Open AccessResearch on Multi-objective Optimization Method of Central Air Conditioning Air Treatment System Based on NSGA-II
Author(s) -
Xue Li,
Shujiang Li,
Jiao Hu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1626/1/012113
Subject(s) - air conditioning , energy consumption , energy (signal processing) , constraint (computer aided design) , central air conditioning , mathematical optimization , function (biology) , set (abstract data type) , simulation , computer science , engineering , mathematics , mechanical engineering , statistics , electrical engineering , evolutionary biology , biology , programming language
In this paper, the composition, working principle and characteristics of the central air conditioning air treatment system are comprehensively analyzed, the energy consumption equipment of the air treatment system is established, the energy consumption model of the chilled water pump and fan is established, and the sum of the energy consumption models of the pump and fan is used as the air The total energy consumption model of the processing system is given, and the constraint conditions of the objective function are given. The characteristics of the evaluation index PMV describing the application of the human body’s cold and hot feeling and the PPD index characterizing the degree of dissatisfaction in the thermal environment are analyzed. The room comfort model with the smallest PPD value is established. Finally, the minimum total energy consumption of the air treatment system and the smallest PPD value are established Established a multi-objective optimization model. The NSGA-II algorithm is used to optimize the established multi-objective function, and the optimal solution set satisfying the two conditions is obtained.