WO2016056243A1 - エネルギープラニングシステム及びエネルギープラニング方法 - Google Patents
エネルギープラニングシステム及びエネルギープラニング方法 Download PDFInfo
- Publication number
- WO2016056243A1 WO2016056243A1 PCT/JP2015/005130 JP2015005130W WO2016056243A1 WO 2016056243 A1 WO2016056243 A1 WO 2016056243A1 JP 2015005130 W JP2015005130 W JP 2015005130W WO 2016056243 A1 WO2016056243 A1 WO 2016056243A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- energy
- unit
- house
- information
- power
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims description 22
- 238000001514 detection method Methods 0.000 claims abstract description 57
- 238000005259 measurement Methods 0.000 claims description 27
- 230000008859 change Effects 0.000 claims description 23
- 230000033228 biological regulation Effects 0.000 claims description 2
- 238000010248 power generation Methods 0.000 description 29
- 230000006870 function Effects 0.000 description 28
- 238000010586 diagram Methods 0.000 description 14
- 238000004891 communication Methods 0.000 description 10
- 238000004364 calculation method Methods 0.000 description 9
- 230000000694 effects Effects 0.000 description 7
- 230000005611 electricity Effects 0.000 description 7
- 238000012545 processing Methods 0.000 description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 7
- 238000007726 management method Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 230000004044 response Effects 0.000 description 5
- 230000001629 suppression Effects 0.000 description 5
- 238000005265 energy consumption Methods 0.000 description 4
- 230000004622 sleep time Effects 0.000 description 4
- 238000004422 calculation algorithm Methods 0.000 description 3
- 239000000446 fuel Substances 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000002123 temporal effect Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000035606 childbirth Effects 0.000 description 2
- 239000000470 constituent Substances 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 229910001416 lithium ion Inorganic materials 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05F—SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
- G05F1/00—Automatic systems in which deviations of an electric quantity from one or more predetermined values are detected at the output of the system and fed back to a device within the system to restore the detected quantity to its predetermined value or values, i.e. retroactive systems
- G05F1/10—Regulating voltage or current
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00004—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00028—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/10—The network having a local or delimited stationary reach
- H02J2310/12—The local stationary network supplying a household or a building
- H02J2310/14—The load or loads being home appliances
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/62—The condition being non-electrical, e.g. temperature
- H02J2310/64—The condition being economic, e.g. tariff based load management
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/10—Energy trading, including energy flowing from end-user application to grid
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
Definitions
- the present invention relates to a technology for managing energy such as electricity and gas in a house, and more particularly, to an energy planning system and an energy planning method for creating a plan related to the use and generation of energy in a house.
- HEMS Home Energy Management System
- HEMS controller controls the usage-amount of the electric power in a house, for example, displays a measurement result with the HEMS apparatus in a house, and makes a resident
- the electricity bill is calculated based on the measurement result from the power measuring device that measures the amount of power purchased from the commercial power grid and the power sold to the power grid, and the unit price of the power bill.
- a display device that performs display is known (see Patent Document 1).
- the present invention provides an energy planning system that proposes an appropriate energy plan for one house.
- the present invention also provides an energy planning method and an energy planning device associated with this energy planning system.
- an energy planning system includes a detection unit that detects a state of energy equipment in a house, a prediction unit that predicts a future lifestyle of a resident of the house, and It is an energy planning system provided with the proposal part which determines the information regarding the energy plan for the said house based on the detection result by the detection part, and the lifestyle predicted by the said prediction part, and outputs the said information.
- An energy planning method for solving the above problem is an energy planning method executed by one or a plurality of computers, and a detection step of detecting a state of energy equipment in a house; A prediction step for predicting a future life style of a resident of the house; and a result of the detection in the detection step and information on an energy plan for the house determined based on the life style predicted in the prediction step An energy planning method including a proposal step of outputting information.
- the energy planning apparatus which concerns on 1 aspect of this invention,
- the detection part which detects the state of the energy installation in a house
- the prediction part which estimates the future lifestyle of the resident
- An energy planning apparatus comprising: a proposal unit that determines information on an energy plan for the house based on a detection result by the detection unit and a lifestyle predicted by the prediction unit and outputs the information.
- the energy planning system etc. of the present invention outputs information on an energy plan appropriate for each house.
- FIG. 1 is a system schematic diagram showing a group of devices related to the energy planning system according to the embodiment.
- FIG. 2 is a functional block diagram of the energy planning system.
- FIG. 3 is a graph showing the operation results of the energy equipment.
- FIG. 4 is a graph showing the amount of power used in a house.
- FIG. 5 is a diagram illustrating a configuration and example contents of the equipment price information.
- FIG. 6 is a diagram showing a configuration and example contents of energy purchase price information.
- FIG. 7 is a flowchart showing the operation of the energy planning system.
- FIG. 8 is a diagram illustrating an example of a screen displaying information related to the energy plan.
- FIG. 9 is a functional block diagram of an energy planning system according to a modification.
- FIG. 1 is a system schematic diagram showing an apparatus group related to an energy planning system 10 according to an embodiment.
- the energy planning system 10 shown in the figure is configured such that the HEMS 200 installed in each house (house 20a, house 20b, house 20c, etc.), the energy planning server 100, and the mobile terminal 30 can communicate over the network 11.
- the energy planning server (energy planning apparatus) 100 can communicate with an external server group via the network 11.
- the network 11 includes a wide area network such as the Internet.
- the energy planning system 10 configured as shown in FIG. 1 is a system having a function of executing an energy planning method and proposing an appropriate energy plan for each house.
- the energy plan is a plan related to generation, maintenance, and use of energy such as electricity and gas at one or more times in the future, such as a plan for introducing energy facilities, a plan for receiving provision of energy-related services, and the like.
- the energy facility is a facility having a function of generating, maintaining and using energy, such as an electric device, a power generation system (solar cell module, etc.), a power storage system, a charging device for an electric vehicle, a fuel cell, and the like. .
- the energy-related service is a service related to energy trading by an energy supplier such as an electric power company, and includes, for example, a contract related to energy trading.
- energy-related services include, for example, a standard service with a simple pay-as-you-go system for electricity charges, various discount services for discounting electricity charges under certain conditions, and the like.
- description will be given mainly focusing on electric energy which is an example of energy, but gas and other energy can be handled in the same manner as electric energy in energy planning.
- the HEMS 200 includes a HEMS controller 210, a power measurement device 215, and a HEMS device group, as shown in FIG.
- the power measuring device 215 is provided on a distribution board or the like that branches the power supplied from the power system in the house 20a, and the power consumed by the electrical equipment connected to each branch circuit or the power generation device outputs to the power system side. It is a device having an electric circuit such as a current sensor for measuring surplus power.
- the electrical device includes a HEMS device.
- the branching of the electric power is performed for each room (for example, a bedroom, an entrance, etc.) of the house 20a, or for each part of the room (for example, an installed part of an air conditioner, an installed part of a heat pump water heater, etc.).
- the HEMS controller 210 is a device that is housed in, for example, a distribution board, acquires a measurement result from the power measurement device 215, and controls the HEMS device under a certain condition in order to reduce energy consumption.
- the HEMS controller 210 has a function of transmitting the data acquired from the HEMS device and the measurement result acquired from the power measurement device 215 to the energy planning server 100 via the network 11.
- the HEMS controller 210 includes a memory, a communication circuit, and a CPU (Central Processing Unit).
- Each HEMS device is an energy facility from the viewpoint of energy, and includes a load device 221, a load device 222, a power generation device 223, a power storage device 224, and the like having user interface (UI) means.
- UI user interface
- the load device 221 has UI means (display, touch panel, keyboard, etc.) that accepts input from a resident of the house and presents information (eg, display of video, output of audio, etc.). is there.
- the load device 221 can display data such as power consumption (amount of power used) acquired by the HEMS controller 210 from the power measurement device 215 in the HEMS 200, for example.
- power consumption amount of power used
- the occupant of the house 20a can see, for example, the amount of power used, and so-called “visualization of energy” is realized.
- the load device 222 is, for example, a lighting device, an air conditioner (air conditioner), a refrigerator, a heat pump hot water supply device, an electromagnetic cooker, a television receiver, or an electric device, or a charging device for an electric vehicle.
- the power generation device 223 is, for example, a solar cell module for solar power generation, and generates power.
- the power generated by the power generation device 223 is used, for example, to cover power consumed by other energy facilities (the load device 221, the load device 222, etc.), and if surplus occurs, the surplus power is sold to the power company. It is done.
- the power storage device 224 is a device for efficiently using power by power storage and discharge or for preparing for a power failure, and is, for example, a lithium ion power storage system.
- the power storage device 224 stores power during a time period when the power purchase price is low and supplies a high power when the power is provided by a power company, for example, as an all-electric service, etc. In the time zone, power is released and supplied to the load device 222 and the like. That is, the power storage device 224 covers the power consumed by the load device 222 and the like by releasing the stored power.
- the house 20b and the house 20c also include HEMS corresponding to the HEMS 200 in the same manner as the house 20a. Although an example in which the power generation device 223 and the power storage device 224 exist in the house 20a is shown, depending on the house, the HEMS HEMS device group in the house may not include the power generation device or the power storage device.
- the mobile terminal 30 is a terminal device (for example, a smartphone) that includes input means such as a touch panel, a display, a memory, a communication circuit, and a CPU.
- input means such as a touch panel, a display, a memory, a communication circuit, and a CPU.
- the energy planning server 100 is a server device including a recording device such as a hard disk, a memory, a communication circuit, and a CPU.
- the memory is a ROM that stores a program and data in advance, a RAM that is used to store data or the like when the program is executed, and may include, for example, a nonvolatile memory.
- the CPU executes an energy planning process by controlling a communication circuit and the like by executing a program stored in the memory.
- the energy planning server 100 has a function of acquiring data from the HEMS controller of each house, drafting an energy plan for each house, and transmitting information on the drafted energy plan to the HEMS controller of the house.
- the energy planning server 100 predicts the future energy demand in the house based on the state of the energy equipment in the house and the lifestyle of the resident of the house for the planning of the energy plan of the house, Calculate the cost.
- the calculation of the energy cost requires analysis processing such as the power generation capacity and power storage capacity of the energy equipment of the house, estimation processing for estimating the transition of the energy sales price, and the like.
- the energy planning server 100 acquires information from an external server group and refers to the information.
- the external server group includes, for example, a weather information server 91, one power company server 92, another power company server 93, a DR aggregator server 94, a gas company server 95, and other external servers not shown.
- the weather information server 91 is a server device that provides climate information such as weather for each region. The climate information can be used, for example, to calculate the amount of power generated by the solar cell module.
- the electric power company server 92 and the electric power company server 93 are server devices provided in different electric power companies, respectively, and provide information related to energy-related services provided by the electric power company (for example, information related to energy sales contracts that determine power charges and the like). It is a server device to provide.
- a DR (Demand Response) aggregator server 94 is a server device operated by the DR aggregator, and information related to transactions that change the power consumption pattern in a house in order to prevent shortage of power supply at the peak of power consumption. Is a server device that provides The gas company server 95 is a server device that provides information on gas charges.
- the electric power company server 92, the electric power company server 93, the DR aggregator server 94, and other external servers provide energy measure information indicating a future plan regarding energy.
- the energy measure information is, for example, information indicating a plan of matters that affect the income and expenditure of the introduction and operation of energy equipment at one or more times in the future, and includes information on future energy prices.
- Examples of energy measure information include, for example, information indicating an execution plan for granting subsidies for introduction of energy equipment, information indicating a change time and contents of a power sale price, and the like. Further, the energy measure information may be information indicating matters that affect the current balance of introduction and operation of energy facilities, for example, information indicating subsidies currently granted for the introduction of energy facilities. Information indicating the current power selling price may be used.
- Fig. 2 is a functional block diagram of the energy planning system.
- main components in the functional aspects of the energy planning server 100, the portable terminal 30, and the HEMS 200 described above are shown.
- the mobile terminal 30 includes an input receiving unit 31 in terms of function as shown in FIG.
- the input receiving unit 31 includes an input unit, a CPU, a communication circuit, and the like, and has a function of transmitting input information to the energy planning server 100 via the network 11.
- the HEMS 200 includes an input receiving unit 201, a collecting unit 202, a measuring unit 203, and a presenting unit 204 in terms of functions as shown in FIG.
- the input reception unit 201 is realized mainly by the load device 221 having the UI means and the HEMS controller 210, and has a function of transmitting information input by a resident of the house 20a to the energy planning server 100 via the network 11.
- the input reception unit 201 receives, for example, input of information indicating the future change of a resident in the house 20a (for example, information on a change in family structure, a load device scheduled to be purchased, etc.). Such information can also be input by the input receiving unit 31 in the mobile terminal 30.
- the collection unit 202 is realized by the power measurement device 215 and the HEMS controller 210, and collects data on the amount of power consumed by one or more energy facilities connected to each branch circuit in the house 20a measured by the power measurement device 215. It has the function to do.
- the data on the amount of power consumed by the energy equipment may include data on the amount of power output from the energy equipment such as the power generation apparatus to the power system. That is, it can be said that the collection unit 202 has a function of collecting data relating to the operation results of the energy equipment (HEMS equipment) in each branch circuit unit.
- the collection unit 202 also has a function of transmitting collected data to the energy planning server 100 via the network 11.
- FIG. 3 is a graph showing a temporal change in power consumption of a certain HEMS device (for example, an air conditioner) indicated by a measurement result of the power measuring device 215.
- the power consumption is a constant low standby power value (for example, 2 W)
- the power consumption is higher than that in the periods t2 and t4.
- the power measuring device 215 sequentially measures the amount of power and the measurement results are accumulated. Therefore, it is possible to know the time zone in which various HEMS devices are operating and the standby time zone in the house 20a from the measurement result, and the operating status (change in operating time zone, etc.) in the month, year, etc. You will be able to know.
- the measurement unit 203 is realized by the power measurement device 215 and the HEMS controller 210, and has a function of measuring the total power consumption of the house 20a and transmitting the measurement result to the energy planning server 100 via the network 11.
- the HEMS controller 210 integrates the amount of power consumed by each branch circuit measured by the power measuring device 215 to obtain a total power consumption of the house 20a.
- FIG. 4 is a graph showing the amount of power used in a house.
- the energy planning server 100 can acquire information on the amount of power used associated with time as shown in FIG.
- the presentation unit 204 is realized by the HEMS controller 210 and a load device 221 having UI means such as a tablet, and has a function of presenting (for example, displaying on the display) information received from the energy planning server 100.
- the energy planning server 100 includes functional components such as a detection unit 110, a prediction unit 120, an acquisition unit 130, a storage unit 140, and a proposal unit 150 in terms of functions.
- each functional component will be described focusing on the case where the energy planning server 100 acquires data from the HEMS controller 210 of the house 20a and draws up an energy plan for the house 20a.
- the detection unit 110 is realized by a communication circuit, a CPU that executes a program, and the like, and has a function of detecting the state of energy equipment in the house 20a and transmitting the state to the proposal unit 150.
- As the state of the energy equipment in the house 20a there are identification information (product number, product name, etc.), type (a distinction between a power generation device, a power storage device, and a load device, etc.), a use period, etc. of the energy equipment installed in the house 20a. Can be mentioned.
- the detection unit 110 acquires data on the operation results of the energy equipment collected by the collection unit 202 of the HEMS 200 and detects the state of the energy equipment in the house 20a from this data.
- the detection part 110 may detect the state of the energy equipment in the house 20a based on the input information received by the input reception part 201 of the HEMS 200 or the input reception part 31 of the portable terminal 30.
- This input information is information indicating the state of the energy equipment.
- the detection unit 110 displays, on the HEMS device or the mobile terminal 30, a questionnaire screen on which a question or the like for prompting the resident of the house 20 a to input this input information is communicated with the mobile terminal 30 or the HEMS controller 210. You may let them.
- the prediction unit 120 is realized by a communication circuit, a CPU that executes a program, and the like.
- the prediction unit 120 predicts a future lifestyle of a resident of the house 20a (a set of one or more residents) and transmits a prediction result to the suggestion unit 150. It has a function.
- the lifestyle of the resident of the house 20a includes the family structure (number of people, age, etc.) of the resident of the house 20a, the at-home time zone, the sleep time zone, and the like.
- the prediction unit 120 acquires, for example, data on the operation results of the energy equipment collected by the collection unit 202 of the HEMS 200, and grasps the status (change tendency, etc.) of the lifestyle of the resident of the house 20a from this data. , Predict future lifestyle.
- a resident's home time zone is estimated from a temporal change in power consumption of an air conditioner or the like (see FIG. 3).
- a resident's sleep time zone is determined from a temporal change in power consumption of a lighting fixture in a bedroom.
- the number of residents can be estimated from the total power consumption and the like.
- the prediction unit 120 may predict the future lifestyle of the resident of the house 20a based on the input information received by the input reception unit 201 of the HEMS 200 or the input reception unit 31 of the mobile terminal 30.
- This input information is, for example, information indicating the future change of the resident in the house 20a. Specifically, the details and timing of the change in the family structure, the purchase of energy equipment used when the resident lives in the house 20a, etc. Scheduled time etc.
- the prediction unit 120 displays, on the HEMS device or the mobile terminal 30, a questionnaire screen on which a question or the like for prompting the resident of the house 20 a to input the input information is communicated with the mobile terminal 30 or the HEMS controller 210. You may let them.
- the acquisition unit 130 is realized by a communication circuit, a CPU that executes a program, and the like, and has a function of acquiring energy measure information from any of the external server groups via the network 11 and transmitting the information to the proposal unit 150.
- the storage unit 140 is realized by a recording device, a memory, or the like, and stores facility price information indicating the price of one or more energy facilities and energy purchase price information indicating the energy purchase price in one or more energy-related services. It has a function.
- FIG. 5 is a diagram showing a configuration and example contents of the equipment price information 50.
- the facility price information 50 includes a plurality of sets of energy facilities 51 and prices 52 as information about the power generation device or the power storage device.
- the energy equipment 51 is information for identifying a power generation device or a power storage device.
- the price 52 indicates the price of the corresponding power generation device or power storage device.
- FIG. 6 is a diagram showing a configuration and example contents of the energy purchase price information 60.
- the energy purchase price information 60 includes a set of energy-related service type 61 and price information 62 for each energy-related service.
- the energy related service type 61 is information for identifying an energy related service.
- the price information 62 is a unit price for the relevant energy-related service, and is information indicating a correspondence relationship between the condition and the unit price for a service that changes the unit price for each condition.
- the unit price is a yen when the contract maximum power amount is within a certain range A (for example, 150 kWh or less), and the contract maximum power amount is larger than the certain range A.
- the unit price is b yen which is higher than a yen.
- the price information 62 is, for example, a DR (Demand Response) incentive discount service. If a specific power generator or the like corresponding to a power suppression request is introduced by a contract with a DR aggregator, the unit price of the power is set to c yen. Indicates information such as discounts. In DR (Demand Response), the charge may be changed depending on whether the power suppression request is made on the previous day or the power suppression request is made on that day.
- the price information 62 may include information such as a charge system for each time zone or day of the week, a charge system in combination with the purchase of energy equipment, and a charge system for a high-voltage power reception contract in an apartment house.
- the energy planning server 100 may acquire the equipment price information and the energy purchase price information from any of the external server groups and store them in the storage unit 140.
- the proposal unit 150 is realized by a communication circuit, a CPU that executes a program, and the like, and creates an energy plan for a house based on a detection result by the detection unit 110 and a lifestyle predicted by the prediction unit 120, and information on the energy plan Has a function of outputting. Specifically, the proposal unit 150 predicts the future energy demand in the house 20a based on the state of the energy equipment in the house 20a and the lifestyle of the resident of the house 20a, calculates the energy cost, Decide on a plan. Information regarding the determined energy plan may be transmitted to the HEMS controller 210 by the proposal unit 150 and presented in the presentation unit 204.
- FIG. 7 is a flowchart showing the operation of the energy planning system 10.
- the data etc. which are handled at the step of each process are appended to the same figure.
- This operation may be repeated periodically, for example, every few months, or an operation on the HEMS 200 by a resident of the house 20a, for example, an operation indicating a request for an energy plan for the load device 221 (tablet or the like). It may be executed as an opportunity.
- the operation of FIG. 7 is executed when any of the information used in the energy plan creation such as energy measure information, facility price information, energy purchase price information, etc. in the external server group is updated. Also good.
- the collection unit 202 of the HEMS 200 collects data related to the operation results of the energy equipment in the house 20a (step S1).
- the detection unit 110 of the energy planning server 100 detects the state of the energy equipment in the house 20a based on the information acquired from the collection unit 202, the input reception unit 201, or the input reception unit 31 (step S2). Thereby, the kind of energy equipment, usage period, etc. which exist in the house 20a are detected. This detection result is transmitted to the proposal unit 150.
- the prediction unit 120 of the energy planning server 100 predicts the future lifestyle of the resident of the house 20a based on the information acquired from the collection unit 202, the input reception unit 201, or the input reception unit 31 (step S3).
- a lifestyle that is, a resident's family structure (for example, the number of people, age, etc.)
- a current time such as a home time zone, a sleep time zone, and future changes are predicted.
- changes such as an increase in the staying time of a single resident in the house 20a by an average of 10 hours in two years and an increase in the number of resident in the house 20a by one in three years can be predicted. .
- the lifestyle can be a material for estimating the degree of energy demand. For example, it can be estimated that the power consumption in the house 20a increases as the number of family members of the house 20a increases, and it can be estimated that the power consumption tends to be low if the age of the family structure is only an elderly person. .
- the longer the home time of the resident of the house 20a, the larger the power consumption in the house 20a, and the resident of the house 20a can be estimated by referring to the statistical data investigating the correlation between the sleeping hours and the power consumption.
- the power consumption can be estimated corresponding to the sleeping hours.
- the suggestion unit 150 of the energy planning server 100 collects the measurement results of the amount of energy used up to now such as the amount of power used by the measuring unit 203 of the HEMS 200 (step S4). From this measurement result, it is possible to know the transition of the amount of energy used.
- the proposal unit 150 collects various information and predicts future energy demand (that is, future energy consumption) in the house 20a (step S5). Specifically, the proposal unit 150 determines the amount of energy usage obtained from the state of the energy equipment detected in step S2, the future lifestyle of the resident predicted in step S3, and the measurement result collected in step S4. Predictions are made based on changes and various data (local climate information, etc.) acquired from external servers. Depending on the type of energy equipment, there are devices whose amount of energy generation or consumption varies depending on the time of day, season, etc., so energy demand can be predicted based on information indicating the characteristics of each type. Good.
- heat pump water heaters have the characteristic that the water temperature is raised by using the power during the night time, and the charging device of the electric vehicle is mainly used during the night time Has characteristics.
- the air conditioner is used in the time zone from daytime to nighttime in summer, used in the time zone from nighttime to morning in winter, and hardly used in spring and autumn.
- the proposal unit 150 determines an energy plan (step S6). This determination is based on the energy demand predicted in step S5, various data acquired from an external server (equipment price information, energy purchase price information, energy measure information, etc.), and the existing energy facilities of the house 20a detected in step S2. Based on the state of the In response to the energy demand that fluctuates according to the future lifestyle predicted in step S3, energy facilities such as power generation devices and power storage devices are introduced at an effective time or energy-related services are provided at an effective time. You can decide on an energy plan to receive. The determination of the energy plan is performed by repeatedly performing processes such as selection of energy equipment, selection of energy-related services, and calculation of energy cost after calculation of the energy cost in the case of maintaining the current state.
- the energy cost in the case of maintaining the current state the current usage period of the energy facility, the power consumption or power generation capacity of the energy facility, the energy purchase price information, and the like are referred to.
- the energy equipment and energy-related services to be selected are changed each time it is repeated.
- the energy facility to be installed is selected from the product list information of the power generation device and the power storage device acquired from the external server, or the energy related service to be provided is the service list information acquired from the external server such as an electric power company. Select from.
- the energy cost is calculated based on the future energy demand and the selected energy equipment or energy-related service. This energy cost is calculated by analyzing the power generation capacity, power storage capacity, etc.
- the energy measure information is, for example, a current power selling price, a provision such as a subsidy amount for equipment introduction, or a future subsidization amount or other energy price change schedule.
- a calculation algorithm for calculating the energy cost an optimal algorithm is set in advance. For example, an appropriate algorithm for reducing the energy cost is used for a time slot for storing power in the power storage device and a time slot for discharging. If the calculated energy cost satisfies a predetermined condition, the energy plan is determined so that the selected energy facility is introduced and the selected energy-related service is provided.
- This predetermined condition can be determined arbitrarily.
- the energy cost may be reduced as compared with a case where new energy-related services are not provided without introducing new energy equipment.
- it may be a condition that the capital investment necessary for introducing the energy equipment can be recovered within a certain period by reducing the energy cost.
- conditions for price effectiveness of energy equipment may be determined.
- the proposal unit 150 determines an energy plan related to energy equipment or energy-related services whose energy cost satisfies a predetermined condition.
- the proposal unit 150 outputs (for example, transmits to the HEMS controller 210) information on the energy plan determined in step S6 (information on energy equipment to be introduced, information on energy-related services to be provided, etc.) (step S7). .
- information related to the energy plan is displayed on the load device 221 (tablet or the like) of the house 20a.
- FIG. 8 is a diagram illustrating a screen example of information related to the energy plan displayed on the load device 221.
- the screen 300 in the figure includes display elements 301 and 302. For example, in 202x / y / month in the future such as three years later, the power generation device A and the power storage device X are introduced into the house 20a, and the DR incentive discount service is provided.
- the resident of the house 20a can recognize an appropriate energy plan in view of the energy cost in the house 20a.
- the information regarding the energy plan output in step S7 there is a predicted value of energy cost for energy such as electricity and gas from the present to a predetermined time in the future.
- the predicted amount of energy cost that can be reduced until a predetermined time in the future that is, the potential for cost reduction by energy equipment
- the recommended power contract the introduction or replacement of the recommended energy equipment
- the information output in step S7 may include information indicating the current energy management state (for example, information on the number, type, and operating status of the current energy facility).
- the energy plan may be calculated for each partial period by dividing the current predetermined period from the present into a plurality of partial periods and calculating the energy cost. That is, for example, the energy plan may be shown separately for each partial period from 5 years to 5 years later, from 5 years to 15 years later, and from 15 years to 25 years later.
- An example of predicting a family structure that is an element of a lifestyle based on data related to the operation results of the energy equipment collected in step S1 is, for example, as follows.
- the total power consumption (power consumption) of the energy equipment in the house 20a is maximum, it is a late time on the night before the holidays, and there is almost no maximum time on a holiday morning. Can predict the number of family members as one or two.
- the time zone when the total power consumption of the energy equipment in the house 20a is maximum is later than 21:00 at night, it can be predicted that there is no person of the age of elementary school in the family structure.
- the family structure when the total power consumption of the energy equipment in the house 20a is maximum at around 21:00 at night, the family structure includes persons of the age of elementary school age, and the number of members of the family structure Can be expected to be 3 or more. Moreover, when the sleep time zone of the resident in the house 20a is almost the same on weekdays and holidays, it can be predicted that the family structure is only elderly. In addition, by collecting data such as changes over time in the power consumption of lighting equipment in each room, it is estimated that only a specific room has gone to bed by 21:00. Can be expected to be included.
- An example of predicting at-home time, which is an element of a lifestyle, based on the data related to the operation performance of the energy equipment collected in step S1 is as follows.
- the time zone in which the total power consumption (or gas consumption) of the energy equipment in the house 20a is maximized is in the morning, noon, and night, it can be predicted that there are residents who stay at home all day.
- the total power consumption of the daytime energy equipment in the house 20a changes periodically, it can be predicted that there are residents who may or may not be at home due to shift work or the like.
- it can be predicted that there are residents with many overnight stays.
- an example of predicting a family structure that is one element of a lifestyle based on data input to a resident of the house 20a is as follows, for example. If an input is made that the resident of the house 20a is one and the person is 30 years old, for example, the family composition will be two due to marriage after five years, and the family composition will be three due to childbirth after ten years Can do. This prediction can be performed by obtaining, for example, statistical data on the average age of marriage and the age of childbirth in the area of the house 20a from an external server and referring to this data.
- the family composition of the resident of the house 20a is two parents and one child, for example, the child becomes independent after two years and the family composition becomes two, and after 30 years, It can be expected that an independent child will return to live with the parent and the family structure will be three.
- This prediction can be performed by obtaining, for example, statistical data of an average child's independence (separation) age or the return age for cohabitation with a parent from an external server and referring to this data.
- the energy cost is calculated by the amount of power used per hour (kWh) ⁇ the unit price of charges.
- the unit price of charges is determined according to the maximum amount of contract power.
- the energy cost is the amount of power used in each time zone of each day x the unit price of the corresponding time of the day.
- the energy cost is, for example, the purchase price of the energy facility + the amount of power used ⁇ Calculated by discounted unit price x contract years.
- the energy cost is calculated by, for example, the amount of power used ⁇ the discounted unit price of charge ⁇ the number of contract years. The specific amount is subtracted every time the power suppression request is made.
- the energy cost is calculated as a negative value by the amount of power sold x unit price of power sold.
- the energy cost is calculated by the amount of power used x discounted unit price of charge x the number of contract years.
- the There may be a service (contract) in which a fixed amount is added to the energy cost as a basic fee.
- Example of energy plan In the following, a specific example of an energy plan for the house 20b is shown on the premise that the family structure of the resident of the house 20b is a family of four of a couple, an 18-year-old eldest son, and a 15-year-old eldest daughter.
- a gas water heater and a gasoline vehicle currently exist in the house 20b.
- the power contract will be reviewed from five to fifteen years later, energy equipment will be installed, and cars will be replaced. From 15 to 25 years later, the family structure will change due to children's independence. At this stage, energy facilities and electric vehicles will be purchased.
- the average electric power consumption per month in the past 20 years in the house 20b is Xb (kWh).
- Xb kWh
- the energy cost is predicted and calculated based on the power consumption per month and the power consumption ratio for each time zone, but the analysis was made according to the season, month, day of the week, etc. Prediction accuracy may be increased using actual data on the amount of power used.
- Z (yen) (Xb (kWh) x simple metered rate unit price Ya (yen / kWh) + basic charge Yb (yen)) x 12 (month) x 5 (year).
- Zt (yen) Xb ⁇ (Yb1 ⁇ P1 + Yb2 ⁇ P2 + Yb3 ⁇ P3) + basic charge Yb0 (yen) ⁇ 12 (month) ⁇ 10 (year).
- Yb1 to Yb3 are unit prices (yen / kWh) in time zones 1 to 3
- P1 to 3 are ratios (%) of power consumption in each time zone to the total power consumption.
- an electric power cost Zp (yen) is calculated as an energy plan when a power generation device such as a solar cell module is introduced.
- Zp (yen) power generation device introduction cost Cp ⁇ (annual power sales revenue Y1 ⁇ yearly power saving amount Y2 by private consumption) ⁇ 10 (year).
- the annual power sales revenue Y1 is the standard value Xp (kWh) of the annual power generation prediction amount ⁇ the power sales unit price Yp (yen / kWh).
- the annual power saving amount Y2 due to self-consumption is the standard value Xp (kWh) of the predicted annual power generation ⁇ the self-consumption ratio Pp ⁇ (Yb1 ⁇ P1 + Yb2 ⁇ P2 + Yb3 ⁇ P3).
- the private consumption ratio Pp is a standard value of a ratio that can be used for private consumption with respect to the total power generation amount.
- the power cost Zd (yen) is calculated as an energy plan when the DR incentive discount service is optionally contracted.
- Zd (yen) Xb ⁇ (Yb1 ⁇ P1 + Yb2 ⁇ P2 + Yb3 ⁇ P3) ⁇ Pd ⁇ 12 (month) ⁇ 10 (Year).
- the family structure changes.
- the average value of the power consumption per month of the house 20b is proportional to the number of family members.
- calculations may be performed in consideration of the resident's age, sex, and the like.
- the power cost Zp2 (yen) when introducing the power generation device calculates the power cost Zp2 (yen) when introducing the electric vehicle, and the power cost Zd2 (yen) when performing an optional contract for the DR incentive discount service. These can be calculated in the same manner as Zp, Ze, and Zd described above by applying the power consumption amount Xb2 instead of the power consumption amount Xb.
- a power share discount service can be applied when load leveling can be achieved by combining power consumption patterns of elderly households and young households.
- Each power cost calculated as described above, conditions for the calculation, and the like can be output in step S7 as information on the energy plan.
- the degree of information (type, level of detail, accuracy, amount of information, etc.) related to the energy plan output by the proposal unit 150 in the energy planning system 10 described above is changed according to the input by the resident of the house receiving this information proposal. It is good as well.
- the energy planning server 100 detects the energy plan necessity degree, which is the degree to which a resident of the house needs to propose an energy plan based on information from the input receiving unit 31, the input receiving unit 201 or the collecting unit 202.
- a detector 160 may be provided.
- FIG. 9 shows a functional block diagram of the energy planning system when the energy planning server 100 is modified in this way.
- the detection unit 160 is realized by a communication circuit, a CPU that executes a program, and the like, and transmits the detected energy plan necessity level to the proposal unit 150.
- the degree of necessity of the energy plan may be estimated based on, for example, determining the height of the resident's interest in reducing energy consumption based on the input of an answer to a questionnaire.
- the proposing unit 150 determines the degree of information to be output in step S7 according to the energy plan necessity. For example, the proposal unit 150 may determine to increase the amount of information related to the output energy plan as the necessity level of the energy plan is higher.
- the number of mobile terminals 30 having the input receiving unit 31 is not limited to one, and a plurality of mobile terminals 30 may be provided or may not be provided.
- the load device 221 having the UI means shown in the first embodiment includes a load device (for example, a monitor) that has only the output means without the input means, and the load device includes the input receiving unit 201. However, it can function as the presentation unit 204.
- the measurement unit 203 shown in the first embodiment may be realized by a smart meter (power meter) and the HEMS controller 210, and the integrated power consumption per unit time (for example, 30 minutes) is calculated from the smart meter.
- the HEMS controller 210 may collect.
- all or functions of the energy planning server 100 (functions of the detection unit 110, the prediction unit 120, the acquisition unit 130, the storage unit 140, the suggestion unit 150, and the detection unit 160) shown in the first embodiment and the above-described modification example or A part may be executed by the HEMS controller 210.
- any function can be shared between the HEMS controller 210 and the energy planning server 100.
- all functions of the energy planning server 100 may be executed by one device installed in a house. This one apparatus may entrust execution of some functions to another apparatus and acquire the execution result.
- this device is a device that includes a processor, a memory, and input / output means, and implements the functions of the detection unit 110, the prediction unit 120, and the proposal unit 150.
- each device in the energy planning system 10 described above is not necessarily limited to the order as described above, and the execution order is within a range not departing from the gist of the invention. It can be replaced or part of it can be omitted.
- all or part of the processing procedure (see FIG. 7) by each device may be realized by hardware of each device or may be realized by using software.
- the processing by software is realized by a CPU included in each device executing a control program stored in a memory.
- the program may be recorded on a recording medium and distributed or distributed. For example, by installing the distributed control program in a computer and causing the CPU to execute it, it is possible to cause the computer to perform all or part of the processing procedure shown in FIG.
- the comprehensive or specific various aspects of the present invention include one or a plurality of combinations such as an apparatus, a system, a method, an integrated circuit, a computer program, and a computer-readable recording medium.
- An energy planning apparatus (energy planning server 100) according to one aspect of the present invention includes a detection unit 110 that detects the state of energy equipment in a house 20a, 20b, 20c, and the like, and the future life of a resident in the house.
- a prediction unit 120 that predicts a style;
- a suggestion unit 150 that determines information on the energy plan for the house based on the detection result of the detection unit 110 and the lifestyle predicted by the prediction unit 120 and outputs the information; Is provided.
- the energy planning system 10 which concerns on 1 aspect of this invention is the detection part 110 which detects the state of the energy equipment in the house 20a, 20b, 20c etc., and the prediction part which estimates the future lifestyle of the resident of the house 120, and a suggestion unit 150 that determines information related to the energy plan for the house based on the detection result of the detection unit 110 and the lifestyle predicted by the prediction unit 120 and outputs the information. is there.
- This configuration will make it possible to propose an appropriate energy plan for the house. Accordingly, the resident of the house can recognize what should be performed as energy management in the house with reference to the energy plan.
- the energy planning system 10 includes a measurement unit 203 that measures the amount of energy used in the house, and the suggestion unit 150 determines information related to the energy plan based on the measurement result by the measurement unit 203. It is good.
- the energy planning system 10 further includes an acquisition unit 130 that externally acquires energy measure information indicating current regulations or future plans related to energy, and the suggestion unit 150 is configured to 1 or A plurality of energy facilities may be specified, and information indicating the specified energy facilities may be determined as information regarding the energy plan.
- the energy measure information is information related to the future energy price
- the proposing unit 150 determines information related to the energy plan by specifying an energy facility effective for suppressing the energy cost based on the energy measure information. It may be done.
- the energy planning system 10 further includes a storage unit 140 that stores facility price information indicating the price of one or a plurality of energy facilities, and the suggestion unit 150 includes one or more energy based on the facility price information. It is also possible to calculate the price-effectiveness of each facility, identify one or a plurality of energy facilities whose calculated price-effectiveness satisfies a predetermined standard, and determine information indicating the specified energy facilities as information on the energy plan. .
- the detection of the state of the energy equipment by the detection unit 110 includes detection of the current usage period of the energy equipment, and the proposal unit 150 determines information on the energy plan based on the usage period. It is good as well.
- the energy planning system 10 includes a collection unit 202 that collects data related to operation results measured for one or more energy facilities in the house, and the detection unit 110 includes data collected by the collection unit 202.
- the prediction unit 120 may perform the prediction based on the data collected by the collection unit 202.
- the prediction unit 120 predicts a change in the lifestyle of the resident of the house, and the suggestion unit 150 uses the energy equipment to be introduced when the lifestyle predicted by the prediction unit 120 changes.
- information indicating an energy-related service to be provided may be determined as information regarding the energy plan.
- the energy planning system 10 includes input receiving units 201 and 31 that receive input of information indicating a future change of a resident in the house, and the prediction unit 120 is received by the input receiving units 201 and 31.
- the prediction may be performed based on the information related to the input.
- the energy planning method is an energy planning method executed by one or a plurality of computers, the detection step S2 detecting the state of the energy equipment in the house, and the resident of the house Predicting step S3 for predicting the future lifestyle of the person, determining the information regarding the energy plan for the house based on the detection result in the detecting step S2 and the lifestyle predicted in the predicting step S3, and outputting the information
- An energy planning method including a proposal step S7.
- a control program is a control program for causing a computer to execute an energy planning process, and the energy planning process includes a detection step S2 for detecting a state of energy equipment in a house, Predicting step S3 for predicting the future lifestyle of the resident of the house, and determining information on the energy plan for the house based on the detection result in the detecting step S2 and the lifestyle predicted in the predicting step S3 It is a control program including proposal step S7 which outputs information.
- the above-described energy planning system 10 further includes, for example, a storage unit 140 that stores energy purchase price information indicating the energy purchase price in one or more energy-related services, and the proposal unit 150 includes the energy purchase price.
- Calculate the price-effectiveness of one or more energy-related services based on the information identify one or more energy-related services for which the calculated price-effectiveness satisfies a predetermined standard, and indicate the identified energy-related services It may be determined as information on the energy plan.
- a predetermined standard is when an energy-related service requires an investment such as a purchase price for the introduction of a certain energy facility, and the investment is recovered within a certain period by reducing the energy cost of the energy-related service. It can be done.
- the price effect is, for example, the effect of reducing the energy cost for investment.
- an energy plan based on the price-effectiveness of energy-related services can be proposed.
- the energy planning system 10 further stores storage unit 140 that stores facility price information indicating the price of one or more energy facilities and energy purchase price information indicating the energy purchase price in one or more energy-related services.
- the proposal unit 150 calculates the price effectiveness of each of the one or more energy facilities based on the equipment price information, and calculates the price effectiveness of the one or more energy-related services based on the energy purchase price information. Identifying one or more energy facilities and one or more energy-related services for which the calculated price-effectiveness satisfies a predetermined standard, and determining information indicating the identified energy facilities and energy-related services as information on the energy plan It is good. Thereby, the proposal of the energy plan based on the price effectiveness of an energy installation and an energy related service can be performed.
- the information regarding the energy plan determined by the proposal unit 150 includes information indicating an energy facility to be introduced, information indicating an effect when the energy facility is introduced, or an energy-related service to be provided. It is good also as including the information which shows the effect at the time of receiving the information to show, and the provision of the said energy related service.
- the information indicating the effect may include, for example, information indicating risk, merit, introduction results in other houses, and the like. Thereby, the resident of the house can recognize the effect when the proposed energy plan is executed.
- the suggestion unit 150 may determine the information regarding the energy plan based on the provision period until the present of the energy-related service provided by the house. Thereby, the proposal of the energy plan according to the duration of the contract accompanying an energy related service can be performed.
- the energy planning system 10 further includes a detection unit 160 that detects the degree of necessity of the energy plan, which is a degree that the resident of the house needs the proposal of the energy plan, and the proposal unit 150 includes the detection unit 160.
- the information regarding the energy plan may be determined according to the necessity level of the energy plan detected by. Thereby, the proposal according to the necessity of the resident of a house can be performed.
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Power Engineering (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Finance (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Accounting & Taxation (AREA)
- Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Human Resources & Organizations (AREA)
- Automation & Control Theory (AREA)
- Public Health (AREA)
- Radar, Positioning & Navigation (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Electromagnetism (AREA)
- Operations Research (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Medical Informatics (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- General Engineering & Computer Science (AREA)
Abstract
Description
以下、実施の形態について、図面を参照しながら説明する。ここで示す実施の形態は、いずれも本発明の一具体例を示すものである。従って、以下の実施の形態で示される数値、形状、材料、構成要素、構成要素の配置及び接続形態、並びに、ステップ(工程)及びステップの順序等は、一例であって本発明を限定するものではない。以下の実施の形態における構成要素のうち、独立請求項に記載されていない構成要素については、任意に付加可能な構成要素である。また、各図は、模式図であり、必ずしも厳密に図示されたものではない。
図1は、実施の形態に係るエネルギープラニングシステム10に関連する装置群を示すシステム概略図である。同図に示すエネルギープラニングシステム10では、各住宅(住宅20a、住宅20b、住宅20c等)に設置されたHEMS200とエネルギープラニングサーバ100と、携帯端末30とがネットワーク11で通信可能となるように構成されている。また、エネルギープラニングサーバ(エネルギープラニング装置)100は、外部サーバ群とネットワーク11を介して通信可能となっている。ネットワーク11は、例えばインターネット等の広域ネットワークを含む。
以下、上述の構成を備えるエネルギープラニングシステム10におけるエネルギープランの立案に係る動作について図7に即して説明する。ここでは、住宅20aについてのエネルギープランの立案を例として説明するが、住宅20b、住宅20c等についても同様である。
以下、ステップS3における生活スタイルの予測の具体例を示す。なお、予測方法は、例えばアンケートその他に基づく統計等に基づき予め決定されて利用される。
以下、ステップS6のエネルギープランの決定のためになされるエネルギーコストの算出の具体例を示す。このエネルギーコストの算出は、例えば提供を受けるべきエネルギー関連サービスを選定し、対応する契約内容に基づいてなされる。
以下、住宅20bの居住者の家族構成が、夫婦と18歳の長男と15歳の長女との4人家族であることを前提とし、住宅20bについてのエネルギープランの立案の一具体例を示す。前提として、住宅20bには、現在、ガス給湯器及びガソリン自動車が存在する。また、現在から5年後まで生活スタイルに大きな変化がなく、5年後から15年後までに電力契約の見直しをして、エネルギー設備を導入し、自動車を買い換える予定である。そして、15年後から25年後までに子供の独立により家族構成が変化し、またこの段階でもエネルギー設備の導入、電気自動車の購入等を行う予定である。また、住宅20bでの過去5年間の一ヶ月あたりの使用電力量の平均値はXb(kWh)であるものとする。ここでは、説明の便宜上、単純化して一ヶ月あたりの使用電力量及び時間帯毎の使用電力量比率に基づいてエネルギーコストの予測計算を行う例を示すが、季節、月、曜日等により分析した使用電力量の実績データを用いて予測の精度を高めてもよい。
以上、実施の形態1によりエネルギープラニングシステム10について説明したが、上述した実施の形態は一例にすぎず、各種の変更、付加、省略等が可能であることは言うまでもない。
20a、20b、20c 住宅
31、201 入力受付部
100 エネルギープラニングサーバ(エネルギープラニング装置)
110 検知部
120 予測部
130 取得部
140 記憶部
150 提案部
160 検出部
202 収集部
203 測定部
Claims (11)
- 住宅におけるエネルギー設備の状態を検知する検知部と、
前記住宅の居住者の将来の生活スタイルを予測する予測部と、
前記検知部による検知結果及び前記予測部により予測された生活スタイルに基づいて前記住宅のためのエネルギープランに関する情報を決定して当該情報を出力する提案部とを備える
エネルギープラニングシステム。 - 前記エネルギープラニングシステムは、前記住宅におけるエネルギーの使用量を測定する測定部を備え、
前記提案部は、前記測定部による測定結果に基づいて、前記エネルギープランに関する情報を決定する
請求項1記載のエネルギープラニングシステム。 - 前記エネルギープラニングシステムは更に、エネルギーに関する現在の規定又は将来の計画を示すエネルギー施策情報を外部から取得する取得部を備え、
前記提案部は、前記エネルギー施策情報に基づいて1又は複数のエネルギー設備を特定して、特定したエネルギー設備を示す情報を前記エネルギープランに関する情報として決定する
請求項2記載のエネルギープラニングシステム。 - 前記エネルギー施策情報は、将来のエネルギー価格に関する情報であり、
前記提案部は、前記エネルギー施策情報に基づきエネルギーコストの抑制に有効なエネルギー設備を特定することにより前記決定を行う
請求項3記載のエネルギープラニングシステム。 - 前記エネルギープラニングシステムは更に、1又は複数のエネルギー設備の価格を示す設備価格情報を記憶する記憶部を備え、
前記提案部は、前記設備価格情報に基づいて1又は複数のエネルギー設備各々の価格対効果を算定し、算定した価格対効果が所定基準を満たす1又は複数のエネルギー設備を特定して、特定したエネルギー設備を示す情報を前記エネルギープランに関する情報として決定する
請求項1記載のエネルギープラニングシステム。 - 前記検知部によるエネルギー設備の状態の前記検知は、当該エネルギー設備の現在までの使用期間についての検知を含み、
前記提案部は、前記使用期間に基づいて前記エネルギープランに関する情報を決定する
請求項1記載のエネルギープラニングシステム。 - 前記エネルギープラニングシステムは、前記住宅における1以上のエネルギー設備について測定された稼動実績に係るデータを収集する収集部を備え、
前記検知部は、前記収集部により収集されたデータに基づいて前記検知を行い、
前記予測部は、前記収集部により収集されたデータに基づいて前記予測を行う
請求項1記載のエネルギープラニングシステム。 - 前記予測部は、前記住宅の居住者の生活スタイルの変化を予測し、
前記提案部は、前記予測部により予測された生活スタイルが変化する際に、導入されるべきエネルギー設備を示す情報又は提供を受けるべきエネルギー関連サービスを示す情報を、前記エネルギープランに関する情報として決定する
請求項1記載のエネルギープラニングシステム。 - 前記エネルギープラニングシステムは、前記住宅における居住者の将来の変化を示す情報の入力を受け付ける入力受付部を備え、
前記予測部は、前記入力受付部により受け付けられた入力に係る情報に基づいて前記予測を行う
請求項8記載のエネルギープラニングシステム。 - 1又は複数のコンピュータによって実行されるエネルギープラニング方法であって、
住宅におけるエネルギー設備の状態を検知する検知ステップと、
前記住宅の居住者の将来の生活スタイルを予測する予測ステップと、
前記検知ステップにおける検知結果及び前記予測ステップにおいて予測された生活スタイルに基づいて前記住宅のためのエネルギープランに関する情報を決定して当該情報を出力する提案ステップとを含む
エネルギープラニング方法。 - 住宅におけるエネルギー設備の状態を検知する検知部と、
前記住宅の居住者の将来の生活スタイルを予測する予測部と、
前記検知部による検知結果及び前記予測部により予測された生活スタイルに基づいて前記住宅のためのエネルギープランに関する情報を決定して当該情報を出力する提案部とを備える
エネルギープラニング装置。
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15/517,860 US10811902B2 (en) | 2014-10-10 | 2015-10-09 | Energy planning system and energy planning method considering a timing of a change in a total number of residents in a home |
AU2015329459A AU2015329459B2 (en) | 2014-10-10 | 2015-10-09 | Energy planning system and energy planning method |
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2014209401A JP5958921B2 (ja) | 2014-10-10 | 2014-10-10 | エネルギープラニングシステム |
JP2014-209401 | 2014-10-10 | ||
JP2016057681A JP2016146199A (ja) | 2014-10-10 | 2016-03-22 | エネルギープラニングシステム |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2016056243A1 true WO2016056243A1 (ja) | 2016-04-14 |
Family
ID=61526211
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/JP2015/005130 WO2016056243A1 (ja) | 2014-10-10 | 2015-10-09 | エネルギープラニングシステム及びエネルギープラニング方法 |
Country Status (4)
Country | Link |
---|---|
US (1) | US10811902B2 (ja) |
JP (2) | JP5958921B2 (ja) |
AU (1) | AU2015329459B2 (ja) |
WO (1) | WO2016056243A1 (ja) |
Families Citing this family (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10523008B2 (en) * | 2015-02-24 | 2019-12-31 | Tesla, Inc. | Scalable hierarchical energy distribution grid utilizing homogeneous control logic |
US20170363666A1 (en) * | 2016-06-16 | 2017-12-21 | Enphase Energy, Inc. | Method and apparatus for energy flow visualization |
JP2018049321A (ja) * | 2016-09-20 | 2018-03-29 | ヤフー株式会社 | 推定装置、推定方法および推定プログラム |
US11677242B2 (en) * | 2017-12-25 | 2023-06-13 | Sony Corporation | Power supply arbitration device, power supply device, power consumption device, power supply remote controller, power supply arbitration method, and power system |
JP2019165584A (ja) * | 2018-03-20 | 2019-09-26 | 本田技研工業株式会社 | 情報提供装置、情報提供方法及びシステム |
JP2019164643A (ja) * | 2018-03-20 | 2019-09-26 | 本田技研工業株式会社 | 情報提供装置、情報提供方法及びシステム |
DE102019106341B4 (de) * | 2019-03-13 | 2024-10-24 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | Verfahren und Vorrichtung für Energiemanagement für ein Elektrofahrzeug- Ladesystem |
JP7467419B2 (ja) | 2019-03-29 | 2024-04-15 | 日本瓦斯株式会社 | 情報処理装置、情報処理方法、およびプログラム |
JP7400252B2 (ja) * | 2019-08-01 | 2023-12-19 | 住友電気工業株式会社 | 蓄電池導入支援装置、蓄電池導入支援方法、およびコンピュータプログラム |
US11322944B2 (en) * | 2020-03-20 | 2022-05-03 | Arcadia Power, Inc. | Methods of optimizing energy usage from energy suppliers |
US11658491B2 (en) | 2019-08-15 | 2023-05-23 | Arcadia Power, Inc. | Methods of optimizing energy usage from energy suppliers |
JP2021039497A (ja) * | 2019-09-02 | 2021-03-11 | 旭化成株式会社 | ライフイベント解析装置およびプログラム |
KR20210077916A (ko) * | 2019-12-18 | 2021-06-28 | 엘지전자 주식회사 | 인공 지능을 이용한 가전 기기의 통합 제어 방법 및 그 시스템 |
JP7568689B2 (ja) | 2022-09-27 | 2024-10-16 | 楽天グループ株式会社 | 情報処理装置、情報処理方法、および情報処理プログラム |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003271801A (ja) * | 2002-03-18 | 2003-09-26 | Hitachi Ltd | 電気製品のマーケティング方法およびシステム |
JP2004030002A (ja) * | 2002-06-24 | 2004-01-29 | Hitachi Ltd | 需要予測方法およびシステム |
JP2005284852A (ja) * | 2004-03-30 | 2005-10-13 | Nifty Corp | 消費電力量データ処理方法 |
JP2014071654A (ja) * | 2012-09-28 | 2014-04-21 | Kddi Corp | ユーザ属性を考慮した電力消費関連支援装置、携帯端末、プログラム及び方法 |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7274975B2 (en) * | 2005-06-06 | 2007-09-25 | Gridpoint, Inc. | Optimized energy management system |
JP2008158701A (ja) | 2006-12-21 | 2008-07-10 | Showa Shell Sekiyu Kk | 表示装置、方法及びコンピュータプログラム |
US20110231320A1 (en) * | 2009-12-22 | 2011-09-22 | Irving Gary W | Energy management systems and methods |
JP5587641B2 (ja) * | 2010-03-10 | 2014-09-10 | パナソニック株式会社 | 電力供給システム |
US8560133B2 (en) * | 2010-09-01 | 2013-10-15 | General Electric Company | Energy smart system |
US8510255B2 (en) * | 2010-09-14 | 2013-08-13 | Nest Labs, Inc. | Occupancy pattern detection, estimation and prediction |
US20120330472A1 (en) * | 2011-06-21 | 2012-12-27 | General Electric Company | Power consumption prediction systems and methods |
US9569804B2 (en) * | 2012-08-27 | 2017-02-14 | Gridium, Inc. | Systems and methods for energy consumption and energy demand management |
US9595070B2 (en) * | 2013-03-15 | 2017-03-14 | Google Inc. | Systems, apparatus and methods for managing demand-response programs and events |
US20150057820A1 (en) * | 2013-08-21 | 2015-02-26 | Fujitsu Limited | Building energy management optimization |
-
2014
- 2014-10-10 JP JP2014209401A patent/JP5958921B2/ja active Active
-
2015
- 2015-10-09 US US15/517,860 patent/US10811902B2/en active Active
- 2015-10-09 AU AU2015329459A patent/AU2015329459B2/en not_active Ceased
- 2015-10-09 WO PCT/JP2015/005130 patent/WO2016056243A1/ja active Application Filing
-
2016
- 2016-03-22 JP JP2016057681A patent/JP2016146199A/ja active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003271801A (ja) * | 2002-03-18 | 2003-09-26 | Hitachi Ltd | 電気製品のマーケティング方法およびシステム |
JP2004030002A (ja) * | 2002-06-24 | 2004-01-29 | Hitachi Ltd | 需要予測方法およびシステム |
JP2005284852A (ja) * | 2004-03-30 | 2005-10-13 | Nifty Corp | 消費電力量データ処理方法 |
JP2014071654A (ja) * | 2012-09-28 | 2014-04-21 | Kddi Corp | ユーザ属性を考慮した電力消費関連支援装置、携帯端末、プログラム及び方法 |
Also Published As
Publication number | Publication date |
---|---|
JP5958921B2 (ja) | 2016-08-02 |
US20170310161A1 (en) | 2017-10-26 |
JP2016146199A (ja) | 2016-08-12 |
JP2016081143A (ja) | 2016-05-16 |
AU2015329459B2 (en) | 2018-06-28 |
US10811902B2 (en) | 2020-10-20 |
AU2015329459A1 (en) | 2017-04-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP5958921B2 (ja) | エネルギープラニングシステム | |
Hao et al. | Potentials and economics of residential thermal loads providing regulation reserve | |
Oprea et al. | Flattening the electricity consumption peak and reducing the electricity payment for residential consumers in the context of smart grid by means of shifting optimization algorithm | |
Faruqui et al. | Arcturus: international evidence on dynamic pricing | |
JP4938750B2 (ja) | 消費電力予測装置、消費電力予測方法およびプログラム | |
JP6786814B2 (ja) | 情報処理装置、情報処理方法、およびプログラム | |
JP6676477B2 (ja) | 建物の消費電力予測システム、蓄電装置の制御システム、及び蓄電装置の制御方法 | |
Yang et al. | Quantifying the benefits to consumers for demand response with a statistical elasticity model | |
WO2016056248A1 (ja) | 行動管理装置、行動管理システムおよび行動管理方法 | |
Tanaka et al. | Voluntary electricity conservation of households after the Great East Japan Earthquake: A stated preference analysis | |
Jacquot et al. | Demand side management in the smart grid: An efficiency and fairness tradeoff | |
JP2019096078A (ja) | 管理装置および算出方法 | |
JP2016143319A (ja) | 管理装置、通信装置、管理方法、およびプログラム | |
Zarnikau et al. | The response of large industrial energy consumers to four coincident peak (4CP) transmission charges in the Texas (ERCOT) market | |
US20160223601A1 (en) | Energy monitoring method and apparatus | |
JP2021096872A (ja) | 電力供給システム及び、電力管理方法 | |
WO2015064024A1 (ja) | 特典情報決定装置および特典情報決定システム | |
JP2005045899A (ja) | 電力取引システムおよび電力取引方法 | |
JP6437139B2 (ja) | 電力管理装置、サーバ、電力管理システム、電力管理方法、及び、プログラム | |
JP2005070959A (ja) | 電力需要情報処理システム | |
Arlt et al. | Impact of real-time pricing and residential load automation on distribution systems | |
JP6626359B2 (ja) | 電力関連情報提示装置、電気関連情報提示方法及びプログラム | |
JP5984095B2 (ja) | 行動管理装置、行動管理方法およびプログラム | |
JP2016095591A (ja) | 電力管理装置、及び情報提示方法 | |
Miriyala | ASSESSMENT OF RESIDENTIAL LOAD PROFILES AND DEMAND RESPONSE POTENTIAL FOR A RENEWABLE-BASED MICROGRID: A CASE STUDY OF AUROVILLE TOWNSHIP IN INDIA |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 15848813 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 15517860 Country of ref document: US |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
ENP | Entry into the national phase |
Ref document number: 2015329459 Country of ref document: AU Date of ref document: 20151009 Kind code of ref document: A |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 15848813 Country of ref document: EP Kind code of ref document: A1 |