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http://dx.doi.org/10.3741/JKWRA.2020.53.9.681

Capacity determination for a rainfall harvesting unit using an optimization method  

Jin, Youngkyu (Department of Civil Engineering, Pukyong National University)
Kang, Taeuk (Disaster Prevention Research Institute, Pukyong National University)
Lee, Sangho (Department of Civil Engineering, Pukyong National University)
Jeong, Taekmun (Department of Civil Engineering, Pukyong National University)
Publication Information
Journal of Korea Water Resources Association / v.53, no.9, 2020 , pp. 681-690 More about this Journal
Abstract
Generally, the design capacity of the rainwater harvesting unit is determined by trial and error method that is repeatedly calculating various analysis scenarios with capacity, reliability, and rainwater utilization ratio, etc. This method not only takes a lot of time to analyze but also involves a lot of calculations, so analysis errors may occur. In order to solve the problem, this study suggested a way to directly determine the minimum capacity to meet arbitrary target reliabilities using the global optimization method. The method was implemented by simulation model with particle swarm optimization (PSO) algorithms using Python language. The pyswarm that is provided as an open-source of python was used as optimization method, that can explore global optimum, and consider constraints. In this study, the developed program was applied to the design data for the rainwater harvesting constructed in Cheongna district 1 in Incheon to verify the efficiency, stability, and accuracy of the analysis. The method of determining the capacity of the rainwater harvesting presented in this study is considered to be of practical value because it can improve the current level of analytical technology.
Keywords
Rainwater harvesting; Storage; Particle swarm optimization; Reliability;
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