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Model Predictive Control of Thermal Energy Storage in Building Cooling Systems

Publication Type

Conference Proceedings

Date Published

06/2010

Authors

Ma, Yudong, Francesco Borrelli, Brandon Hencey, Brian E Coffey, Sorin Bengea, Philip Haves

Abstract

A model-based predictive control (MPC) is designed for optimal thermal energy storage in building cooling systems. We focus on buildings equipped with a water tank used for actively storing cold water produced by a series of chillers. Typically the chillers are operated at night to recharge the storage tank in order to meet the building demands on the following day. In this paper, we build on our previous work, improve the building load model, and present experimental results. The experiments show that MPC can achieve reductionin the central plant electricity cost and improvement of its efficiency.

Journal

American Control Conference

Year of Publication

2010

Organization

Building Technologies Department, Building Technology and Urban Systems Division, Simulation Research

Research Areas

BTUS Modeling and Simulation