Optimal design of bioretention cells using multi-objective optimization technique

Abstract

a b s t r a c tThe installation and maintenance costs, as well as non-point pollution reduction efficiency of LID facilities, should be reflected to design and apply LID facilities. In addition, when considering the characteristics of LID facilities installed in a spatially distributed way, efficiencies and costs associated with installation locations of LID facilities should also be reflected in the design. In this study, the optimal design method of multiple bioretention cells is proposed with a focus on considering both cost and non-point pollution (TP) reduction efficiency. EPA SWMM is applied to simulate bioretention cells in the target catchment, and an interaction module between MATLAB and EPA SWMM is constructed to optimize multiple objective functions. The target catchment is the Daeyeon Campus of Pukyong National University at Busan, South Korea, and a total of 140 bioretention cells design alternatives are searched to obtain optimal design solution. As a result of comparing the three design alternatives based on the cost, it is shown that the proposed method can find the optimal design layout for a total design capacity of bioretention cells and install locations in accordance with the given budget.