Climate Compensation and Indoor Temperature Optimal Measuring Point Energy Saving Control in VAV Air-Conditioning System

Xiuying Yan, Cong Liu, Meili Li, Ating Hou, Kaixing Fan and Qinglong Meng
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Xiuying Yan: School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Cong Liu: School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Meili Li: School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Ating Hou: School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Kaixing Fan: School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China
Qinglong Meng: School of Civil Engineering, Chang’an University, Xi’an 710061, China

Energies, 2019, vol. 12, issue 22, 1-25

Abstract: Temperature measuring point is the key to room environment control. Temperature measuring points and climate changes are directly related to the room control effect. It is of great theoretical and practical significance to study the temperature measuring points and control strategy based on climate compensation. In this study, first, the climate compensation concept in a heating system was introduced into a variable air volume (VAV) air-conditioning system. The heating load was modeled as a function of supply air temperature by analyzing the heat exchange. Based on each control link of subsystems, a climate compensation scheme is proposed to determine the optimal set-point of the supply air temperature. At the same time, a layout of multiple temperature measuring points of an air-conditioned room was studied. Furthermore, the optimal indoor temperature measuring point was determined using an adaptive weighted fusion method. Finally, simulation results show that the proposed method has better control effects on indoor temperature adjustment compared with the traditional method. The optimal supply air temperature in summer and winter was determined according to the proposed climate compensation scheme, and the supply air temperature was controlled using an improved single-neuron adaptive control strategy. Experimental results show that the maximum energy saving can reach up to 35.5% in winter and 6.1% in summer.

Keywords: climate compensation; energy saving; VAV air-conditioning; optimal measuring point (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: 2019
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