文献类型：期刊文献

英文题名：Fast regulation of multi-position differentiated environment: Multi-step joint optimization of air supply parameters

作者：Shao, Xiaoliang[1];Liu, Yemin[1];Wang, Baolong[2];Li, Xianting[2];Chen, Jiujiu[3];Zhu, Zirun[1];Ma, Xiaojun[3]

第一作者：Shao, Xiaoliang

通讯作者：Li, XT[1]

机构：[1]Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China;[2]Tsinghua Univ, Sch Architecture, Dept Bldg Sci, Beijing 100084, Peoples R China;[3]Beijing Union Univ, Coll Biochem Engn, Beijing 100023, Peoples R China

第一机构：Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China

通讯机构：[1]corresponding author), Tsinghua Univ, Sch Architecture, Dept Bldg Sci, Beijing 100084, Peoples R China.

年份：2023

卷号：239

外文期刊名：BUILDING AND ENVIRONMENT

收录：;EI(收录号：20232114121159);Scopus(收录号：2-s2.0-85159550984);WOS:【SCI-EXPANDED(收录号:WOS:001009372700001)】；

基金：This study is supported by the National Natural Science Foundation of China (Grant No. 51878043) , Beijing Natural Science Foundation (Grant No. 8212012) , Special Fund of Beijing Key Laboratory of Indoor Air Quality Evaluation and Control (Grant No. BZ0344KF21-01) , and Fundamental Research Funds for the Central Universities (Grant No. FRF-TP-20-001A3) .

语种：英文

外文关键词：Differentiated environment; Individual preference; Ventilation; Air supply optimization; Linear superposition

摘要：It is necessary to maintain differentiated air parameters oriented to their desired values for objects at various positions. Parameter regulation at each target position is expected to be performed more rapidly. In this study, a multi-step joint optimization (MSJO) and regulation strategy is proposed for the fast regulation of multi-position differentiated parameters. A linear relationship under a fixed flow field is adopted to correlate the air parameters at each target position with various influencing factors in a non-uniform environment. Two air supply optimi-zation models are established based on the linear relationship: one for the fast regulation of air parameters during the intermediate steps and the other for satisfying the desired parameters in the final step. Based on numerical analysis, MSJO is shown to be significantly superior to one-step optimization, and the parameter variation time for the single and two positions can be reduced by more than 70%. Even if the number of target positions exceeds that of the air supply inlets, the parameter at each position can be regulated to the vicinity of their desired values, and the parameter variation time can be reduced by at least 36%. The reverse regulation of parameters at the two target positions does not affect the acceleration of parameter variation, and MSJO can reduce the time by at least 32%. The proposed model-based air supply regulation strategy may serve as a reference for establishing a multi -position non-uniform environment.