TY - CONF
AU - Yudong Ma
AU - Francesco Borrelli
AU - Brandon Hencey
AU - Brian E Coffey
AU - Sorin Bengea
AU - Philip Haves
AB - 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.
BT - American Control Conference
CY - Baltimore, Maryland, USA
DA - 06/2010
LA - eng
N2 - 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.
PP - Baltimore, Maryland, USA
PY - 2010
T2 - American Control Conference
T3 - American Control Conference
TI - Model Predictive Control of Thermal Energy Storage in Building Cooling Systems
ER -