectively.

[0056] Also, before the area supply estimation process and the area demand estimation process start, it is desirable that information is registered in the weather data 121, the building weather sensor data 122, the renewable energy DB 123, the energy storage DB 125, the smart meter data 126, the building operation DB 127, and the urban planning DB 128.

[0057] FIG. 10 is a flowchart showing an example of the area supply estimation process by the area supply estimation unit 111. The area supply estimation unit 111 refers to the mesh data indicated by the weather data 121 and the building weather sensor data 122 indicating more local weather information than the mesh data at the target date and time, and estimates the weather situation of each area at the target date and time, that is, generates the information of the area weather DB 124 (S1001).

[0058] A specific example of the process of step S1001 will be described. The area supply estimation unit 111 acquires the value at the target date and time of the data item including "supply" as the use from the weather data 121 and the building weather sensor data 122. When the value at the target date and time is not stored in the weather data 121 and the building weather sensor data 122, the area supply estimation unit 111 may acquire, for example, the latest value among the values in the same time zone (more preferably in the same season (month) and / or on the same day of the week) as the target date and time.

[0059] For each data item obtained from the weather data 121, for example, the area supply estimation unit 111 calculates the average value of the values of the data item for the mesh sections included in the area for each area. Further, the area supply estimation unit 111 may calculate the average value only for the mesh sections included in the blocks where buildings are concentrated in each area.

[0060] Note that, for example, the area supply estimation unit 111 may specify, with reference to the building location information in the building operation DB 127, the blocks where the number of buildings per unit area is equal to or greater than a predetermined value as the blocks where buildings are concentrated, or the location information of the blocks where buildings are concentrated may be given in advance. In this way, by using the information of the blocks where buildings are concentrated, the characteristics of the area can be reflected more accurately.

[0061] For each data item obtained from the building weather sensor data 122, for example, the area supply estimation unit 111 calculates the average value of the values of the data item for the buildings included in the area for each area. Further, the area supply estimation unit 111 may calculate the average value only for the buildings included in the blocks where buildings are concentrated in each area.

[0062] For data items included in the weather data 121 and not included in the building weather sensor data 122, the area supply estimation unit 111 stores the average value of the values of the data item for each area calculated from the above-described weather data 121 as the value of the data item for each area at the target date and time in the area weather DB 124.

[0063] For data items not included in the weather data 121 and included in the building weather sensor data 122, the area supply estimation unit 111 stores the average value of the values of the data item for each area calculated from the above-described building weather sensor data 122 as the value of the data item for each area at the target date and time in the area weather DB 124.

[0064] The area supply estimation unit 111 calculates, for example, for each area, a weighted average value with a predetermined weight of the average value of the value of the data item calculated from the above-described weather data 121 and the average value of the value of the data item for each area calculated from the above-described building weather sensor data 122, for the data items included in the weather data 121 and the building weather sensor data 122.

[0065] The area supply estimation unit 111 stores, in the area weather DB 124, the weighted average value of the value of the data item for each area as the value of the data item for each area at the target date and time. Note that, also for the data items included in the weather data 121 and the building weather sensor data 122, similar to the data items not included in the weather data 121 and included in the building weather sensor data 122, the average value of the value of the data item for each area calculated from the above-described building weather sensor data 122 may be stored in the area weather DB 124 as the value of the data item for each area at the target date and time.

[0066] In this way, by reflecting the building weather sensor data 122 indicating information in a more local range with respect to the weather data 121 as mesh data and generating the area weather DB 124, it is possible to estimate the weather situation more accurately reflecting the characteristics of each area. Note that, instead of the average value of the value of the data item in the above-described example, a predetermined statistic such as the mode value of the value of the data item may be calculated.

[0067] The area supply estimation unit 111 estimates the solar power generation amount at the target date and time for each area with reference to the weather situation of each area estimated in step S1001 and the renewable energy DB 123 (S1002).

[0068] A specific example of the process of step S1002 will be described. The area supply estimation unit 111, for example, for each area, refers to the renewable energy DB 123 to acquire information on the PVs installed in each building in the area.

[0069] For example, for each area, the area power supply estimation unit 111 calculates the photovoltaic power generation amount in each building in each area by multiplying the power generation capacity of the PV installed in each building in the area by the solar irradiance at the target date and time of the area indicated by the area weather DB 124. Further, the area power supply estimation unit 111 estimates the photovoltaic power generation amount in each area by calculating the sum of the photovoltaic power generation amounts of the buildings for each area.

[0070] Also, for example, the area power supply estimation unit 111 may reflect the value of another predetermined data item different from the solar irradiance in the area weather DB 124 in the estimated value of the photovoltaic power generation amount by adding the value obtained by substituting the value of the other predetermined data item into a predetermined function to the solar irradiance.

[0071] The area power supply estimation unit 111 estimates the energy storage amount in each area at the target date and time with reference to the energy storage DB 125 (S1003). Specifically, for example, the area power supply estimation unit 111 estimates the sum of the remaining battery amounts at the target date and time in the buildings in the area indicated by the energy storage DB 125 as the energy storage amount in the area. When the value at the target date and time is not stored in the energy storage DB 125, the area power supply estimation unit 111 may, for example, acquire the latest value among the values in the same time zone (more preferably, in the same season (month) and / or on the same day of the week) as the target date and time.

[0072] The area power supply estimation unit 111 estimates the energy supply amount in each area at the target date and time by calculating the sum of the photovoltaic power generation amount estimated in step S1002 and the energy storage amount estimated in step S1003 for each area (S1004). The area power supply estimation unit 111 stores the estimated energy supply amount for each area in the area estimated supply and demand DB 129.

[0073] Note that the area supply estimation unit 111 may also calculate the estimated energy supply amount for each building by calculating the sum of the solar power generation amount of the building calculated in step S1002 and the remaining battery amount in the building acquired in step S1003 for each building, and store it in the area estimated supply and demand DB 129.

[0074] FIG. 11 is a flowchart showing an example of the area demand estimation process by the area demand estimation unit 112. The area demand estimation unit 112 estimates the energy demand amount of each building in each area at the target date and time based on the weather data 121, the building weather sensor data 122, the smart meter data 126, and the building operation DB 127 (S1101).

[0075] A specific example of the process of step S1101 will be described. The area demand estimation unit 112 acquires the value at the target date and time of the data item including "demand" as the use from the weather data 121 and the building weather sensor data 122. If the value at the target date and time is not stored in the weather data 121 and the building weather sensor data 122, the area supply estimation unit 111 may acquire, for example, the latest value among the values in the same time zone (more preferably in the same season (month) and / or on the same day of the week) as the target date and time.

[0076] For each building, the area demand estimation unit 112 calculates, as the energy demand amount based on the weather factors of the building, the value obtained by substituting the value of the data item of the mesh section to which the building belongs acquired from the weather data 121 and the value of the data item of the building acquired from the building weather sensor data 122 into a predetermined function. For example, it is preferable that the predetermined function is defined so that the energy demand amount increases as the outside air temperature deviates from a predetermined value, the energy demand amount increases as the humidity deviates from a predetermined value, the energy demand amount increases as the radiant temperature deviates from a predetermined value, and the energy demand amount increases as the presence and flow of people increase.

[0077] The building weather sensor data 122 includes information on the radiant temperature of the outer wall of the building as described above. By using the radiant temperature in calculating the energy demand, the area demand estimation unit 112 can reflect in the energy demand the local changes such as building wind and the influence of radiant heat in the area such as the heat island phenomenon. Further, by reflecting the different radiant temperatures, solar radiation conditions, etc. for each building in the weather data 121 which is mesh data, it is possible to more accurately estimate the different energy demands due to building wind and radiant heat, etc. caused by the heat storage effect of the building outer wall even within the same area.

[0078] The area demand estimation unit 112 acquires the power consumption amount at the same time zone as the target date and time for each building from the smart meter data 126 (it may be limited to the same time zone in the same season (month) and / or on the same day of the week as the target date and time), and calculates the average power consumption amount at the same time zone for each building as the energy demand amount based on the energy consumption record of each building.

[0079] The area demand estimation unit 112 acquires the use and structure of each building from the building operation DB 127, and further acquires information on the events occurring at the target date and time from the operation schedule of each building. It is assumed that, for each use, structure, and event of the building, for example, an energy demand amount is pre-associated. For example, for "office" which is an example of use, an energy demand amount higher than that of "residence" which is an example of use and lower than that of "large hall" which is an example of use is associated, etc.

[0080] Note that the energy demand amounts pre-associated with each of the use, structure, and event of the building may differ depending on the season (month), day of the week, and time zone. Specifically, for example, for the use "office", a higher energy demand amount is associated with the daytime time zone on weekdays than with other time zones.

[0081] The area demand estimation unit 112 calculates, for example, for each building, the sum of the energy demands associated with the use, structure, and events occurring at the target date and time, as the energy demand based on the operation factors of the building.

[0082] By using the operation information of the buildings shown in the building operation DB 127, the area demand estimation unit 112 can reflect factors such as the office being in operation on weekdays and the large hall being in operation on certain days, where the energy consumption varies significantly, in the energy demand.

[0083] The area demand estimation unit 112 estimates, for example, for each building, the energy demand at the target date and time by calculating the weighted sum of the energy demand based on meteorological factors, the energy demand based on the actual energy consumption, and the energy demand based on operation factors, with predetermined weights.

[0084] Subsequently, the area demand estimation unit 112 calculates, as the estimated energy demand for each area, the sum of the energy demands of each building estimated in step S1101 for each area (S1102).

[0085] The area demand estimation unit 112 reflects the increase or decrease in the energy demand due to the urban planning and urban operation of each area at the target date and time shown in the urban planning DB 128 in the estimated energy demand for each area calculated in step S1102 (S1103).

[0086] A specific example of step S1103 will be described. For each area, the area demand estimation unit 112 calculates the total value of the predicted inflow and outflow population of the urban plan and urban operation corresponding to the target date and time from the urban planning DB128. For each area, the area demand estimation unit 112 adds a value obtained by multiplying the total value of the predicted inflow and outflow population by a predetermined coefficient (for example, a positive coefficient (that is, the demand decreases as the outflow population increases, and the demand increases as the inflow population increases)) to the estimated energy demand calculated in step S1102, thereby reflecting the increase or decrease in energy demand due to urban planning and urban operation.

[0087] In this way, by using information related to urban operations such as traffic volume between areas and boarding and alighting of public transportation, the area demand estimation unit 112 can take into account the impact of urban operations on short-term human flow in demand estimation. In addition, by using information related to urban planning such as population dynamics, development activities, road widening, sidewalk improvement, and urban planning classification of the area, the area demand estimation unit 112 can take into account the impact of urban planning on long-term human flow in demand estimation.

[0088] It has been conventionally pointed out that urban planning such as changes in urban development affects traffic volume and human flow, but it has been necessary and time-consuming to measure human flow such as through person trip surveys. In this embodiment, for example, by accumulating the correlation between energy demand changes and urban planning, it becomes possible to obtain the relationship between urban planning and energy demand from the perspective of energy demand at an early stage.

[0089] Subsequently, the area demand estimation unit 112 reflects the decrease in energy demand due to the energy storage amount (battery remaining amount) at the target date and time indicated by the energy storage DB125 in the estimated energy demand of each area calculated in step S1103 (S1104).

[0090] Specifically, for example, the area demand estimation unit 112 adds, for each area, the total remaining battery amount at the target date and time in the buildings in the area indicated by the energy storage DB 125 to the estimated energy demand amount of the area calculated in step S1103. If the value at the target date and time is not stored in the energy storage DB 125, the area supply estimation unit 111 may, for example, acquire the latest value among the values (preferably in the same time zone, and further in the same season (month) and / or on the same day of the week) of the target date and time. It is also acceptable.

[0091] Note that the energy storage DB 125 may further include information on energy supply sources different from the batteries installed in buildings, such as the power storage status of stationary batteries (installed outside buildings) in each area and the parking status of electric vehicles in each area. In this case, in steps S1003 and S1104, the energy storage amount by these energy supply sources may also be considered.

[0092] Note that in the above example, the energy storage amount is considered in both the area supply estimation process and the area demand estimation process, but the energy storage amount may be considered in only one of the area supply estimation process and the area demand estimation process. Specifically, although the process of step S1104 is performed, the process of step S1003 may be omitted, and the energy storage amount may not be considered in step S1004. Also, although the above-described processes of steps S1003 and S1004 are performed, the process of step S1104 may not be performed.

[0093] Note that the area demand estimation unit 112 stores the estimated energy demand amount of each area calculated in step S1104 in the area estimated supply and demand DB 129. Also, the area demand estimation unit 112 may further store the estimated energy demand amount for each building calculated in step S1101 in the area estimated supply and demand DB 129.

[0094] FIG. 12 is a diagram showing an example of the data configuration of the area estimated supply and demand DB 129. The area estimated supply and demand DB 129 holds, for example, the estimated energy supply amount and the estimated energy demand amount for each area at the target date and time, which are calculated by the area supply estimation process and the area demand estimation process. Further, as shown in the example of FIG. 12, the area estimated supply and demand DB 129 may further hold the estimated energy supply amount and the estimated energy demand amount for each building in each area at the target date and time, which are calculated by the area supply estimation process and the area demand estimation process.

[0095] Further, as shown in the example of FIG. 12, the area estimated supply and demand DB 129 may further hold the difference obtained by subtracting the estimated energy demand amount from the estimated energy supply amount for each area and for each building at the target date and time.

[0096] Note that, for example, there may be a case where the value obtained by summing the estimated values of each building shown in the area estimated supply and demand DB 129 does not match the value stored as the area total in the area estimated supply and demand DB 129, such that the energy demand amount for each area is obtained by summing the energy demand amounts for each building calculated in step S1101 and then further correcting the sum based on urban planning, urban operation, energy storage status, etc. in steps S1103 and S1104.

[0097] FIG. 13 is a diagram showing an example of the screen configuration of the recommendation screen. The recommendation screen 1300 is displayed on the display device 105 by the area cooperation display unit 113. The recommendation screen 1300 includes, for example, an area supply and demand status display area 1310 and a matching plan display area 1320.

[0098] In the area supply and demand status display area 1310, information regarding the estimated energy supply and demand for each area at the target date and time is displayed. In the area supply and demand status display area 1310, for example, a map 1311 of each area is displayed, and buildings existing in each area may be displayed on the map 1311.

[0099] In addition, the area supply and demand status display area 1310 includes, for example, the estimated supply and demand status display areas 1312 for each area. In the example of FIG. 12, in the estimated supply and demand status display area 1312, the difference obtained by subtracting the estimated energy demand from the estimated energy supply amount indicated by the area estimated supply and demand DB 129 for each area is displayed. However, the estimated energy supply amount, estimated energy demand amount for each area, the number of buildings existing in each area (which may be the number of buildings for each use), etc. may be further displayed.

[0100] Also, when a building on the map 1311 is selected, the energy supply amount, energy demand amount, and / or the difference obtained by subtracting the energy demand from the energy supply amount corresponding to the building in the area estimated supply and demand DB 129 may be displayed.

[0101] Also, on the map 1311, only the areas (the area with area ID "A001") where the difference obtained by subtracting the estimated energy demand from the estimated energy supply amount is a positive value are filled with dots and displayed.

[0102] The area coordination display unit 113 determines, for example, an area where the difference obtained by subtracting the estimated energy demand from the estimated energy supply amount is a positive value as a supply source area (an area that can supply energy to other areas because the supply exceeds the demand), and determines an area where the difference is a negative value as a supply destination area (an area that desirably receives energy supply from other areas because the supply is insufficient for the demand).

[0103] In addition, when areas that can become supply source areas are predetermined, the area coordination display unit 113 determines, among the predetermined areas, an area where the difference is a positive value as a supply source area. Also, when areas that can become supply destination areas are predetermined, the area coordination display unit 113 determines, among the predetermined areas, an area where the difference is a negative value as a supply destination area.

[0104] The area coordination display unit 113 generates and recommends a matching plan for supplying energy from a supply source area to a supply destination area, for example, to improve the shortage of demand in the supply destination area. One supply source area and one supply destination area may be matched, or one supply source area and a plurality of supply destination areas may be matched, or a plurality of supply source areas and one supply destination area may be matched.

[0105] In addition, in the map 1311, the areas connected by double arrows indicate the areas where matching is possible. That is, in the example of FIG. 13, the area with the area ID of "A001" as the supply source area can be matched with the areas with the area IDs of "A002", "A003", "A004", and "A005" as the supply destination areas, respectively.

[0106] When the area supply and demand situation display area 1310 is displayed, the user (for example, a power transmission and distribution operator, a general operator operating a microgrid, or an aggregator responsible for energy supply and demand adjustment, etc.) can select the areas to be matched while taking into account the supply scale, demand scale, and total number of buildings to be coordinated for each area or building. In addition, the area coordination display unit 113 may directly display some or all of the information in the area estimated supply and demand DB 129 at the target date and time in the area supply and demand situation display area 1310.

[0107] In the matching plan display area 1320, the matching plan generated by the area coordination display unit 113 is displayed. The matching plan indicates from which supply source area to which supply destination area and how much energy is supplied. In addition, for each matching plan, for example, an adoption button and an edit button are provided. When the adoption button is selected, the corresponding matching plan is adopted. When the edit button is selected, the user can edit the corresponding matching plan and then adopt the edited matching plan.

[0108] The area cooperation display unit 113 stores the adopted matching plan in the area selection DB 130 as a matching result. In the area selection DB 130, for example, information similar to the table shown in the matching plan display area 1320 is stored together with the target date and time. Note that in the matching plan display area 1320, the difference between the supply amount and the demand amount in each supply source area and each supply destination area when the supply according to the matching plan is implemented may be further displayed, or the difference may be further stored in the area selection DB 130.

[0109] A specific example of the method for generating a matching plan by the area cooperation display unit 113 will be described. When the area cooperation display unit 113 determines that the total excess amount obtained by subtracting the demand energy amount from the supply energy amount in the supply source area is greater than the total shortage amount obtained by subtracting the supply energy amount from the demand energy amount in the supply destination area (that is, the supply amount is greater than the demand amount as a whole for a plurality of areas), for example, the difference obtained by subtracting the demand energy amount from the supply energy amount in all areas becomes 0 or more, and the difference in all areas falls within a predetermined range (for example, the excess amounts in all areas become the same value), the combination of the supply source area and the supply destination area in the matching plan, and the supply amount from the supply source area to the supply destination area in the combination are determined.

[0110] In addition, when the area cooperation display unit 113 determines that the total excess amount in the supply source area is smaller than the total shortage amount in the supply destination area (that is, the supply amount is smaller than the demand amount as a whole for a plurality of areas), for example, according to a predetermined rule indicating the priority order, the combination of the supply source area and the supply destination area in the matching plan, and the supply amount from the supply source area to the supply destination area in the combination are determined.

[0111] As an example of the predetermined rule, the area coordination display unit 113 generates a matching plan that prioritizes the areas among the supply areas that have major consumers. Specifically, for example, the area coordination display unit 113 refers to the area estimated supply and demand DB 129 to identify major consumers in each area. The area coordination display unit 113 may determine that a building with a change amount of demand per unit time equal to or greater than a predetermined value in each supply area is a major consumer in the supply area, or may determine that a building with an energy demand amount equal to or greater than a predetermined value is a major consumer in the supply area.

[0112] When the area coordination display unit 113 determines that the total excess amount in the supply source area can cover the total shortage amount in the supply destination area having major consumers, for example, it determines the combination of the supply source area and the supply destination area, and the supply amount from the supply source area to the supply destination area in the combination so that the excess amount of each supply source area and each major demand destination becomes 0 or more. Then, the area coordination display unit 113 may evenly distribute the remaining excess amount in the supply source area to, for example, the supply destination areas having no major consumers, or may distribute it so that the number of supply destination areas having no major consumers with an excess amount of 0 or more is maximized.

[0113] Also, when the area coordination display unit 113 determines that the total excess amount in the supply source area cannot cover the total shortage amount in the supply destination area having major consumers, for example, it determines the combination of the supply source area and the supply destination area, and the supply amount from the supply source area to the supply destination area in the combination so that the excess amount becomes 0 or more in order from the supply destination area having major consumers with higher demand (for example, a larger change amount of demand per unit time or a larger energy demand amount itself).

[0114] In the above example, the regional energy cooperation recommendation system 100 generates the recommendation screen 1300 at the target date and time after estimating both the energy supply amount and the energy demand amount in each area at the target date and time. However, since the energy demand amount is less affected by the weather compared to the energy supply amount, the regional energy cooperation recommendation system 100 may omit the estimation of the energy demand amount in each area at the target date and time in order to reduce the calculation amount, and generate the recommendation screen 1300 at the target date and time using past area supply-demand estimation results and matching results.

[0115] In this case, for example, the area supply estimation unit 111 estimates the energy supply amount in each area at the target date and time, and the area cooperation display unit 113 determines the past target date and time when the estimated energy supply amount in each area is most similar to the energy supply amount in each area indicated by the area estimated supply-demand DB 129 (for example, similarity is determined by the distance between vectors with the energy supply amount in each area as elements). Note that the past target date and time may be specified only from the dates and times in the same time zone as the current target date and time (more preferably, in the same season (month) and / or on the same day of the week).

[0116] The area cooperation display unit 113 may, for example, display the matching result indicated by the area selection DB 130 at the specified past target date and time on the recommendation screen 1300 as a matching plan. Also, for example, information to be displayed in the area supply-demand situation display area 1310 may be generated based on the energy supply amount and the energy demand amount in each area indicated by the area estimated supply-demand DB 129 at the specified past target date and time.

[0117] Note that the area cooperation display unit 113 may further display the information of the energy storage DB 125 acquired in step S1003 or step S1104, that is, the list of the dischargeable power in the storage battery of each building, on the recommendation screen 1300. Thereby, the user can evaluate the risk of insufficient energy demand due to weather changes in each area.

[0118] In addition, the area cooperation display unit 113 may further display, for example, the source area and the destination area in the current matching (in the matching result of the nearest target time based on the current time indicated by the area selection DB 130), the energy supply amount and demand amount in the source area and the destination area, and the energy supply amount from the source area to the destination area, etc. on the recommendation screen 1300. Thereby, the user can compare and consider the current matching result and the matching plan at the target time.

[0119] When the above-mentioned recommendation screen 1300 is displayed, the user can confirm various analysis results. Also, on the recommendation screen 1300, when the candidates for the matched areas are visualized, the user can easily perform matching to achieve supply-demand stabilization by demand coordination in response to changes in the energy supply amount in the area due to sudden changes in the weather or the like.

[0120] Next, the energy cooperation planning unit 114 will be described. The energy cooperation planning unit 114 formulates a plan indicating how the destination area coordinates with the source area in order to respond to changes in the energy supply amount due to sudden changes in the weather or the like within the source area.

[0121] Specifically, for example, the energy cooperation planning unit 114 formulates a plan regarding resource utilization, such as whether the energy demand in the area can be adjusted by DR or the like, how much battery remaining capacity there is in the dischargeable storage batteries in the area, and how much the inventory of dischargeable electric vehicles in the area is, with reference to the past recent (similar) performance indicated by the energy cooperation DB 131.

[0122] For example, even if a certain source area is matched with a destination area at a certain time, if there is an excess energy supply amount in the source area, for example, the excess energy supply amount at that time may be charged to the storage battery or the electric vehicle in the warehouse in the source area or the matched destination area.

[0123] On the other hand, even if a certain supply destination area is matched with a supply source area at a certain time, if the energy demand in the supply destination area is not satisfied, for example, the unsatisfied energy demand at that time. It may be replenished from the storage battery in the supply destination area or the matched supply source area or the electric vehicle in stock.

[0124] FIG. 14 is a diagram showing an example of the screen configuration of a cooperation recommendation screen generated by the energy cooperation planning unit 114. The cooperation recommendation screen 1400 is displayed on the display device 105 and includes, for example, an estimated result display area 1410, a stored energy status display area 1420, and a cooperation plan display area 1430.

[0125] The estimated result display area 1410 shows, for example, the time series of the supply amount for each power generation device estimated by the area supply estimation unit 111 in the supply source area designated by the user (in the above example, only the PV system is considered as the power generation device, but different types of power generation devices may be further used) (for example, in the period designated by the user) by a line graph (the vertical axis represents the energy amount and the horizontal axis represents the date and time).

[0126] In addition, the estimated result display area 1410 may further show the time series of the demand amount estimated by the area demand estimation unit 112 in the supply destination area matched with the supply source area (for example, in the period designated by the user) by a line graph. In the estimated result display area 1410, in addition to or instead of displaying the estimated result in a graph, it may be displayed numerically.

[0127] The stored energy status display area 1420 holds information indicating the status of stored energy in the area corresponding to the estimated result displayed in the estimated result display area 1410 (for example, the information of the stored energy DB 125 in the area).

[0128] In the coordination plan display area 1430, a coordination plan is displayed that shows the results with little energy supply-demand difference from the present case, which the energy coordination section 114 obtained from the matching results stored in the energy coordination DB 131. In the example of FIG. 14, three plans, Plan A, Plan B, and Plan C, are displayed in the coordination plan display area 1430. Each plan shows a plan for discharging and charging the storage battery (releasing and accumulating stored energy) in the supply source area. The user can compare and consider the three plans from Plan A to Plan C.

[0129] In this way, in the present embodiment, the user can check the recommendation candidates for areas that can respond to a sudden change in the estimated energy supply, and thus can appropriately select and determine, at the user's own discretion, the area for coordinating the energy supply and demand. Also, since a plurality of such candidates are recommended, the user can predict the risk of an area where the energy supply becomes insufficient and select a coordination area for suppressing the risk.

[0130] Also, in the present embodiment, for the area demand determined by the user himself / herself, a plan is made by the energy coordination section 114 so that energy coordination is possible, and the recommended plans for the energy coordination plan are shown by a multi-screen display. The user can select the optimal plan from the plurality of energy coordination plan recommended plans while checking by the screen display.

[0131] As described above, the regional energy coordination recommendation system 100 of the present embodiment estimates the energy supply amount and the energy demand amount in consideration of sudden weather changes and the like in an area where renewable energy has spread, and recommends a plurality of candidates for the area to be matched based on the estimated supply amount and demand amount. By selecting the area to be matched from the plurality of recommendations, the user can minimize the risk of an area where the energy supply becomes insufficient, and by accumulating the results of optimal demand estimation, it is possible to improve the accuracy of the recommendation.

[0132] In addition, by the energy coordination planning unit 114 generating a plurality of recommendations, it becomes possible to optimize the energy coordination plan, and by accumulating an optimal energy coordination plan, it becomes possible to improve the accuracy of the recommendations. 。

[0133] Note that the present invention is not limited to the above-described embodiments, and various modifications are included. For example, the above-described embodiments have been described in detail for the purpose of clearly explaining the present invention, and are not necessarily limited to those having all the configurations described. Also, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Further, it is possible to add, delete, or replace other configurations for a part of the configuration of each embodiment.

[0134] In addition, each of the above configurations, functions, processing units, processing means, etc. may be realized in hardware by designing a part or all of them, for example, by using an integrated circuit. Also, each of the above configurations, functions, etc. may be realized in software by a processor interpreting and executing a program for realizing each function. Information such as a program, table, file, etc. for realizing each function can be placed in a memory, a recording device such as a hard disk, an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

[0135] Also, the control lines and information lines show those considered necessary for explanation, and not necessarily all the control lines and information lines are shown on the product. In reality, it may be considered that almost all the configurations are interconnected.

Description of Reference Numerals

[0136] 100 Regional Energy Cooperation Recommendation System, 101 CPU, 102 Memory, 103 Auxiliary Storage Device, 104 Input Device, 105 Display Device, 111 Area Supply Estimation Unit, 112 Area Demand Estimation Unit, 113 Area Cooperation Display Unit, 114 Energy Cooperation Planning Unit, 121 Weather Data, 122 Building Weather Sensor Data, 123 Renewable Energy DB, 124 Area Weather DB, 125 Energy Storage DB, 126 Smart Meter Data, 127 Building Operation DB, 128 Urban Planning DB, 129 Area Estimated Supply and Demand DB, 130 Area Selection DB, 131 Energy Cooperation DB

Claims

1. An information processing system, comprising a processor and a memory, wherein the memory holds: first weather information indicating the weather of sections included in each of a plurality of areas; second weather information indicating the weather in buildings included in each of the plurality of areas, the weather being in a more local range than the sections; building operation information indicating the operation status of the buildings; and city information indicating the number of people flowing in and out of areas included in the plurality of areas, and the processor: estimates the energy supply amount in each of the plurality of areas based on the first weather information and the second weather information; estimates the energy demand amount in each of the plurality of areas based on the first weather information, the second weather information, the building operation information, and the city information; selects, from the plurality of areas, matching candidates for a supply source area and a supply destination area to which energy is supplied from the supply source area, based on the estimated energy supply amount and the estimated energy demand amount; and generates data for displaying the matching candidates.

2. The information processing system according to claim 1, wherein the processor: estimates the energy demand amount of the buildings included in each of the plurality of areas based on the first weather information, the second weather information, and the building operation information; calculates the total sum of the estimated energy demand amounts of the buildings for each of the plurality of areas; and estimates the energy demand amount in each of the plurality of areas by reflecting the number of people flowing in and out indicated by the city information in each of the calculated total sums.

3. The information processing system according to claim 2, wherein the processor: identifies, from the plurality of areas, an area having a major consumer based on the estimated energy demand amount of the building; and in selecting the matching candidates, generates matching candidates for preferentially matching, as the supply destination area, the area having the major consumer to the supply source area based on the estimated energy supply amount and the estimated energy demand amount.

4. The information processing system according to claim 1, wherein the city information indicates the number of people flowing in and out due to at least one of urban planning and urban operation carried out in areas included in the plurality of areas.

5. The information processing system according to claim 1, wherein the building operation information indicates at least one of the use of the building, the structure of the building, and the operation schedule of the building. An information processing system.

6. The information processing system according to claim 1, connected to an input device, wherein the processor selects a combination of the source area and the destination area included in the matching candidates according to an input to the input device, wherein the memory stores the selected combination and the results of the estimated energy supply amounts and energy demand amounts for each of the plurality of areas, The processor, estimates a new energy demand amount in each of the plurality of areas based on the first weather information, the second weather information, the building operation information, and the city information, identifies an energy supply amount that is most similar to the estimated new energy supply amount from the energy supply amounts indicated by the results, and selects, as a new matching candidate, the combination corresponding to the identified energy demand amount in the results. An information processing system.

7. The information processing system according to claim 1, wherein the memory holds energy storage information indicating the state of stored energy in buildings included in each of the plurality of areas, wherein the processor uses the energy storage information in estimating the energy supply amounts and energy demand amounts in each of the plurality of areas. An information processing system.

8. The information processing system according to claim 7, wherein the processor plans the release and storage of stored energy in the source area based on the estimated energy supply amount and energy demand amount and the state of stored energy in the source area and the destination area. An information processing system.

9. An information processing method by an information processing system, wherein the information processing system includes a processor and a memory, The memory, holds first weather information indicating the weather of sections included in each of the plurality of areas, second weather information indicating the weather in buildings included in each of the plurality of areas, which is the weather in a more local range than the section, building operation information indicating the operation status of the building, and city information indicating the number of people flowing in and out of areas included in the plurality of areas. The information processing method, The processor estimates the energy supply amount in each of the plurality of areas based on the first weather information and the second weather information, The processor estimates the energy demand amount in each of the plurality of areas based on the first weather information, the second weather information, the building operation information, and the city information, Based on the estimated energy supply amount and the estimated energy demand amount, the processor selects matching candidates for a supply source area and a supply destination area to which energy is supplied from the supply source area from the plurality of areas, An information processing method in which the processor generates data for displaying the selected matching candidates.

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