Optimal Design of Green Gully: A Storm Water Quality Improvement Device Using Genetic Algorithms
Water is a natural and finite resource. The population growth and urbanization require an increasing demand in water around the world. In order to manage water resources in a sustainable manner, storm water reuse has been a popular method of augmenting existing water supplies. This paper uses Genetic Algorithms (GA) approach to optimize a storm water system: Green Gully to maximize its mass flow rate given that this system is full of water without air. Green Gully is a storm water quality improvement device (SQID) which can manage storm water and protect litter and pollutant from entering river. In this paper, a parametric study is carried out to indentify the influence of significant design parametersCcorner fillet changes on the performance. Data is collected by using software FLUENT for flow simulation. The outcomes of simulation are three corner fillet changes significantly influencing the system’s mass flow rate. The proposed method based on Genetic Algorithms (GA) is validated and compared with current storm water system as a case study, which demonstrates a remarkable efficiency by improving 10.19％ mass flow rate.
storm water green gully mass flow rate computer fluid dynamics genetic algorithm FLUENT
Meiru OU Xiaolong XUE
Department of Building Construction Management,Purdue University, West Lafayette, USA 47906 Department of Construction and Real Estate, Harbin Institute of Technology, Harbin, China 150001
国际会议
2011 International Conference on Construction & Real Estate Management(2011建设与房地产管理国际会议)
广州
英文
376-380
2011-11-19（万方平台首次上网日期，不代表论文的发表时间）