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2020 Vol.53, Issue 9 Preview Page

Research Article

Capacity determination for a rainfall harvesting unit using an optimization method

최적화 기법을 이용한 빗물이용시설의 저류 용량 결정

Youngkyu Jina
,
Taeuk Kangb
,
Sangho Leec*
,
Taekmun Jeongd
진 영규a
,
강 태욱b
,
이 상호c*
,
정 택문d
aPh.D Candidate, Department of Civil Engineering, Pukyong National University
bResearch professor, Disaster Prevention Research Institute, Pukyong National University
cProfessor, Department of Civil Engineering, Pukyong National University
dMaster course, Department of Civil Engineering, Pukyong National University
a부경대학교 토목공학과 박사과정
b부경대학교 방재연구소 전임연구교수
c부경대학교 토목공학과 교수
d부경대학교 토목공학과 석사과정
* Corresponding Author
30 September 2020. pp. 681-690
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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

일반적으로 빗물이용시설의 설계 저류 용량은 다양한 시나리오(저류 용량, 공급 보장률, 우수 이용률 등)에 대한 반복적인 계산을 통해 결정된다. 이 방법은 분석에 많은 시간이 소요될 뿐만 아니라 많은 계산이 수반되므로 분석 오류가 나타날 수도 있다. 본 연구에서는 이러한 문제점을 해결하기 위해 최적화 기법을 이용하여 임의의 목표 보장률을 만족하는 최소의 저류 용량을 직접적으로 결정할 수 있는 방법을 제시하였다. 해당 방법은 Python 언어를 이용하여 모의 모형과 입자 군집 최적화를 연계하여 구현되었다. 최적화 기법은 Python의 오픈 소스로 제공되는 pyswarm을 이용하였는데, 해당 알고리즘은 전역 최적해 탐색이 가능하고, 제약조건을 고려할 수 있다. 최적화 기법을 이용한 빗물이용시설의 저류 용량 결정 방법은 인천 청라지구 1공구에 설치된 빗물이용시설의 설계자료에 적용하여 분석의 효율성, 안정성, 정확성을 검증하였다. 본 연구에서 제시한 빗물이용시설의 저류 용량 결정 방법은 현재의 분석 기술 수준을 개선할 수 있으므로 실용적 가치가 있는 것으로 판단된다.

키워드
빗물이용시설
저류 용량
입자 군집 최적화
보장률
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Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 53
  • No :9
  • Pages :681-690
  • Received Date : 2020-07-23
  • Revised Date : 2020-08-10
  • Accepted Date : 2020-08-10
  • DOI :https://doi.org/10.3741/JKWRA.2020.53.9.681
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