Support system and support method

Abstract

This support system supports the management of a regional energy system. In the support system, a calculation device receives power supply and demand information in nano-grid facilities and transportation information about transportation by vehicles, performs simulation using the power supply and demand information and the transportation information to calculate nano-grid operation information indicating the power status of the nano-grid facilities in a predetermined period and vehicle operation information indicating the traveling status and charge / discharge status of the vehicles, and generates, on the basis of the nano-grid operation information and the vehicle operation information, data for displaying, on one screen, both data organized from the viewpoint of the power supply and demand in the nano-grid facilities and data organized from the viewpoint of the transportation by the vehicles.

Description

[Technical field]

[0001] The present invention relates to a system and method for visualizing or simulating the conditions of a nanogrid and vehicles to assist in the management of the nanogrid. [Background technology]

[0002] Microgrids and nanogrids are being adopted due to the need to increase renewable energy generation to curb global warming, increase disaster-resistant energy supplies, and limitations on power grid capacity. Furthermore, a technology is known that allows vehicles equipped with energy storage media to travel between multiple nanogrids and circulate energy, thereby lowering the cost of storing energy and adjusting supply and demand, and reducing electricity costs and carbon dioxide emissions.

[0003] As we move towards a COVID-19 and post-COVID-19 society, there is a need to build a safe and secure foundation for living in each region, as well as a stable, inexpensive, low-carbon, and carbon-free energy system. On the other hand, renewable energy such as solar power generation has large fluctuations in supply. In addition, in regions where demand areas and suitable renewable energy sites are scattered, it is difficult to connect new renewable energy systems to the grid because of the large costs and construction time required to increase the capacity of the transmission lines from renewable energy generation facilities to the demand areas. Furthermore, as there is a need to build low-carbon and carbon-free independent energy systems that utilize a wide variety of renewable energy sources in nearby and remote regions, it is important to build new services that contribute to local industries and life in order to reduce the cost burden associated with the introduction of new energy systems.

[0004] The following prior art is included as background art in this technical field. Patent Document 1 (JP 2021-67958 A) describes an energy supply and demand system that provides an energy supply and demand system including a time specifying unit that specifies a predicted energy shortage time of a target energy station based on a weather forecast for a region to which the target energy station belongs, a station specifying unit that specifies an energy station that is predicted to have an energy surplus at the predicted energy shortage time based on a weather forecast for a region other than the region, and a station selection unit that selects, from the energy stations specified by the station specifying unit, a supply energy station that can supply energy to the target energy station by transporting energy by the predicted energy shortage time. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Patent Publication No. 2021-67958 Summary of the Invention [Problem to be solved by the invention]

[0006] In a regional energy system in which multiple nanogrids are constructed, energy is transported using vehicles (such as electric vehicles, hereafter referred to as EVs) that transport people and goods, electricity is exchanged between nanogrids, and energy shortages are eliminated, value that should be improved other than electricity may arise. In addition, in a regional energy system, it is necessary to determine the operation policy of the power generation equipment and EVs of each small grid, taking into account uncertainties such as weather, electricity demand, and transportation demand.

[0007] However, the above-mentioned prior art documents do not take into consideration the visualization of electricity and values ​​other than electricity (response to disasters, transportation efficiency, etc.) through simulation. In other words, the conventional simulators optimize electricity and transportation independently, so demand It is not possible to present an optimal operation that simultaneously takes into account both the demand and transportation needs.

[0008] For this reason, there is a demand for a simulator that can visualize power and transportation management and present optimal operational policies for achieving the target value (profit, CO2 reduction, self-sustaining period in the event of a disaster, etc.). [Means for solving the problem]

[0009] A representative example of the invention disclosed in the present application is as follows: That is, a support system for supporting management of a local energy system is configured by a computer having a calculation device that executes a predetermined process and a storage device connected to the calculation device, the local energy system has a nanogrid facility including at least one of a power generation device and a power storage device, and a vehicle equipped with a storage battery, the support system is characterized in that the calculation device receives power supply and demand information in the nanogrid facility and transportation information related to transportation by the vehicle, the calculation device performs a simulation using the power supply and demand information and the transportation information to calculate nanogrid operation information showing the power status of the nanogrid facility in a predetermined period and vehicle operation information showing the running status and charging and discharging status of the vehicle, and the calculation device generates data for displaying both data organized from the perspective of power supply and demand in the nanogrid facility and data from the perspective of transportation by the vehicle on one screen based on the nanogrid operation information and the vehicle operation information. Effect of the Invention

[0010] According to one aspect of the present invention, the power operation and transportation effect of the entire local energy system using nanogrids and vehicles can be simultaneously visualized in response to fluctuations in power supply and demand and transportation demand. This allows users of the support system to determine the operation policy of the local energy system while taking into account two or more values ​​of power operation and transportation effect. Problems, configurations, and effects other than those described above will be made clear through the explanation of the following examples. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram showing an overview of an energy system according to an embodiment of the present invention. [Diagram 2] FIG. 1 is a diagram showing the physical configuration of an energy transportation optimization support system according to an embodiment of the present invention. [Diagram 3] 1 is a flowchart of a process executed by the energy transportation optimization support system of the present embodiment. [Figure 4] 1 is a diagram showing an example of a data flow in the processing executed by the energy transportation optimization support system of the present embodiment. FIG. [Diagram 5] FIG. 13 is a diagram showing an example of a nanogrid information display screen of the present embodiment. [Figure 6] FIG. 2 is an enlarged view showing details of the grid power data display area of ​​the present embodiment. [Figure 7] FIG. 4 is an enlarged view showing details of a power generation data display area in the present embodiment. [Figure 8] FIG. 13 is an enlarged view showing details of a transportation data display area in this embodiment. [Figure 9] FIG. 13 is a diagram showing an example of a transportation information display screen in the present embodiment. [Figure 10] FIG. 4 is an enlarged view showing details of a power generation data display area in the present embodiment. [Figure 11] FIG. 13 is an enlarged view showing details of a transportation data display area in this embodiment. [Figure 12] FIG. 13 is a diagram showing an example of a disaster response information display screen according to the present embodiment. [Figure 13] 1 is a diagram showing an example of data input and output for a simulation by the energy transportation optimization support system of this embodiment. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] As an example of the support system according to the present invention, a nanogrid Electric Energy An energy transportation optimization support system that outputs information for appropriately managing transportation by vehicle will be described.

[0013] FIG. 1 is a diagram showing an example of an energy transport optimization support system according to the present invention.10 The figure shows an overview of a regional energy system including multiple nanogrids 1 managed by the Energy Transport Optimization Support System. The solid lines indicate the travel routes of electric vehicles 3, and the dotted lines indicate communication lines for transmitting information. 10 is communicatively connected to a plurality of nanogrids 1.

[0014] The nanogrid 1 has a power source that generates power, a load that consumes power, and a power control device (not shown) that controls the amount of power generated and power consumption. The nanogrid 1 may have a storage battery that stores power to fill the gap between power supply and demand. The power source is a device that generates power mainly from renewable energy such as solar power generation, wind power generation, geothermal power generation, and a fuel generator that can generate power using biomass fuel. The load is equipment that consumes power within the nanogrid 1, agricultural machinery, and power transmission to public facilities such as gymnasiums, community centers, and schools. In addition, electric vehicles 3 that run within the area also consume power and become loads.

[0015] The power control device of the nanogrid 1 manages the power supply and demand state of the nanogrid 1. The nanogrid 1 and the electric vehicle 3 are connected to an energy management system (not shown). The energy management system receives multiple power order information from the power control device of each nanogrid 1, manages power transactions based on the received order information, and sends instructions to the electric vehicle 3 regarding charging / discharging and movement. The energy management system also outputs the calculation results to the user. The power control device may not manage power transactions between multiple nanogrids, but may only manage the power supply and demand state of the nanogrid.

[0016] In an area including a nanogrid 1, at least one electric vehicle 3, which is a vehicle that runs on electricity, travels between the nanogrids 1 using the charged power. The electric vehicle 3 may be a delivery truck, an on-demand bus, a taxi, or the like that transports cargo or people within the area, or may transport cargo or people between bases other than the nanogrid 1 (for example, places where cargo and people gather, such as government offices, hospitals, stations, and shopping districts). The electric vehicle 3 is equipped with a rechargeable and dischargeable battery for driving. In addition, the electric vehicle 3 is equipped with a rechargeable and dischargeable battery for power transport, and is charged at a specific nanogrid 1 according to the result of power trading and discharged at another nanogrid 1 to adjust the power supply and demand between the multiple nanogrids 1. The battery for power transport and the battery for driving may be the same battery or different batteries. The electric vehicle 3 is preferably equipped with a battery that can be quickly charged, but may also be equipped with a battery that can only be normally charged or a battery that can be easily replaced in a short time.

[0017] The electric vehicle 3 is preferably an electric vehicle that runs by driving a motor with charged electricity, but it may also be an engine vehicle that uses an internal combustion engine as a drive source, or a fuel cell vehicle that runs on electricity generated by a fuel cell. The nanogrid 1 provides electricity traded between multiple nanogrids 1 to the power transmission battery of the electric vehicle 3. In addition, it may also be a hydrogen vehicle equipped with a chargeable and dischargeable power transmission battery, instead of an electric vehicle.

[0018] FIG. 2 is a diagram showing a physical configuration of the energy transportation optimization support system 10 of this embodiment.

[0019] The energy transportation optimization support system 10 of this embodiment is configured by a computer having a processor (CPU) 11, a memory 12, an auxiliary storage device 13, and a communication interface 14.

[0020] The processor 11 executes a program stored in the memory 12. Note that a part of the processing performed by the processor 11 executing the program may be executed by another arithmetic device (for example, a hardware arithmetic device such as an FPGA or an ASIC).

[0021] The memory 12 includes a ROM, which is a non-volatile storage element, and a RAM, which is a volatile storage element. The ROM stores unchanging programs (e.g., BIOS) and the like. The RAM is a high-speed, volatile storage element such as a DRAM (Dynamic Random Access Memory), and temporarily stores programs executed by the processor 11 and data used when the programs are executed.

[0022] The auxiliary storage device 13 is a large-capacity non-volatile storage device such as a magnetic storage device (HDD) or a flash memory (SSD), and stores the programs executed by the processor 11 and data used when the programs are executed. That is, the programs are read from the auxiliary storage device 13, loaded into the memory 12, and executed by the processor 11.

[0023] The communication interface 14 is a network interface device that controls communication with other devices (such as the power control device in the nanogrid 1 and the electric vehicle 3) according to a predetermined protocol.

[0024] The energy transportation optimization support system 10 may have an input interface 15 and an output interface 18. The input interface 15 is an interface to which a keyboard 16, a mouse 17, etc. are connected and which receives input from a user. The output interface 18 is an interface to which a display device 19, a printer (not shown), etc. are connected and which outputs the results of program execution in a format that can be viewed by the user. Note that the input interface 15 and the output interface 18 may be provided by a terminal connected to the energy transportation optimization support system 10 via a network.

[0025] The program executed by the processor 11 is provided to the energy transportation optimization support system 10 via a removable medium (CD-ROM, flash memory, etc.) or a network, and is stored in a non-volatile auxiliary storage device 13, which is a non-transitory storage medium. For this reason, the energy transportation optimization support system 10 may have an interface for reading data from the removable medium.

[0026] The energy transport optimization support system 10 is a computer system configured on one physical computer or on multiple logically or physically configured computers, and may operate on one or multiple threads on the same computer, or may operate on a virtual computer constructed on multiple physical computer resources. Each part of the energy transport optimization support system 10 may operate on a different computer.

[0027] FIG. 3 is a flowchart of the process executed by the energy transportation optimization support system 10 of the present embodiment, and FIG. 4 is a diagram showing an example of a data flow in the process.

[0028] First, the user selects a scenario for the simulation (101). The scenario is a group of parameters that specify the region and weather conditions to be the target of the simulation, and includes information on geographic information, facility specifications, cost information, power demand, temperature, solar radiation, wind speed and direction, and transportation demand forecast. The scenario selected by the user is expanded into a data package, and a test case for the simulation is created (131). Of the data package, geographic information 111, facility specifications 112, and cost information 113 are classified as invariant data that do not change during the simulation time, and power demand 114, temperature 115, solar radiation 116, wind speed and direction 117, and transportation demand forecast 118 are classified as variable data that change during the simulation time. Note that variable data can be invariant data if time changes in parameters are not taken into consideration.

[0029] Geographic information 111 is a map of the area to be simulated, with the location of each base (nanogrid, departure and arrival points of transportation, etc.) and roads shown as nodes and edges. Equipment specifications 112 are specifications that express the performance of each piece of equipment (power generation equipment, storage batteries, vehicles, etc.). Cost information 113 is the initial cost for installing each piece of equipment and the running cost for its operation. Power demand 114 is the change in power demand over time during the time period to be simulated, and for example, past power demand data for days with similar social activities and weather conditions may be used. Temperature 115 is the change in temperature during the time period to be simulated, and is used to increase or decrease the amount of power for heating and cooling, Electricity supply and demand forecast The transportation demand forecast 118 is a transportation demand for people and luggage during the time period to be simulated. The transportation demand forecast 118 can be calculated from the potential transportation demand 151 and the population distribution 152. The calculation of the transportation demand forecast 118 may take into account regional characteristics, people flow due to events, traffic flow, and weather conditions.

[0030] In addition, the user inputs user variables (102). The user variables include an equipment layout plan 121, a small engine operation standard 122, an EV operation policy 123, an environmental change 124, a selection algorithm 125, and an operation policy 126. The energy transportation optimization support system 10 may acquire user variables from other systems with which it is linked. Depending on the purpose of the simulation, at least one of the environmental change 124, the selection algorithm 125, and the operation policy 126 may be acquired as the user variable.

[0031] The facility layout plan 121 is a facility layout plan in the nanogrid 1. For example, the types and numbers of power generation devices and power storage devices to be arranged in the nanogrid 1, the types and numbers of EVs, etc. The small engine operation standard 122 is the operating conditions of the internal combustion engine arranged in the nanogrid 1 (operating time period, number of operations, conditions of storage batteries and power demand to start or stop operation, etc.) and the type of fuel to be used (for example, light oil, heavy oil, biomass fuel, hot spring associated gas, hydrogen, etc.). The EV operation policy 123 is an operation policy of the electric vehicle 3 moving between the nanogrid 1, and includes allocation of the use of the electric vehicle 3 (cargo transportation, human transportation, electricity transportation, standby, etc.), conditions for changing the allocation, etc. The environmental change 124 is the degree of perturbation of the conditions in the simulation, the degree of fluctuation in power supply and demand, and whether or not unavoidable events occurring in transportation are considered in the simulation. The selection algorithm 125 is an algorithm used in the simulation. The characteristics of an algorithm may be, for example, a shorter waiting time in a transportation service or less grid-purchased power in power operation under the same conditions, so it is advisable to select an algorithm according to the purpose. The characteristics of the algorithm may be displayed on the screen. This makes it possible to assist the user of the energy transportation optimization support system 10 in selecting an algorithm. The operation policy 126 is an operation policy based on the selection of a priority service. The environmental change 124, the selected algorithm 125, and the operation policy 126 can be selected by the data selection unit 510 (see FIG. 5).

[0032] The energy transport optimization support system 10 applies the created test case and the input user variables to the selected algorithm and starts a simulation (132). The simulator 130 calculates the operation information of the nanogrid 1 and the electric vehicle 3 by optimization processing for the user variables, and calculates an evaluation value corresponding to the target service. In a regional energy system that connects nanogrids 1 with electric vehicles 3 and the like, it can be formulated as a delivery route optimization problem (Vehicle Routing Problem, hereinafter referred to as VRP) for transporting electricity and people and goods, and a VRP (Vehicle Routing Problem) solver can be used as the optimization processing. In addition, in a power system connected by a power transmission and distribution network, an optimal power flow calculation can be used. The simulator 130 has an environment unit that calculates environmental information and a control unit that calculates control information inside it, and explores an optimal solution to the delivery route optimization problem while exchanging the environmental information and the control information between the environment unit and the control unit. When the simulation is completed, the environmental information and the control information are output (133), and in post-processing 134, the simulation results are compiled for each nanogrid 1 and each electric vehicle 3. That is, the post-processing 134 outputs the order processing history 141, the nanogrid operation information 142, the EV operation information 143, and the delivery operation information 144. Here, an example of executing a simulation based on the environmental fluctuation 124 and the operation policy 126 selected by the data selection unit 510 will be described. When the small fluctuation in the power supply and demand of the environmental fluctuation 124 is turned ON, for example, a simulation may be executed by adding the fluctuation predicted from the past demand data and weather data to the power supply and demand in a normal distribution. Also, when the large fluctuation in the power supply and demand of the environmental fluctuation 124 is turned ON, a simulation may be executed by formulating the probability of occurrence of a large fluctuation using a uniform distribution or a power distribution. Here, examples of large fluctuations include fluctuations in the power supply and demand due to sudden weather changes such as a torrential downpour, and in the case of a transportation service, order cancellations and breakdowns of electric vehicles. Furthermore, when operation 3, which emphasizes the power supply value, is selected in operation policy 126, the weighting of the objective function for the power supply value can be increased or the number of electric vehicles assigned to the power operation can be increased, and a simulation can be performed.On the other hand, when operation 1 that emphasizes the transportation value is selected in the operation policy 126, the weight of the objective function for the transportation value is increased, or the number of electric vehicles assigned to transportation is increased, and then a simulation is performed.

[0033] The order processing history 141 is information on transportation corresponding to transportation requests, and includes the occurrence time, collection time, and delivery time for each transportation. Using the order processing history 141, the facility scale and profitability required to meet the transportation demand can be evaluated, and the profitability can be compared with the existing transportation infrastructure.

[0034] The nanogrid operation information 142 is information on the power generation, consumption, input and output of each nanogrid 1, and includes the amount of power purchased from the grid, the amount of renewable energy output suppression, the change in the amount of stored power, and the history of power supply and demand during the simulation. By using the nanogrid operation information 142, it is possible to estimate the operational efficiency of renewable energy and the appropriate equipment scale of the nanogrid (electricity storage equipment information 156), and to evaluate the period during which the system can operate independently when disconnected from the grid during a disaster.

[0035] The EV operation information 143 is information related to the operation of the electric vehicle 3, and includes a driving history, a change in the amount of stored electricity, and a charge / discharge history. By using the EV operation information 143, it is possible to estimate the wear on the vehicle body and the storage battery, and estimate the long-term costs.

[0036] The delivery operation information 144 is information on the operation of electric vehicles 3, engine vehicles, fuel cell vehicles, etc., and includes the use history of engine vehicles and the use history of existing EV stands. The delivery operation information 144 makes it possible to estimate the reduction in environmental load (e.g., carbon dioxide reduction 155) by replacing engine vehicles with electric vehicles 3.

[0037] The order processing history 141, nanogrid operation information 142, EV operation information 143, and delivery operation information 144 output from the post-processing 134 are input to an evaluation value calculation 145. The revenue calculation information 157 includes information on the power generation facilities and running costs of the electric vehicle, and information on the transportation fee for the transportation service.

[0038] Evaluation value calculation 145 calculates an evaluation value using order processing history 141, nanogrid operation information 142, EV operation information 143, and delivery operation information 144. Examples of evaluation values ​​include the power cost calculated from the amount of power purchased from the grid, the fuel consumption calculated from the driving history of engine vehicles, the carbon dioxide reduction amount 155 calculated from the driving history of electric vehicles 3, and the transportation fee calculated from the order processing history, and are indicators for evaluating service profitability, long-term variable costs, power stability, etc. The calculated evaluation value is Trial results database It is stored in 147.

[0039] Trial results database In addition to the calculated evaluation value, 147 stores the order processing history 141, nanogrid operation information 142, EV operation information 143, and delivery operation information 144 output from the post-processing 134. Trial results database The data stored in 147 enables a user output 148 that displays data in chronological order, including past data. In addition, the user output 148 can output data compiled as a data package in a predetermined format, user variables input for a simulation, calculated evaluation values, transportation records and forecasts, etc.

[0040] In this way, the energy transportation optimization support system 10 of the present embodiment can visualize and display data that can be evaluated from various viewpoints. Specific examples of information visualized from the viewpoints of various users related to the power management system according to the present invention will be described below.

[0041] FIG. 5 is a diagram showing an example of a nanogrid information display screen.

[0042] The nanogrid information display screen can display the results of a simulation under the input conditions and nanogrid information based on past performance, and aggregates and displays information suitable for the operator of the energy transportation optimization support system 10. The nanogrid information display screen includes a data selection unit 510, a visualization unit 520, and a calculation result display unit 530.

[0043] The data selection section 510 is an area for inputting the selection of the environmental fluctuation 124, the selection algorithm 125, and the operation policy 126, which are user variables in the simulation. Depending on the purpose of the simulation, it is sufficient to set at least one of the environmental fluctuation 124, the selection algorithm 125, and the operation policy 126.

[0044] The visualization unit 520 is an area that visualizes and displays information related to the operation of EVs and the amount of stored electricity in nanogrids. A person-shaped icon indicating the location of the transportation request, an icon indicating the location of each nanogrid 1, the equipment (power generation equipment, electricity storage equipment, etc.) and the amount of stored electricity, and an icon indicating the location of the electric vehicle 3, the amount of stored electricity, and the number of passengers are displayed superimposed on the map 521 of the visualization unit 520. The icon of the person requesting transportation and the icon of the electric vehicle appear, disappear, and move over time. The amount of stored electricity in the nanogrid 1, the amount of stored electricity in the electric vehicle 3, and the number of passengers change over time. Icons indicating the location of the engine vehicle, the amount of fuel loaded, the amount of stored electricity, and the number of passengers, and icons indicating the location of the EV stand and the number of vehicles using it may be displayed superimposed on the map 521. The visualization unit 520 is provided with a time bar 522 that indicates the time of the data currently displayed. When the slider of the time bar 522 is moved, the position of the electric vehicle 3 on the map 521 changes, and the person requesting transportation appears and disappears. The visualization unit 520 is also provided with an input field for the date to be displayed, and play, stop, and reverse play buttons. By operating the play button or reverse play button, the movement of the electric vehicle 3 and people on a specified date can be visualized over time, and by operating the stop button, the status of the electric vehicle 3 and people at any time can be visualized.

[0045] The calculation result display unit 530 includes a grid power data display area, a power generation data display area, and a transportation data display area. The grid power data display area displays predicted and actual values ​​of the power generation amount, power demand, and supply and demand (surplus power supply = charge / discharge amount of storage battery) of the nanogrid 1 in a graph format with elapsed time on the horizontal axis. Details of the grid power data display area are shown in Figure 6. The power generation data display area displays power data of the nanogrid 1. Details of the power generation data display area are shown in Figure 7. The transportation data display area displays actual values ​​of the number of transports and traveling distance of the electric vehicles 3 in a graph format with elapsed time on the horizontal axis. Details of the transportation data display area are shown in Figure 8.

[0046] Fig. 6 is an enlarged view showing the details of the grid power data display area. Note that the representation of the grid power data display area is slightly different from that shown in Fig. 5, but either representation method may be used.

[0047] The grid power data display area includes a forecast value display area 610 and an actual value display area 620, and displays forecast values ​​and actual values ​​of power generation, power demand, and supply and demand (power supply margin = charge and discharge amount of storage battery) in a graph format with elapsed time as the horizontal axis. In the grid power data display area, it is possible to switch and display the power generation, power demand, and supply and demand for each nanogrid 1 specified in the nanogrid ID input field 601 or for all nanogrids 1 in the all nanogrid selection field 602. The actual value of the power supply and demand gap should be displayed so that the amount of power originating from the electric vehicle 3 can be distinguished. The graph display of the power generation, power demand, and supply and demand may be displayed using existing display technology. In the forecast value display area 610, the maximum storage amount value 630 is a value indicating the maximum storage capacity of the storage equipment permanently installed in the nanogrid 1. In the forecast, the operation status of the electric vehicle 3 is not taken into consideration, so the maximum storage amount value basically indicates a straight line. By checking the predicted value display area 610, it is possible to check time periods when there is likely to be a surplus or shortage of electricity from the predicted values ​​of power generation, electricity demand, and supply and demand, and it is possible to consider the operation policy of the electric vehicle 3, etc.

[0048] In the actual value display area 620, the maximum power storage value 640 is a value indicating the total of the maximum power storage capacity of the power storage equipment permanently installed in the nanogrid 1 and the storage battery of the electric vehicle 3 parked in the nanogrid 1. For example, the result of the simulation indicates that the maximum power storage value 640 temporarily decreases during the time 624 when the electric vehicle 3 owned by the nanogrid 1 is away from the nanogrid 1, and conversely, the maximum power storage value 640 temporarily increases during the time 623 when multiple electric vehicles 3 are parked in the nanogrid 1. The electric vehicle 3 is parked in the nanogrid 1, and can receive and transmit power under the control of the power control device of the nanogrid 1. The portion 621 where the supply and demand exceeds the maximum power storage value indicates that there is a lot of surplus power, and power that exceeds the maximum power storage capacity of the power storage equipment of the nanogrid 1 and the storage battery of the electric vehicle 3 is discarded. Also, the portion 622 where the supply and demand is less than 0 indicates power purchased from the grid or power discharged from the electric vehicle 3. It is desirable to distinguish between whether grid purchase has been made and whether electricity has been discharged from the electric vehicle 3 on the screen. In the example of FIG. 6, grid purchase is shown. In addition, in the case of electricity being discharged from the electric vehicle 3, it is advisable to simultaneously show the EVID of the electric vehicle 3. When the maximum storage amount value 640 is large, no surplus waste electricity is generated even if the surplus electricity is large. In this way, Performance value display area In 620, by displaying the maximum storage value 640 according to time, it is possible to explicitly confirm how the electric vehicle 3 contributes to the nanogrid 1. For example, at time 623, the demand exceeds the maximum storage capacity of the permanent storage equipment in the nanogrid 1, but because the electric vehicle 3 is parked, the electricity that would have been discarded as surplus is effectively utilized.

[0049] FIG. 7 is an enlarged view showing the details of the power generation data display area.

[0050] The power generation data display area displays data on power supplied to the nanogrid 1, and includes a previous day data display area 710 and a current day data display area 720. The previous day data display area 710 displays in a graph format the amount of stored power on the day before the simulation target day (the amount of stored power that can be used on the simulation target day). The current day data display area 720 displays in a graph format the amount of power that becomes surplus and is discarded on the day, the amount of power purchased from the grid on the day, the amount of power that is lent by the electric vehicle 3 from other nanogrids 1 on the day, and the amount of stored power on the day (the amount of stored power that can be used on the next day). The amount of stored power may be displayed such that the amount of power 722 originating from the electric vehicle 3 can be distinguished from the other amounts of power 721. By distinguishing and visualizing the amount of power originating from the electric vehicle 3 in this way, it becomes possible to confirm the contribution of the electric vehicle to the entire local energy or to the nanogrid. In the power generation data display area, the power data for each nanogrid 1 specified in the nanogrid ID input field 701 or the power data for all nanogrids 1 specified in the all nanogrids selection field 702 can be switched and displayed. The power generation data display area also displays the remaining power amount, which is the increase / decrease ratio of the stored power amount from the previous day, the renewable energy utilization rate, which is the amount of power consumed from renewable energy divided by the total amount of power consumed, and the amount of carbon dioxide emissions.

[0051] FIG. 8 is an enlarged view showing the transportation data display area in detail.

[0052] The transportation data display area includes a transportation number display area 810 and an electricity data display area 820. The transportation number display area 810 displays the actual values ​​of the transportation number and the mileage in a graph format with the elapsed time on the horizontal axis. The transportation number is the number of people transported, the number of cargoes, the weight of the cargo, etc. It may be expressed not only as a simple number but also as the transportation amount including a distance element such as passenger-kilometers or ton-kilometers. The mileage is the distance traveled by the electric vehicle 3. The electricity data display area 820 displays the amount of electricity stored in the electric vehicle 3 in a graph format with the elapsed time on the horizontal axis. In the transportation data display area, it is possible to switch between displaying the transportation data for each electric vehicle 3 specified in the EV ID input field 801 or for all electric vehicles 3 using the all EVs selection field 802. The transportation data display area also displays the revenue from transportation, the number of engine vehicles and ComparedThe average waiting time, minimum waiting time, and maximum waiting time of the electric vehicle 3 are displayed. The transportation number display area 810 and the power data display area 820 display information on charging and discharging the nanogrid 1 by the target electric vehicle 3. For example, N2charge indicates that a storage battery mounted on an electric vehicle has been charged in the nanogrid 1 with a nanogrid ID of N2. Conversely, N1discharge indicates that a storage battery mounted on an electric vehicle has been discharged to a storage battery or load of the nanogrid 1 in the nanogrid 1 with a nanogrid ID of N1. In this way, by displaying information on the transfer of power to and from the nanogrid 1 by the electric vehicle 3 together with data on the transportation of people and goods by the electric vehicle 3, it becomes possible to know the extent to which the transportation by the electric vehicle 3 has an impact on the power of the nanogrid.

[0053] The nanogrid information display screen visualizes the transportation data of cargo, people, and electricity together with the charging and discharging data of each nanogrid, so that the relationship between the nanogrid and transportation by the electric vehicle 3 can be understood at the same time, making it easier for the user to decide the operation policy of the electric vehicle 3. In addition, the self-consumption rate, waste electricity, electricity purchased from the grid, and transportation results of the electric vehicle 3 of each nanogrid 1 are visualized, so that the utilization rate of renewable energy electricity and the profit from transportation can be improved by reviewing the operation plan and number of the power generation facilities and the electric vehicle 3.

[0054] In addition, the charge / discharge history can tell the amount and time of charging / discharging of the storage battery performed on Nanogrid 1, which can be used as a reference for equipment planning.

[0055] In addition, by switching the uncertainty of power supply and demand and transportation conditions, it is possible to evaluate robustness against environmental changes. Furthermore, by switching the priority services, it is possible to visualize the balance between power generation and transportation and reflect this in operational policies.

[0056] FIG. 9 is a diagram showing an example of a transportation information display screen.

[0057] The transportation information display screen can display the results of a simulation under the input conditions and past performance data, and aggregates and displays information suitable for the operator of the electric vehicle 3. The transportation information display screen includes a data selection unit 910, a visualization unit 920, and a calculation result display unit 930.

[0058] The data selection section 910, like the data selection section 510 on the nanogrid information display screen (FIG. 5), is an area where the selection of the environmental fluctuation 124, the selection algorithm 125, and the operation policy 126, which are user variables in the simulation, are input. Note that in FIG. 9, the data selection section 910 is shown in a collapsed state, and can be expanded to the state shown in FIG. 5 by operating the triangle icon of the data selection section 910.

[0059] The visualization unit 920 is an area that visualizes and displays information related to the operation of EVs. A map 921 of the visualization unit 920 displays a person-shaped icon indicating the location of the transportation request, an icon indicating the location of each nanogrid 1, the equipment (power generation equipment, power storage equipment, etc.) and the amount of stored power, an icon indicating the location of the electric vehicle 3, the amount of stored power and the number of passengers, an icon indicating the location of the engine vehicle, the amount of fuel loaded, the amount of stored power and the number of passengers, and an icon indicating the location of the EV stand and the number of vehicles used. The icon of the person requesting transportation and the icon of the electric vehicle appear, disappear and move over time. The amount of stored power of the nanogrid 1, the amount of stored power of the electric vehicle 3 and the number of passengers change over time. The visualization unit 920 is provided with a time bar 922 that indicates the time of the data currently displayed. When the slider of the time bar 922 is moved, the position of the electric vehicle 3 on the map 921 changes, and the person requesting transportation appears and disappears. In addition, the visualization unit 920 is provided with an input field for the day to be displayed, and buttons for play, stop, and reverse play. By operating the play button or reverse play button, the movements of electric vehicles 3 and people on a specified day can be visualized over time, and by operating the stop button, the status of electric vehicles 3 and people at any time can be visualized.

[0060] The calculation result display section 930 includes a power generation data display area and a transportation data display area. The power generation data display area displays the power data of the nanogrid 1. Details of the power generation data display area are shown in FIG. 10. The transportation data display area displays the actual values ​​of the number of transported electric vehicles 3 and the traveling distance in a graph format with the elapsed time on the horizontal axis. Details of the transportation data display area are shown in FIG. 11.

[0061] FIG. 10 is an enlarged view showing the details of the power generation data display area.

[0062] The power generation data display area includes a previous day data display area 1010 and a current day data display area 1020. The previous day data display area 1010 displays in a graph format the amount of stored power on the day before the simulation target day (the amount of stored power that can be used on the simulation target day). The current day data display area 1020 displays in a graph format the amount of power that becomes surplus and is discarded on the day, the amount of power purchased from the grid on the day, the amount of power that is lent to the electric vehicle 3 from other nanogrids 1 on the day, the amount of power generated by renewable energy, the amount of discharge of the electric vehicle 3, and the amount of stored power on the day (the amount of stored power that can be used on the next day). It is preferable that the amount of stored power is displayed such that the amount of power 1022 originating from the electric vehicle 3 can be distinguished from the amount of other power 1021. In the power generation data display area, the power data for each nanogrid 1 specified in the nanogrid ID input field 1001 or the power data for all nanogrids 1 specified in the all nanogrids selection field 1002 can be switched and displayed. The power generation data display area also displays the remaining power amount, which is the increase / decrease ratio of the stored power amount from the previous day, the renewable energy utilization rate, which is the amount of power consumed from renewable energy divided by the total amount of power consumed, and the amount of carbon dioxide emissions.

[0063] FIG. 11 is an enlarged view showing details of the transportation data display area.

[0064] The transportation data display area includes a transportation number display area 1110, a mileage display area 1120, a transportation number ratio display area 1130, a mileage ratio display area 1140, a charging ratio display area 1150, and a discharging ratio display area 1160. The transportation number display area 1110 displays the actual value of the transportation number in a graph format with elapsed time on the horizontal axis. The transportation number is the number of people transported, the number of cargoes, the weight of the cargoes, etc. It may be expressed not only as a simple number but also as a transportation amount including a distance element such as passenger-kilometers or ton-kilometers. The mileage display area 1120 displays the actual value of the mileage in a graph format with elapsed time on the horizontal axis. The transportation number ratio display area 1130 displays the ratio of the number of transportations by the electric vehicle 3 to the total transportation number. The mileage ratio display area 1140 displays the ratio of the mileage of the electric vehicle 3 to the total mileage. The charging ratio display area 1150 displays the ratio of the power supply device used for charging the storage battery mounted on the electric vehicle 3 when charging it. In the case of charging from a storage battery installed in the nanogrid 1, the nanogrid ID of the nanogrid may be displayed, and the ratio of EV stands may be displayed separately. The discharge ratio display area 1160 displays the ratio of equipment that performed the discharge when discharging from a storage battery mounted on the electric vehicle 3 to another storage battery or load. In the case of discharging to a storage battery or load installed in the nanogrid 1, the nanogrid ID of the nanogrid may be displayed. In the transportation data display area, transportation data for each electric vehicle 3 specified in the EV ID input field 1101 or transportation data for all electric vehicles 3 specified in the all EV selection field 1102 can be switched and displayed. In addition, the transportation data display area displays the revenue from transportation, the amount of carbon dioxide reduction compared to engine vehicles, the renewable energy utilization rate, the amount of carbon dioxide emissions, the average charging waiting time which is the average time it takes to charge the electric vehicle 3, the average discharging waiting time which is the average time it takes to discharge the electric vehicle 3 in the nanogrid 1, the average waiting time, the minimum waiting time, and the maximum waiting time. In addition, the transportation data display area displays the average waiting time, the minimum waiting time, and the maximum waiting time for the electric vehicle 3.

[0065] The transportation information display screen visualizes the number of trips and distance traveled for the transportation of cargo, people, and electricity, making it possible to clearly display transportation data that indicates environmental value (such as the amount of carbon dioxide reduction in transportation services). In addition, the amount of charging and discharging between the nanogrid and electric vehicles 3 can be visualized in the power generation data, making it possible to visualize the impact of the operation of electric vehicles 3 on the nanogrid. By reviewing the profitability of transportation services and the number of vehicles, operators of electric vehicles 3 can balance economic efficiency and decarbonization, thereby contributing to the achievement of environmental targets.

[0066] FIG. 12 is a diagram showing an example of a disaster response information display screen.

[0067] The disaster response information display screen can display the results of a simulation under the input conditions and past performance data, and aggregates and displays information regarding robustness to the lives of local residents. The disaster response information display screen includes a data selection section 1210, a visualization section 1220, and a calculation result display section 1230.

[0068] The data selection section 1210, like the data selection section 510 on the nanogrid information display screen (FIG. 5), is an area where the selection of the environmental fluctuation 124, the selection algorithm 125, and the operation policy 126, which are user variables in the simulation, are input. Note that in FIG. 12, the data selection section 1210 is shown in a collapsed state, and can be expanded to the state shown in FIG. 5 by operating the triangle icon of the data selection section 1210.

[0069] The visualization unit 1220 is an area that visualizes and displays information related to the operation of EVs. A map 1221 of the visualization unit 1220 displays a person-shaped icon indicating the location of the transportation request, the location of each nanogrid 1, an icon indicating the facility (power generation facility, power storage facility, etc.) and the amount of stored power, the location of the electric vehicle 3, an icon indicating the amount of stored power and the number of passengers, and an icon indicating the location of important facilities (shelters, hospitals, government offices, etc.), the amount of stored power, and the time during which power can be supplied to the expected number of passengers (reference amount of stored power). A storage battery is provided in the important facility, and is usually charged to a certain extent from the power system or the nanogrid 1 for use in the event of a disaster. In addition, this storage battery is also used on a daily basis, and when the power supply of the nanogrid 1 is insufficient, power is supplied from the storage battery. The number of users and maximum capacity of the important facility (shelter) may also be displayed. The icon of the person requesting transportation and the icon of the electric vehicle appear, disappear, and move over time. The amount of stored power of the nanogrid 1, the amount of stored power of the electric vehicle 3, and the number of passengers change over time. The visualization unit 1220 is provided with a time bar 1222 that indicates the time of the currently displayed data. When the slider of the time bar 1222 is moved, the position of the electric vehicle 3 on the map 1221 changes, and people requesting transportation appear and disappear. The visualization unit 1220 is also provided with an input field for the day to be displayed, and play, stop, and reverse play buttons. By operating the play button or reverse play button, the movement of the electric vehicle 3 and people on a specified day can be visualized over time, and by operating the stop button, the status of the electric vehicle 3 and people at any time can be visualized.

[0070] The calculation result display unit 1230 includes a power generation data display area and a disaster prevention data display area. The power generation data display area displays the power data of the nanogrid 1. Specifically, the power generation data display area displays the amount of stored power on the day before the simulation target day (the amount of stored power that can be used on the day, which is the simulation target day) in a graph format, and displays the amount of power that becomes surplus and is discarded on the day, the amount of power purchased from the grid on the day, and the amount of stored power on the day (the amount of stored power that can be used on the next day) in a graph format. The amount of stored power may be displayed so that the amount of power originating from the electric vehicle 3 can be distinguished from other amounts of power. In the power generation data display area, the power data of each nanogrid 1 specified in the nanogrid ID input field 1201 or the power data of all nanogrids 1 specified in the all nanogrids selection field 1202 can be switched and displayed. In addition, the power generation data display area displays the remaining power amount, which is the increase / decrease ratio of the amount of stored power from the day before, the renewable energy utilization rate obtained by dividing the amount of power consumed from renewable energy by the total amount of power consumed, and the amount of carbon dioxide emissions.

[0071] The disaster prevention data display area displays the status of important facilities in daily life and during disasters. The daily status display area displays, for each important facility, the time period during which the amount of stored power in the storage battery of the important facility meets the standard amount of stored power and the time period during which it does not meet the standard amount of stored power. Furthermore, it is preferable to extract and display important facilities in which the time period during which the amount of stored power in the storage battery does not meet the standard amount of stored power is longer than a predetermined threshold. The disaster status display area displays, for each important facility, the capacity of the storage battery of the important facility compared with the standard amount of stored power. It also displays the amount of stored power in the electric vehicle 3. The electric vehicle 3 can move to a facility where there is a power shortage and supply power. At this time, it is preferable to subtract the amount of power consumed by the movement of the electric vehicle 3 (for example, the average amount of power consumed by movement to the nanogrid 1) from the amount of stored power. Furthermore, it is preferable to extract important facilities where there is a power shortage and display the name of the important facility and the time during which power can be supplied.

[0072] By visualizing the total amount of stored power in the nanogrid 1 and the electric vehicles 3, an appropriate power allocation plan can be made so that the power supply to important facilities is not interrupted in emergencies such as natural disasters. For example, the facilities to which the electric vehicles 3 distribute power can be determined according to the amount of stored power and the location of the electric vehicles 3, and a power distribution instruction by the electric vehicles 3 can be output. Also, a plan can be made to transport residents who wish to move to evacuation shelters by the electric vehicles 3, as well as to transport electricity. People may also be transported to places where electricity is available. Furthermore, a plan can be made to increase the amount of storage equipment so that important facilities can meet the period during which they can be self-sustaining in the event of a disaster.

[0073] FIG. 13 is a diagram showing an example of data that the energy transportation optimization support system 10 inputs and outputs for a simulation.

[0074] The input data required for the simulation differs depending on the nanogrid information display screen (Fig. 5), transportation information display screen (Fig. 9), and disaster response information display screen (Fig. 12) mentioned above. In the input data, ◎ indicates essential data, ○ indicates data that is useful for grasping the status with high accuracy, and × indicates unnecessary data. In addition, the data output in each of the above-mentioned screens is as shown in Fig. 5, Fig. 9, and Fig. 12, but to summarize, ◎ indicates key items that are the main data for grasping the status, ○ indicates auxiliary items that are useful data for grasping the status more reliably, and × indicates unnecessary data.

[0075] As described above, the energy transport optimization support system 10 of this embodiment receives power supply and demand information in the nanogrid 1 and transport information related to transport by the vehicle (electric vehicle 3), performs a simulation using the power supply and demand information and the transport information, calculates nanogrid operation information indicating the power situation of the nanogrid 1 in a predetermined period and vehicle operation information indicating the running status and charging and discharging status of the electric vehicle 3, and generates data for displaying both data organized from the perspective of power supply and demand in the nanogrid 1 and data from the perspective of transport by the electric vehicle 3 on one screen based on the nanogrid operation information and the vehicle operation information, so that the self-consumption rate, waste electricity, grid-purchased electricity, and transport performance of the electric vehicle 3 of multiple nanogrids 1 can be evaluated, and the utilization rate of renewable energy electricity and profits from transport can be visualized, and data useful for formulating power generation facility plans and operation plans can be presented. In addition, the nanogrid operation information indicating power and the vehicle operation information indicating values ​​other than power can be integrated, visualized, and presented to a user (for example, a local government, a business operator, etc. considering the introduction of a grid), so that the operation policy of power and the electric vehicle 3 can be determined taking into consideration multiple values. Furthermore, by linking electric vehicles 3 and nanogrids 1, it will be possible to propose regional energy systems that create new value, such as commuter transportation for transporting people and cargo.

[0076] In addition, the energy transportation optimization support system 10 performs simulations taking into account fluctuations in electricity supply and demand and fluctuations in the transportation environment according to input information that switches at least one of these fluctuations, so that it can evaluate and visualize robustness against anticipated uncertainties and present data that is useful for formulating power generation facility plans and operation plans.

[0077] In addition, the energy transportation optimization support system 10 performs simulations according to the selection information of the priority services that the user considers important, so that it can visualize the optimization effect of the balance between power generation and transportation and present data that is useful for formulating operational policies according to objectives.

[0078] In addition, the energy transportation optimization support system 10 superimposes the position of the electric vehicle 3, the amount of stored electricity, and the number of people transported, as well as the configuration and amount of stored electricity of the nanogrid 1 on the maps 521, 921, and 1221, so that the relationship between the nanogrid 1 and the electric vehicle 3 can be displayed in an easy-to-understand manner.

[0079] In addition, the energy transportation optimization support system 10 generates data to instruct the electric vehicle 3 to distribute electricity to the nanogrid 1 based on the amount of electricity stored in the electric vehicle 3 and its location, making it possible to operate in a way that links electricity and transportation, such as transporting people to places where electricity is available.

[0080] In addition, the energy transportation optimization support system 10 displays a screen including a power data display area that displays the power generation amount and power demand of the nanogrid 1, a power generation data display area that displays the power supplied to the nanogrid 1, and a transportation data display area that displays the number of electric vehicles 3 transported and the distance traveled, thereby making it possible to visualize the amount of stored power for each electric vehicle 3, the renewable energy usage rate, and the ID of the charged nanogrid as a charging history, and to evaluate the transportation operation status, and to present data that is useful for formulating a power generation equipment plan for the nanogrid 1 to improve the renewable energy usage rate and reduce carbon dioxide emissions.

[0081] In addition, the energy transportation optimization support system 10 displays a screen including a power generation data display area that displays the electricity supplied to the nanogrid 1, and a transportation data display area that displays the number of transports and the distance traveled by the electric vehicle 3. The transportation data display area further displays data on the number of transports and the distance traveled by engine vehicles and electric vehicles, making it possible to visualize the cumulative number of transports and the total distance traveled by the electric vehicle 3 and the engine vehicle, evaluate the amount of carbon dioxide reduction in the provision of transportation services, and present data that is useful for determining the profitability of transportation services and the optimal number of vehicles.

[0082] In addition, the energy transportation optimization support system 10 displays a screen including a power generation data display area that shows the power supplied to the nanogrid 1, and a disaster prevention data display area that shows the status of important facilities in daily life and during disasters. This makes it possible to visualize the time required to meet the standard storage capacity of important facilities such as evacuation shelters during normal times, the charge amount of electric vehicles 3, and the storage capacity of important facilities, evaluate the period during which power can be supplied independently in the event of a disaster, and evaluate important facilities that are short of power, and present data that will be useful in formulating operational policies during disasters.

[0083] In addition, the energy transportation optimization support system 10 displays transportation data indicating environmental value on the screen based on the nanogrid operation information and operation information, so that data useful for formulating an operation policy that improves the environmental value of transportation can be presented.

[0084] The present invention is not limited to the above-described embodiments, and includes various modified examples and equivalent configurations within the spirit of the appended claims. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to those having all of the configurations described. Also, a part of the configuration of one embodiment may be replaced with a configuration of another embodiment. For example, parts of the screens shown in Figures 5, 9, and 12 may be displayed by replacing the screens. Also, a configuration of another embodiment may be added to a configuration of one embodiment. Also, a part of the configuration of each embodiment may be added, deleted, or replaced with another configuration.

[0085] In addition, each of the above-mentioned configurations, functions, processing units, processing means, etc. may be realized in hardware, for example by designing some or all of them as an integrated circuit, or may be realized in software by a processor interpreting and executing a program that realizes each function.

[0086] Information such as programs, tables, and files that realize each function can be stored in a storage device such as a memory, a hard disk, or an SSD (Solid State Drive), or in a recording medium such as an IC card, an SD card, or a DVD.

[0087] In addition, the control lines and information lines shown are those considered necessary for the explanation, and do not necessarily show all the control lines and information lines necessary for implementation. In reality, it can be considered that almost all components are connected to each other.

Claims

1. A support system for supporting management of a local energy system, comprising: The computer includes an arithmetic unit that executes a predetermined process and a storage device that is connected to the arithmetic unit, The district energy system includes a nanogrid facility including at least one of a power generation device and a power storage device, and a vehicle equipped with a storage battery; The support system includes: The computing device receives power supply and demand information in the nanogrid facility and transportation information related to transportation by the vehicle; The computing device performs a simulation using the power supply and demand information and the transportation information to calculate nanogrid operation information indicating the power status of the nanogrid facility during a predetermined period and vehicle operation information indicating the running status and charging and discharging status of the vehicle; A support system characterized in that the computing device generates data for displaying both data organized from the perspective of electricity supply and demand in the nanogrid facility and data from the perspective of transportation by the vehicle on a single screen based on the nanogrid operation information and the vehicle operation information.

2. The support system according to claim 1, A support system characterized in that the computing device performs a simulation taking into account fluctuations in power supply and demand and fluctuations in the environment related to transportation in accordance with input information that switches between at least one of these fluctuations.

3. The support system according to claim 1, A support system characterized in that the computing device performs a simulation in accordance with selection information of priority services that a user places importance on.

4. The support system according to claim 1, The assistance system is characterized in that the computing device generates data for displaying the vehicle's location, amount of stored electricity, number of people carried, and the configuration and amount of stored electricity of the nanogrid facility on a map by superimposing them on the map.

5. The support system according to claim 1, The assistance system is characterized in that the computing device generates data for instructing the vehicle to distribute power to the nanogrid facility according to the amount of power stored in the vehicle and its location.

6. The support system according to claim 1, The support system is characterized in that the computing device generates data for displaying a screen including a power data display area that displays the power generation amount and power demand of the nanogrid facility, a power generation data display area that displays the power supplied to the nanogrid facility, and a transportation data display area that displays the number of vehicles transported and the distance traveled.

7. The support system according to claim 1, The computing device generates data for displaying a screen including a power generation data display area that displays the power supplied to the nanogrid facility and a transportation data display area that displays the number of transportations and the distance traveled by the vehicle; The assistance system is characterized in that the transportation data display area further displays data on the number of engine vehicles and electric vehicles transported and the mileage.

8. The support system according to claim 1, The support system is characterized in that the computing device generates data for displaying a screen including a power generation data display area that displays the power supplied to the nanogrid equipment, and a disaster prevention data display area that displays the daily and disaster status of important facilities having loads that use power.

9. A method for supporting management of a district energy system by an assistance system, comprising: the support system is configured by a computer having an arithmetic unit that executes a predetermined process and a storage device connected to the arithmetic unit; The district energy system includes a nanogrid facility including at least one of a power generation device and a power storage device, and a vehicle equipped with a storage battery; The support method includes: The computing device receives power supply and demand information in the nanogrid facility and transportation information related to transportation by the vehicle; The computing device performs a simulation using the power supply and demand information to calculate nanogrid operation information indicating a power situation of the nanogrid facility for a predetermined period of time; The computing device performs a simulation using the transportation information to calculate operation information indicating a running state and a charging / discharging state of the vehicle during a predetermined period of time; A support method characterized in that the computing device generates data for displaying both data organized from the perspective of electricity supply and demand in the nanogrid facility and data organized from the perspective of transportation by the vehicle on a single screen based on the nanogrid operation information and the operation information.

10. A support system for supporting management of a local energy system, comprising: The computer includes an arithmetic unit that executes a predetermined process and a storage device that is connected to the arithmetic unit, The district energy system includes a nanogrid facility including at least one of a power generation device and a power storage device, and a vehicle equipped with a storage battery; The support system includes: The computing device receives power supply and demand information in the nanogrid facility and transportation information related to transportation by the vehicle; The computing device performs a simulation using the power supply and demand information and the transportation information to calculate nanogrid operation information indicating the power status of the nanogrid facility during a predetermined period and vehicle operation information indicating the running status and charging and discharging status of the vehicle; The assistance system is characterized in that the computing device generates data for displaying transportation data indicating environmental value on a screen based on the nanogrid operation information and the vehicle operation information.

11. A support system for supporting management of a local energy system, comprising: The computer includes an arithmetic unit that executes a predetermined process and a storage device that is connected to the arithmetic unit, The district energy system includes a nanogrid facility including at least one of a power generation device and a power storage device, and a vehicle equipped with a storage battery; The support system includes: The computing device receives power supply and demand information in the nanogrid facility and transportation information related to transportation by the vehicle; The computing device calculates nanogrid operation information indicating a past power status of the nanogrid facility and vehicle operation information indicating a running status and a charging / discharging status of the vehicle using the received power supply and demand information and the transportation information, A support system characterized in that the computing device generates data for displaying both data organized from the perspective of electricity supply and demand in the nanogrid facility and data from the perspective of transportation by the vehicle on a single screen based on the nanogrid operation information and the vehicle operation information.

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