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ABSTRACT
This study focuses on existing ventilation, heating, and air conditioning systems in public buildings and mainly considers three objectives: system energy consumption, indoor thermal comfort, and efficiency. A multi-objective diagnosis system is established, which correlates evaluation indicators with key equipment, forming a clear hierarchical diagnosis system. Meanwhile, particle swarm optimization algorithm is combined with linear weighting method to optimize the operating parameters of key equipment based on the diagnosis results, obtaining the optimal parameters of various operating scenes. For winter conditions, the average system energy consumption is 34.2 W/m2, the average system energy efficiency ratio is 1.5, and the average indicator for indoor thermal environment is 1.06. For summer conditions, the average energy consumption of the systems is 28.9 W/m2, the average energy efficiency ratio is 2.2, and the average indicator for indoor thermal environment is – 0.82. Compared with the measured results, most of the optimized indicators are better, but the system energy efficiency ratio is slightly lower than the measured results for winter conditions. Through the established diagnosis system and optimization method, this research evaluates and optimizes the existing the systems in public buildings. Demonstrating the effectiveness of the established diagnosis system and optimization method.
Disclosure statement
The authors report there are no competing interests to declare.
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Additional information
Notes on contributors
Yousheng Yuan
Yousheng Yuan graduated from Southwest Jiaotong University with a master's degree in engineering (2012). He is currently a Ph.D. candidate in Earth and Human Settlement Science and Engineering at Xi'an Jiaotong University. At present, he's also a lecturer at the School of Civil Engineering and Architecture, Henan University of Science and Technology. His main research and teaching interests are architectural design and theory, building energy conservation and sustainable development, building information technology and digital design.
Chaoqin Bai
Chaoqin Bai graduated from Southwest Jiaotong University with a bachelor's degree in architecture in 2004 and a master's degree in architecture in 2007. He is currently a doctoral candidate in Earth and Human Settlement Science and Engineering at Xi'an Jiaotong University. Currently, he is an associate professor and master tutor of the Department of Architecture, College of Civil Engineering and Architecture, Henan University of Science and Technology. He is a director of the Architectural Education Branch and the Local Architecture Branch of the Architectural Society of China. He is mainly engaged in research and teaching work in architectural design and theory, architectural history and cultural heritage protection, building energy conservation and sustainable development, building information technology and digital design.