Optimization of ventilation system design and operation in office environment, Part I: Methodology

被引:112
作者
Zhou, Liang [1 ]
Haghighat, Fariborz [1 ]
机构
[1] Concordia Univ, Dept Bldg Civil & Environm Engn, Montreal, PQ H3G 1M8, Canada
关键词
Office indoor environment; Ventilation system; CFD simulation; Artificial neural network; Genetic algorithm; GENETIC ALGORITHM;
D O I
10.1016/j.buildenv.2008.05.009
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Ventilation principles that integrate flexible and responsive elements have grown in popularity in office buildings due to increasing concerns about the impact of indoor environment quality on office workers' well-being and productivity. as well as concerns over the rising energy costs for space heating and cooling in the office building sector. Such advanced elements as underfloor air distribution (UFAD), passive swirl diffusers, and demand controlled ventilation have posed challenges to system design and operation. This paper is concerned with the development and implementation of a practical and robust optimization scheme, aiming to assist office building designers and operators to enhance thermal comfort and indoor air quality (IAQ) without sacrificing energy costs of ventilation. The objective function was constructed in a way attempting to aggregate and weight indices (for thermal comfort, IAQ, and ventilation energy usage assessment) into one indicator. The path taken was a simulation-based optimization approach by using computational fluid dynamics (CFD) techniques in conjunction with genetic algorithm (GA), with the integration of an artificial neural network (ANN) for response surface approximation (RSA) and for speeding up fitness evaluations inside GA loop. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:651 / 656
页数:6
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