A Multi-Timescale Bilinear Model for Optimization and Control of HVAC Systems with Consistency

Zelin Nie, Feng Gao and Chao-Bo Yan
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Zelin Nie: State Key Laboratory for Manufacturing Systems Engineering, School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Feng Gao: State Key Laboratory for Manufacturing Systems Engineering, School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Chao-Bo Yan: State Key Laboratory for Manufacturing Systems Engineering, School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Energies, 2021, vol. 14, issue 2, 1-13

Abstract: Reducing the energy consumption of the heating, ventilation, and air conditioning (HVAC) systems while ensuring users’ comfort is of both academic and practical significance. However, the-state-of-the-art of the optimization model of the HVAC system is that either the thermal dynamic model is simplified as a linear model, or the optimization model of the HVAC system is single-timescale, which leads to heavy computation burden. To balance the practicality and the overhead of computation, in this paper, a multi-timescale bilinear model of HVAC systems is proposed. To guarantee the consistency of models in different timescales, the fast timescale model is built first with a bilinear form, and then the slow timescale model is induced from the fast one, specifically, with a bilinear-like form. After a simplified replacement made for the bilinear-like part, this problem can be solved by a convexification method. Extensive numerical experiments have been conducted to validate the effectiveness of this model.

Keywords: bilinear model; convex relaxation method; energy consumption; multi-timescale optimization; user comfort (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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