现代电子技术2024，Vol.47Issue(15)：169-177,9.DOI:10.16652/j.issn.1004-373x.2024.15.028
基于改进NSGA-Ⅱ的新风系统多目标优化控制策略研究
Research on fresh air system multi-objective optimal control strategy based on improved NSGA-Ⅱ
摘要
Abstract
In order to optimize the operation of fresh air system to reduce indoor formaldehyde concentration and energy consumption loss,a fresh air system multi-objective optimal control strategy based on improved non-dominated sorting genetic algorithm(NSGA-Ⅱ)is proposed.The computational fluid dynamics(CFD)technology is used to build an indoor model and simulate it.The indoor formaldehyde concentration' changing trend with the air supply speed and time of fresh air system is analyzed to obtain the optimized model.And then,the good-point set method and normal distribution crossover(NDX)operator are introduced to improve the NSGA-Ⅱ algorithm,and the effectiveness of the improved algorithm is verified by test functions.The improved NSGA-Ⅱ algorithm is used to solve the Pareto frontier of the control strategy optimization of the fresh air system,and four schemes are selected for analysis and verification.The experimental results show that the improved algorithm can solve Pareto frontier effectively,and its solving efficiency and speed are better than those of the original algorithm.This research can help decision makers choose more optimization strategies,so it has a certain reference value for the operation control of fresh air system.关键词
CFD/甲醛浓度/新风系统/改进NSGA-Ⅱ/帕累托前沿/多目标优化Key words
CFD/formaldehyde concentration/fresh air system/improved NSGA-Ⅱ/Pareto frontier/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
刘威,郑焕祺,周玉成..基于改进NSGA-Ⅱ的新风系统多目标优化控制策略研究[J].现代电子技术,2024,47(15):169-177,9.基金项目
泰山学者优势特色学科人才团队(2015162) （2015162）
山东建筑大学博士基金(X21110Z) （X21110Z）
