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Proceedings of SimBuild Conference 2012: 5th conference of IBPSA USA

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A Two-Stage Simulation-Based On-Line Optimization Scheme for HVAC Demand Response

Jianmin Zhu, Ling Shen, Rongxin Yin, Yan Lu
Rutgers, the State University of New Jersey, New Brunswick, NJ, USA
Siemens Corporate Research, Princeton, NJ, USA
Lawrence Berkeley National Laboratory, Berkeley, CA, USA

Abstract: The on-line control optimization for building heating, ventilation and air conditioning (HVAC) systems is crucial for automatic demand response. Simulation-based optimization techniques usually require intensive computation, even with advanced optimization algorithms, and therefore are not feasible for on-line decision making. This article presents a two-stage scheme in which an "optimal strategy pool" is generated by off-line optimization on the identified weather patterns. And only a small number of strategies are subject to on-line simulation evaluation. This two-stage approach shows superior capability of identifying optimal DR strategies and reducing on-line computation load, simultaneously. A case study with EnergyPlus simulation of a large education facility at Berkeley, CA is included.
Pages: 9 - 16
Paper:
simbuild2012_01a_2_Zhu