Invention Grant
- Patent Title: Central plant control system based on load prediction through mass storage model
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Application No.: US17071633Application Date: 2020-10-15
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Publication No.: US11281168B2Publication Date: 2022-03-22
- Inventor: Mohammad N. Elbsat , Michael J. Wenzel , Graeme Willmott , Matthew J. Asmus
- Applicant: Johnson Controls Tyco IP Holdings LLP
- Applicant Address: US WI Milwaukee
- Assignee: Johnson Controls Tyco IP Holdings LLP
- Current Assignee: Johnson Controls Tyco IP Holdings LLP
- Current Assignee Address: US WI Milwaukee
- Agency: Foley & Lardner LLP
- Main IPC: G05B13/04
- IPC: G05B13/04 ; G05F1/66 ; G05B19/04 ; F24F11/46 ; G05B19/042 ; F24F110/10 ; F24F140/50

Abstract:
Disclosed herein are related to a system, a method, and a non-transitory computer readable medium for operating an energy plant. In one aspect, the system generates a regression model of a produced thermal energy load produced by a supply device of the plurality of devices. The system predicts the produced thermal energy load produced by the supply device for a first time period based on the regression model. The system determines a heat capacity of gas or liquid in the loop based on the predicted produced thermal energy load. The system generates a model of mass storage based on the heat capacity. The system predicts an induced thermal energy load during a second time period at a consuming device of the plurality of devices based on the model of the mass storage. The system operates the energy plant according to the predicted induced thermal energy load.
Public/Granted literature
- US20210055701A1 CENTRAL PLANT CONTROL SYSTEM BASED ON LOAD PREDICTION THROUGH MASS STORAGE MODEL Public/Granted day:2021-02-25
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