DOE OSTI · code-179334
EASY-SHIFT v Alpha
Abstract
The software is a generic, price- and load-responsive control algorithm integrating heat pumps with thermal energy storage. The algorithm leverages simple models of the system and easily accessible data to schedule operation of heat pumps and thermal energy storage in ways that minimize the cost of operating the heating/cooling system. This tool is specifically designed to be easy to interact with, and something that industry partners are able to adopt. There are two current state of the art approaches. Industry tends to develop very simple algorithms, with predetermined schedules that are not capable of changing operation in response to changes in operating environment. For example, a control designed to avoid high-price electricity from 5-8 PM will not be able to adapt if the high-price period changes to 4-9 PM. Academia commonly develops algorithms called Model predictive control (MPC). MPC requires extensive data and highly trained staff to develop a specific type of simulation model of the building, connect the building to optimization algorithms, and leverage powerful computers. Industry, with limited time/finance budgets for any project, is resistant to adopting MPC due to the associated high complexity and cost.
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Grant, Peter [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)], Defauw, Thomas [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)], Woo-Shem, Brian [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)]. 2026-03-26. EASY-SHIFT v Alpha. https://doi.org/10.11578/dc.20260416.1
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