Optimizing and controlling the energy consumption of a building
First Claim
1. A method for determining a load control schedule for a plurality of energy control devices using a load shifting optimization model and applying the load control schedule to adjust the plurality of energy control devices, the method comprising:
- receiving, by a server computing device, one or more thermodynamic grey-box models, wherein each thermodynamic grey-box model is associated with one or more buildings;
receiving, by the server computing device, energy price data associated with a utility provider servicing the one or more buildings and energy load forecast data associated with the one or more buildings;
generating, by the server computing device, one or more price probability distribution curves based upon the energy price data;
generating, by the server computing device, one or more load probability distribution curves based upon the energy load forecast data and the thermodynamic grey-box models;
executing, by the server computing device, a load shifting optimization model using the one or more price probability distribution curves, the one or more load probability distribution curves, and an energy sale price to determine a profit probability distribution curve for each of a plurality of demand response decision rules;
determining, by the server computing device, at least one of the profit probability distribution curves that has an optimal profit value;
generating, by the server computing device, a load control schedule for each of a plurality of energy control devices coupled to the server computing device based upon the profit probability distribution curve that has the optimal profit value;
generating, by the server computing device, one or more operational parameters for each of the plurality of energy control devices using the load control schedule; and
transmitting, by the server computing device, the one or more operational parameters to the plurality of energy control devices, wherein the energy control devices adjust one or more of current and future operational parameters based upon the received operational parameters.
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Accused Products
Abstract
Described herein are methods and systems, including computer program products, for determining a load control schedule for energy control devices using a load shifting optimization model and applying the load control schedule to adjust the energy control devices. A server receives thermodynamic models, energy price data and energy load forecast data. The server generates price probability distribution curves based upon the price data and load probability distribution curves based upon the load forecast data. The server executes a load shifting optimization model to determine a profit probability distribution curve for demand response decision rules. The server determines a profit curve that has an optimal profit value. The server generates a load control schedule based upon the optimal profit curve and generates operational parameters for energy control devices using the load control schedule. The server transmits the operational parameters to the energy control devices to adjust operational parameters.
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Citations
26 Claims
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1. A method for determining a load control schedule for a plurality of energy control devices using a load shifting optimization model and applying the load control schedule to adjust the plurality of energy control devices, the method comprising:
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receiving, by a server computing device, one or more thermodynamic grey-box models, wherein each thermodynamic grey-box model is associated with one or more buildings; receiving, by the server computing device, energy price data associated with a utility provider servicing the one or more buildings and energy load forecast data associated with the one or more buildings; generating, by the server computing device, one or more price probability distribution curves based upon the energy price data; generating, by the server computing device, one or more load probability distribution curves based upon the energy load forecast data and the thermodynamic grey-box models; executing, by the server computing device, a load shifting optimization model using the one or more price probability distribution curves, the one or more load probability distribution curves, and an energy sale price to determine a profit probability distribution curve for each of a plurality of demand response decision rules; determining, by the server computing device, at least one of the profit probability distribution curves that has an optimal profit value; generating, by the server computing device, a load control schedule for each of a plurality of energy control devices coupled to the server computing device based upon the profit probability distribution curve that has the optimal profit value; generating, by the server computing device, one or more operational parameters for each of the plurality of energy control devices using the load control schedule; and transmitting, by the server computing device, the one or more operational parameters to the plurality of energy control devices, wherein the energy control devices adjust one or more of current and future operational parameters based upon the received operational parameters. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system for determining a load control schedule for a plurality of energy control devices using a load shifting optimization model and applying the load control schedule to adjust the plurality of energy control devices, the system comprising:
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a server computing device that receives one or more thermodynamic grey-box models, wherein each thermodynamic grey-box model is associated with one or more buildings; receives energy price data associated with a utility provider servicing the one or more buildings and energy load forecast data associated with the one or more buildings; generates one or more price probability distribution curves based upon the energy price data; generates one or more load probability distribution curves based upon the energy load forecast data; executes a load shifting optimization model using the one or more price probability distribution curves, the one or more load probability distribution curves, and an energy sale price to determine a profit probability distribution curve for each of a plurality of demand response decision rules; determines at least one of the profit probability distribution curves that has an optimal profit value; generates a load control schedule for each of a plurality of energy control devices coupled to the server computing device based upon the profit probability distribution curve that has the optimal profit value; generates one or more operational parameters for each of the plurality of energy control devices using the load control schedule; and transmits the one or more operational parameters to the plurality of energy control devices, wherein the energy control devices adjust one or more of current and future operational parameters based upon the received operational parameters. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26)
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Specification