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WO2025212785A1 - Échange d'énergie en excès - Google Patents

Échange d'énergie en excès

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Publication number
WO2025212785A1
WO2025212785A1 PCT/US2025/022765 US2025022765W WO2025212785A1 WO 2025212785 A1 WO2025212785 A1 WO 2025212785A1 US 2025022765 W US2025022765 W US 2025022765W WO 2025212785 A1 WO2025212785 A1 WO 2025212785A1
Authority
WO
WIPO (PCT)
Prior art keywords
customer site
capacity
energy
energy capacity
customer
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/US2025/022765
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English (en)
Inventor
SaLisa Berrien
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of WO2025212785A1 publication Critical patent/WO2025212785A1/fr
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06Q30/0206—Price or cost determination based on market factors
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q30/0283—Price estimation or determination
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q30/04—Billing or invoicing

Definitions

  • a system for exchanging excess energy capacity on a power network includes one or more processors configured to perform operations comprising: receiving, at a first time, historical energy usage data from a gateway device installed at a first customer site on the power network, wherein the gateway device includes one or more sensors configured to measure energy capacity of one or more energy assets at the first customer site; using a trained artificial intelligence (Al) model to forecast future energy capacity of the first customer site that may occur during a time period after the first time; determining a recommendation of a sellable energy capacity for the first customer site based at least in part on the forecasted future energy capacity of the first customer site; receiving a sell request to sell energy capacity from a user device associated with the first customer site, the sell request indicating an energy capacity to sell; aggregating a capacity pool with the sell request; receiving a buy request to buy energy capacity from a user device associated with a second customer site on the power network, the buy request indicating an energy capacity in need; assessing the capacity pool to determine a match to the
  • FIG. l is a schematic diagram of an example system for excess energy exchange, according to some embodiments.
  • FIG. 2A illustrates an example of user energy demand and demand charge which may be related to peak usage, according to some embodiments.
  • FIG. 2B illustrates an example of a user’s energy demand and high demand period, according to some embodiments.
  • FIG. 2C illustrates an example of a user anticipated high demand period, according to some embodiments.
  • FIG. 3 A is a flow diagram of an example process of energy capacity recommendation, according to some embodiments.
  • FIG. 3B is an example of current energy capacity and forecasted energy capacity as an intermediate result for energy capacity recommendation, according to some embodiments.
  • FIG. 5 is a flow diagram of an example process 500 of capacity buying recommendation for excess energy capacity exchange.
  • process 500 may be implemented in system 100.
  • Process 500 may start with acts 502, 504, 506, which are respectively similar to acts 302, 304, 306 (FIG. 3A), and the descriptions of these acts are not repeated herein.
  • Process 500 may further include determining capacity shortage based on the forecasted energy capacity, at act 508.
  • the forecasted energy capacity may indicate that a peak demand is expected that is likely to trigger a demand charge, thus a capacity shortage is likely. In such case, process 500 may proceed to act 510 to determine the capacity needed based on the capacity shortage.
  • the capacity needed to buy may be based on a difference between the energy demand threshold currently set for the customer for triggering demand charge and the projected peak demand. Subsequently, process 500 may proceed to act 512 to send the recommendation to the customer, with suggested capacity to buy.
  • FIG. 6 is a flow diagram of an example process 600 of capacity matching for excess energy exchange.
  • process 600 may be implemented in system 100 (FIG. 1).
  • Process 600 may include receiving buy request to buy capacity, at act 602.
  • buy request may be recommended by the system (e.g., process 500 in FIG. 5) and confirmed by the customer.
  • Process 600 may further assess the pooled capacity (e.g., capacity repository 104 in FIG. 1) and allocate the requested capacity using an Al model, at act 604.
  • allocation of the capacity may be performed on a first-come-first-serve basis.
  • allocation may be based on information in the sell requests and the buy request, such as the amount of energy capacity to buy and sell, the start day/time and end day/time to buy or sell in the buy or sell request.
  • the input to the Al model may include the aggregated forecast of energy capacity for the selling customers of the sell requests and the forecast of energy capacity for the buying customer of the buy request.
  • Process 600 may further determine a match from the pooled capacity, at act 606. For example, act 606 may identify the selling customer ID and their capacity to sell, which matches the amount of capacity in the buy request. Upon a match being found, process 600 may proceed to act 608 to send a match notice to the customer. A capacity exchange transaction is completed.
  • FIG. 7 is an example screen 700 for energy capacity buying which may be displayed at a user device.
  • screen 700 may include information about buy options and is generated by system 100.
  • Screen 700 may be displayed on a customer’s system.
  • customer is presented with different types of resources, e g., non-renewable, renewable, and battery storage.
  • the customer may be presented with recommended buy capacity. Additionally, and/or alternatively, the customer may fill in the capacity to buy in each resource type and/or override the recommended capacity.
  • area 704 may display the customer location (e.g., address).
  • Area 706 may be co-displayed with area 702.
  • Area 706 may display a map showing the neighborhood of the customer or customers belonging to the same grid.
  • Area 706 may display where capacity is available for sell and the type of capacity available for sell. For example, all available capacity for sell are displayed by icons on the map, where these icons may have different symbols or colors depending on the type of resource. Alternatively, upon a user selecting a type of capacity, area 706 may display all the available capacity for that type with a respective icon.
  • FIG. 8 is an example screen 800 for energy capacity selling which may be displayed at a user device.
  • screen 800 may include information about sell options and is generated by system 100.
  • Screen 800 may be displayed on a customer’s system.
  • the system initially recommended capacity to sell may be displayed.
  • the user may click a recommendation button 806 to prompt the system at any time to recommend energy capacity to sell.
  • the system may determine sellable capacity and display the recommendation (including recommended energy capacity to sell, and/or start day/time and end day/time) to the user in area 804.
  • the customer may select to accept the recommended values or override the recommended values in area 804.
  • the system may calculate and display the dollar amount that the customer may recoup by selling the capacity in area 810. This calculation may be based on the amount of capacity to sell, the time/day to sell, the type of resource, and utility demand rate.
  • the user may opt for load management program by clicking asset management box 808. This is further explained in detail in FIG. 9.
  • FIG. 9 is a flow diagram of an example process 900 of load management.
  • process 900 can be implemented in system 100.
  • process 900 may be implemented upon user opting in for load management (e g., selecting asset management option at 808 in FIG. 8).
  • Process 900 may include receiving energy usage data from customer, at act 902.
  • energy usage data may be transmitted from the customer’s gateway device (e.g., 110 in FIG. 1), such as in a manner described in embodiments in FIG. 1.
  • Process 900 may identify constraints, at act 904. For example, system notes that the customer has sold capacity and how much capacity has been sold. Process 900 may determine the constraints based on the amount of capacity the customer has sold. In some examples, the constraints may be a delta amount of capacity that is available for sale.
  • Process 900 may further include determining load management threshold (LMT) based on energy usage data, at act 906.
  • act 906 may compute the average kW values of peak demands (e.g., top 10 peak demands, or any suitable number of peak demands) from forecasted energy capacity.
  • LMT may be used to monitor a customer’s current energy use against a limit above which the customer may likely encroach on the capacity it offered up to share, leaving a deficit in capacity.
  • load management in system 100 may be activated when the customer’s energy capacity is approaching LMT.
  • system 100 may continuously monitor the customer’s energy capacity (e.g., based on the energy data obtained from act 902). If the customer’s energy capacity approaches the LMT (e.g., has reached a percentage, e.g., 90% of LMT), then the system may activate load management, at act 908.
  • the system may send an alert to the customer (e.g., customer 106 in FIG. 1) before the LMT is reached (e.g., 80% LMT), where the alert indicates that the user is approaching the LMT.
  • the customer may agree to activate load management, if the customer has already enrolled in the load management program. Alternatively, the customer may manually execute the load management program.
  • process 900 may proceed to act 910 to control one or more registered assets at the customer site.
  • Information about the registered assets may be obtained from the energy asset registry (e.g., 102 in FIG. 1). In non-limiting examples, these registered assets may be modulated down (e.g., at a low energy mode) or turned off.
  • the control of the registered assets at the customer site may be implemented via the BMS system (e.g., 108) and the gateway device (e.g., 110) installed at the customer site, as previously described.
  • FIGS. 10 depicts an example of internal hardware that may be included in system 100 (e.g., on the cloud) or at any customer site (e.g., through the application downloaded form the Internet) in any electronic device or computing system that may be used to perform any of the aspects of the techniques and embodiments in FIGS. 1-9.
  • An electrical bus 1000 serves as an information highway interconnecting the other illustrated components of the hardware.
  • Processor 1005 is a central processing device of the system, configured to perform calculations and logic operations required to execute programming instructions.
  • processor and “processing device” may refer to a single processor or any number of processors in a set of processors that collectively perform a process, whether a micro-controller, central processing unit (CPU) or a graphics processing unit (GPU) or a combination thereof.
  • Read only memory (ROM), random access memory (RAM), flash memory, hard drives, and other devices capable of storing electronic data constitute examples of memory devices 1025.
  • a memory device also referred to as a computer-readable medium, may include a single device or a collection of devices across which data and/or instructions are stored.
  • the memory device may include, for example, 1026 for storing energy asset registry and/or capacity repository as described in embodiments in FIGS. 1-9.
  • An optional display interface 1030 may permit information from the bus 1000 to be displayed on a display device 1035 in visual, graphic, or alphanumeric format.
  • An audio interface and audio output (such as a speaker) also may be provided.
  • Communication with external devices may occur using various communication ports 1040 such as a transmitter and/or receiver, antenna, an RFID tag and/or short-range, BLE, or near-field communication circuitry.
  • a communication port 1040 may be attached to a communications network, such as the Internet, a local area network, Wi-Fi, or a cellular telephone data network for facilitating communications between system 100 and systems/gateway devices at customer sites described in FIG. 1.
  • the hardware may also include a user interface sensor 1045 that allows for receipt of data from input devices 1050 such as a keyboard, a mouse, a joystick, a touchscreen, a remote control, a pointing device, a video input device, and/or an audio input device, such as a microphone.
  • Digital image frames may also be received from an imaging capturing device 1055 such as a video or camera that can either be built-in or external to the system.
  • Other environmental sensors 1060 such as a location sensor and/or a temperature sensor, may be installed on system and communicatively accessible by the processor 1005, either directly or via the communication ports 1040.
  • inventive concepts may be embodied as one or more methods, of which examples have been provided.
  • the acts performed as part of a method may be ordered in any suitable way. Accordingly, embodiments may be constructed in which acts are performed in an order different than illustrated, which may include performing some acts simultaneously, even though shown as sequential acts in illustrative embodiments.

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  • Game Theory and Decision Science (AREA)
  • Human Resources & Organizations (AREA)
  • Tourism & Hospitality (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
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  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
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Abstract

L'invention concerne, dans certains modes de réalisation, un procédé d'échange de capacité d'énergie excédentaire qui consiste : à recevoir des données d'utilisation d'énergie historiques en provenance d'un dispositif de passerelle installé au niveau d'un premier site client ; à utiliser un modèle d'IA pour prévoir une future capacité d'énergie du premier site de client ; à déterminer une recommandation de capacité d'énergie pouvant être vendue pour le premier site client sur la base de la future capacité d'énergie prévue ; à recevoir une demande de vente pour vendre une capacité d'énergie à partir d'un dispositif utilisateur associé au premier site client ; à agréger un groupe de capacités avec la demande de vente ; à recevoir une demande d'achat pour acheter une capacité d'énergie à partir d'un dispositif utilisateur associé à un second site client ; à évaluer le groupe de capacités agrégées pour déterminer une correspondance avec la demande d'achat ; et à envoyer une notification au premier site client et/ou au second site client pour indiquer un échange de capacité d'énergie entre le premier ou le second site client et le groupe de capacités.
PCT/US2025/022765 2024-04-02 2025-04-02 Échange d'énergie en excès Pending WO2025212785A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202463572953P 2024-04-02 2024-04-02
US63/572,953 2024-04-02

Publications (1)

Publication Number Publication Date
WO2025212785A1 true WO2025212785A1 (fr) 2025-10-09

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Country Link
WO (1) WO2025212785A1 (fr)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090062970A1 (en) * 2007-08-28 2009-03-05 America Connect, Inc. System and method for active power load management
US20100217452A1 (en) * 2009-02-26 2010-08-26 Mccord Alan Overlay packet data network for managing energy and method for using same
US20170005474A1 (en) * 2015-07-04 2017-01-05 Sunverge Energy, Inc. Virtual power plant
US20180366978A1 (en) * 2016-06-06 2018-12-20 Xslent Energy Technologies, Llc Intelligent grid operating system to manage distributed energy resources in a grid network
US20220188947A1 (en) * 2012-10-24 2022-06-16 Causam Exchange, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US20230221692A1 (en) * 2021-11-23 2023-07-13 Strong Force Ee Portfolio 2022, Llc AI-Based Energy Edge Platform, Systems, and Methods Having Automatically Optimized Energy Usage in Edge Data Pipeline

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090062970A1 (en) * 2007-08-28 2009-03-05 America Connect, Inc. System and method for active power load management
US20100217452A1 (en) * 2009-02-26 2010-08-26 Mccord Alan Overlay packet data network for managing energy and method for using same
US20220188947A1 (en) * 2012-10-24 2022-06-16 Causam Exchange, Inc. System, method, and apparatus for settlement for participation in an electric power grid
US20170005474A1 (en) * 2015-07-04 2017-01-05 Sunverge Energy, Inc. Virtual power plant
US20180366978A1 (en) * 2016-06-06 2018-12-20 Xslent Energy Technologies, Llc Intelligent grid operating system to manage distributed energy resources in a grid network
US20230221692A1 (en) * 2021-11-23 2023-07-13 Strong Force Ee Portfolio 2022, Llc AI-Based Energy Edge Platform, Systems, and Methods Having Automatically Optimized Energy Usage in Edge Data Pipeline

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