CHILLER

作品数:36被引量:20H指数:3
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相关作者:王丽欣董素霞糜华于长丰丁玉娟更多>>
相关机构:无锡溥汇机械科技有限公司合肥亦威科技有限公司豫新汽车热管理科技有限公司大连三洋制冷有限公司更多>>
相关期刊:《Computer Modeling in Engineering & Sciences》《城市燃气》《Building Simulation》《Open Journal of Applied Sciences》更多>>
相关基金:国家自然科学基金重庆市自然科学基金中国博士后科学基金更多>>
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Efficient feature selection for enhanced chiller fault diagnosis:A multi-source ranking information-driven ensemble approach
《Building Simulation》2025年第1期141-159,共19页Zhanwei Wang Penghua Xia Jingjing Guo Sai Zhou Lin Wang Yu Wang Chunxiao Zhang 
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...
关键词:CHILLER feature selection fault diagnosis multi-source ranking information machine learning 
Energy performance analysis of multi-chiller cooling systems for data centers concerning progressive loading throughout the lifecycle under typical climates
《Building Simulation》2024年第10期1693-1708,共16页Yingbo Zhang Hangxin Li Shengwei Wang 
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 ...
关键词:data center cooling system energy performance life-cycle operation power usage effectiveness(PUE) coefficient of performance(COP) 
Generic load regulation strategy for enhancing energy efficiency of chiller plants
《Building Simulation》2024年第8期1273-1287,共15页Hang Wan Yuyang Gong Shengwei Wang Yongjun Sun Tao Xu Gongsheng Huang 
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...
关键词:load regulation thermal energy storage chiller plants building energy efficiency 
Energy modeling and optimization of building condenser water systems with all-variable speed pumps and tower fans:A case study
《Building Simulation》2024年第7期1085-1111,共27页Yong Cao Chuang Wang Sheng Wang Xiao Fu Xinguo Ming 
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...
关键词:all-variable speed chiller plant model-based optimization hydraulic and thermal coupling analytical solution dual setpoint-based variable speed control optimal joint speed control 
An optimization-oriented modeling approach using input convex neural networks and its application on optimal chiller loading被引量:1
《Building Simulation》2024年第4期639-655,共17页Shanshuo Xing Jili Zhang Song Mu 
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...
关键词:chiller plant input convex neural network optimal load distribution convex optimization 
Fault diagnosis of HVAC system with imbalanced data using multi-scale convolution composite neural network被引量:2
《Building Simulation》2024年第3期371-386,共16页Rouhui Wu Yizhu Ren Mengying Tan Lei Nie 
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...
关键词:fault diagnosis CHILLER imbalanced data SMOTETomek MULTI-SCALE neural networks 
Optimization of Chiller Loading Problem Using Improved Golden Jackal Optimization Algorithm Leads to Reduction in Energy Consumption
《Energy Engineering》2023年第11期2565-2583,共19页Na Dong Xiao Yang Nasser Yousefi 
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...
关键词:Optimal chiller loading improved version of golden jackal optimization energy consumption 
AutoBPS-BIM:A toolkit to transfer BIM to BEM for load calculation and chiller design optimization被引量:5
《Building Simulation》2023年第7期1287-1298,共12页Zhihua Chen Zhang Deng Adrian Chong Yixing Chen 
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...
关键词:BIM building energy model ENERGYPLUS chiller design optimization AutoBPS-BIM 
A non-cooperative game-based distributed optimization method for chiller plant control
《Building Simulation》2022年第6期1015-1034,共20页Shiyao Li Yiqun Pan Qiujian Wang Zhizhong Huang 
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...
关键词:chiller plant operation optimization distributed optimization non-cooperative game double-layer optimization graph theory 
Chiller faults detection and diagnosis with sensor network and adaptive 1D CNN被引量:3
《Digital Communications and Networks》2022年第4期531-539,共9页Ke Yan Xiaokang Zhou 
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...
关键词:CHILLER Fault detection and diagnosis Deep learning neural network Long short term memory Recurrent neural network Gated recurrent unit 
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