Application of Optimization Algorithms for Leakage Identification for Data Sparse Old Town

• 영문명: Application of Optimization Algorithms for Leakage Identification for Data Sparse Old Town
• 발행기관: 위기관리 이론과 실천
• 저자명: 강슬기(Seul Gi Kang) 정진우(Jin Woo Jung) 변성준(Seong Joon Byeon)
• 간행물 정보: 『한국위기관리논집』Vol.19 No.10, 85~102쪽, 전체 18쪽
• 주제분류: 사회과학 > 행정학
• 파일형태: PDF
• 발행일자: 2023.11.30

영문 초록

Numerous cities developed in the 20th century have a Water Distribution Network(WDN) with decade-old pipes. Aging pipelines can leak with lower the water revenue ratio, thus resulting in waste and economic losses. In this study, new methods for localizing leakage in WDNs are proposed and tested. Two meta-heuristic methods based on Harmony Search(HS) and Genetic Algorithm(GA) are developed to detect leakage of WDNs through an evaluation of emitter coefficients. The old town of G-Town in South Korea has a 50-year-old WDN and a low water revenue ratio. High quality field measurements in G-Town allowed detailed testing of optimization methods based on emitter coefficients for leakage detection. As a result, both GA and HS yielded comparable outputs. The HS method performed with slightly better accuracy in minimizing the objective function than GA after about 1,000 iterations. Leakage detection becomes fairly accurate after approximately 30 minutes of optimization and pipe networks with more than 100 pipes and 50 nodes require more iterations and calculation time.

목차

Ⅰ. Introduction

Ⅱ. Materials and Method

Ⅲ. Simple Loops Case Study

Ⅳ. Field Implementation for Old Town

Ⅴ. Discussion

Ⅵ. Conclusion

Notation

Acknowledgement

References

키워드

leakage optimization emitter coefficient genetic algorithm harmony search