详细信息
Optimal Determining Air Supply Humidity for Multi-Location Demands Under Different Objectives in an Indoor Moisture Environment: A Comprehensive Method and Case Study ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Optimal Determining Air Supply Humidity for Multi-Location Demands Under Different Objectives in an Indoor Moisture Environment: A Comprehensive Method and Case Study
作者:Ma, Xiaojun[1];Yu, Shuchen[1];Shao, Xiaoliang[2];Chen, Jiujiu[1]
第一作者:马晓钧
通讯作者:Chen, JJ[1]
机构:[1]Beijing Union Univ, Coll Biochem Engn, Beijing 100023, Peoples R China;[2]Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China
第一机构:北京联合大学生物化学工程学院
通讯机构:[1]corresponding author), Beijing Union Univ, Coll Biochem Engn, Beijing 100023, Peoples R China.|[1141726]北京联合大学生物化学工程学院;[11417]北京联合大学;
年份:2024
卷号:14
期号:10
外文期刊名:BUILDINGS
收录:;EI(收录号:20244417286146);Scopus(收录号:2-s2.0-85207368487);WOS:【SCI-EXPANDED(收录号:WOS:001343263500001)】;
基金:This research was funded by the National Natural Science Foundation of China, grant number 51578065 and 51878043 and Research project on Beijing Risk Prevention Control Theory and Key Technologies Based on Big Data, grant number ZB102006.
语种:英文
外文关键词:differentiated multi-location humidity; non-uniform environment; control strategy; regulation optimization; adjustment efficiency
摘要:Within high-precision indoor environments, such as semiconductor fabrication or textile plants, humidity control is paramount for preserving product integrity and reducing energy expenditure. The non-uniform indoor air environment poses a significant challenge in achieving humidity regulation that meets the distinct requirements of various locations. Traditional feedback control mechanisms may lead to instability, overshooting, and oscillation in indoor parameters. This paper proposes a comprehensive method to address humidity assurance issues in high-precision indoor environments by establishing analytical expressions that link the demand parameters at different locations with air supply parameters. Using a case study, this paper examines several typical operational scenarios with diverse control objectives, including minimizing dehumidification energy consumption, minimizing air supply humidity adjustment values, and constraints on adjustable air supply inlets. This method enables rapid calculation of air supply humidity and regulation of humidity parameters at multiple locations within the indoor environment. It considers various locations, requirements, optimization targets, and precision, demonstrating that it can quickly determine the optimal air supply parameters based on the objective function. This method facilitates rapid adjustment and high-precision assurance of different humidity requirements at multiple locations, making it suitable for high-precision design and control of indoor humidity environments.
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