Campus-scale Thermal Storage for Load Shift Using Predictive Controls
This project develops a model predictive control to optimally respond to a dynamic utility signal for a district cooling system with thermal energy storage. Using the central chiller plant at UC Merced as a demonstration site, the new control system aims to promote the self-consumption of the on-site renewable while responding to the grid signal. Using sophisticated predictive controls that consider weather, occupancy, electricity prices, and greenhouse gas emissions, this project will maximize clean energy use and support the grid while reducing campus demand charges and utility costs.
Lawrence Berkeley National Laboratory (Berkeley Lab) is a Department of Energy (DOE) sponsored Office of Science laboratory and a lead with the Energy Efficiency and Renewable Energy’s (EERE) Buildings Technology Office (BTO), providing state, national, and global leadership in the development of interoperable and load flexible technologies, including grid-interactive efficient buildings (GEB) and Connected Communities.
CalFlexHub is made possible by the California Energy Commission and funded through the Electric Program Investment Charge (EPIC) Program.
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