최적화 기법과 비용-편익 분석을 이용한 빗물이용시설의 규모 결정에 관한 연구

Abstract

In Korea, the impervious area has increased due to urban development since the 1960s. As the impervious area increases, flooding and water circulation distortion are occurring. To solve these water problems, rainwater harvesting unit is needed. However, it is difficult to find a program to determine the capacity of rainwater harvesting unit used by designers. In addition, a simple method is used to design the storage capacity, but it is not clear whether economic analysis is included, so the present study was conducted. one of the metaheuristic methods, Particle Swarm Optimization (PSO), was used to determine the optimal capacity of the rainwater harvesting unit, and the economic feasibility was analyzed using the benefit cost ratio (BCR) method, which is one of the cost-benefit analysis methods. In addition, the program was produced by linking the two method. For the verification of the program, the target area was selected as the rainwater storage tank 5 of the Gwanggyo new city water circulation system construction report, and the economic feasibility was analyzed by comparing the BCR values by capacity when the analysis period was 30 years. All storage capacities were above BCR 1, and among them, the BCR of the storage capacity (341 ) corresponding to a 60% reliability is 7.278, which is considered to be the most economical. Additionally, the cost-benefit relationship was confirmed by analyzing the payback period for each optimal storage capacity. Through these results, the accuracy of the program was verified. Furthermore, the developed computer program helps users quickly determine the capacity of the rainwater harvesting unit using an optimization method and benefit-cost ratio.