the National Natural Science Foundation of China(No.52478087);China Postdoctoral Science Foundation(No.2024M750799,No.2024T170238);China Scholarship Council(No.202308410494);Zhongyuan Outstanding Youth Talent Program(No.2022 Year);Youth Scientist Project in Henan Province(No.225200810087);the Program for Science&Technology Innovation Talents in Universities of Henan Province(No.22HASTIT025);the Program for Innovative Research Team(in Science and Technology)in University of Henan Province(No.22IRTSTHN006).
Fault diagnosis(FD)is essential for ensuring the reliable operation of chillers and preventing energy waste.Feature selection(FS)is a critical prerequisite for effective FD.However,current FS methods have two major ga...
supported by a collaborative research fund(C5018-20G)and a grant under the Hong Kong PhD Fellowship Scheme of the Research Grants Council in the Hong Kong SAR.
The increasing demand for cooling energy in data centers has become a global concern.Existing studies lack a comprehensive analysis of the energy performance of widely used multi-chiller cooling systems in air-cooled ...
the funding support by a CRF from UGC Hong Kong(C5018-20G);a MFPRC from City University of Hong Kong(9680328);a Guangzhou International Science and Technology Cooperation project(2021A0505030077).
In many chiller plants,high coefficient of performance(COP)is only achieved at a few favorable part load ratios(PLRs),while the COP is low at many other non-favorable PLRs.To address this issue,this study proposes a g...
supported by the State Key Laboratory of Air-Conditioning Equipment and System Energy Conservation(No.ACSKL2019KT13);National Natural Science Foundation of China(No.51608297);Scientific Research Project of Beijing Municipal Education Commission(No.KM201910016009 and No.KZ202110016022);Beijing Advanced Innovation Center for Future Urban Design(No.UDC2019011121);Pyramid Talent Training Project(No.JDYC20220815);Post-Graduate Innovation Project(No.PG2024077)of Beijing University of Civil Engineering and Architecture.
The emergence of building condenser water systems with all-variable speed pumps and tower fans allows for increased efficiency and flexibility of chiller plants in partial load operation but also increases the control...
This work was supported by the Dalian Key Field Innovation Team Project(2020RT04);Airport Terminal Wisdom Environment Security and Energy Saving Laboratory of Guangdong Airport Baiyun Information Technology Co.,Ltd.in China.
Optimization for the multi-chiller system is an indispensable approach for the operation of highly efficient chiller plants.The optima obtained by model-based optimization algorithms are dependent on precise and solva...
The authors of this paper acknowledge the support from the National Natural Science Foundation of China(No.51975191);the Funds for Science and Technology Creative Talents of Hubei,China(No.2023DJC048);This work was supported by the Xiangyang Hubei University of Technology Industrial Research Institute Funding Program(No.XYYJ2022B01).
Accurate fault diagnosis of heating,ventilation,and air conditioning(HVAC)systems is of significant importance for maintaining normal operation,reducing energy consumption,and minimizing maintenance costs.However,in p...
This paper proposes a modified golden jackal optimization(IGJO)algorithm to solve the OCL(which stands for optimal cooling load)problem to minimize energy consumption.In this algorithm,many tools have been developed,s...
supported by the National Natural Science Foundation of China(No.51908204).
This study developed a rapid building modeling tool,AutoBPS-BIM,to transfer the building information model(BIM)to the building energy model(BEM)for load calculation and chiller design optimization.An eight-storey offi...
supported by the National Natural Science Foundation of China(No.51978481);support provided by China Scholarship Council(No.202006260140)。
The heating,ventilation,and air-conditioning(HVAC)systems account for about half of the building energy consumption.The optimization methodology access to optimal control strategies of chiller plant has always been of...
supported by two Ministry of Education(MoE)Singapore Tier 1 research grants under grant numbers R-296-000-208-133 and R-296-000-241-114.
Computer-empowered detection of possible faults for Heating,Ventilation and Air-Conditioning(HVAC)subsystems,e.g.,chillers,is one of the most important applications in Artificial Intelligence(AI)integrated Internet of...