Research Article

Optimum design of the booster chlorination systems by using hybrid HS-Solver optimization approach

Volume: 24 Number: 3 June 29, 2018
EN TR

Optimum design of the booster chlorination systems by using hybrid HS-Solver optimization approach

Abstract

A hybrid simulation-optimization approach is developed in this study for optimally designing the booster chlorination systems in water distribution networks. In the developed approach, chlorine residuals in the demand locations are determined by using the response matrix (RM) approach. The generated RM is then integrated to an optimization model where a hybrid HS–Solver optimization approach is used.
HS-Solver is a recently proposed hybrid approach which integrates the harmony search (HS) algorithm and a spreadsheet Solver as the global and local optimizers, respectively. The objective of the HS-Solver in the developed approach is for optimally designing the booster stations by maintaining the chlorine residuals within desired limits. The applicability of the developed approach is tested on a real water distribution network. Identified results indicate that the developed
HS-Solver based solution approach determined similar or better results than those obtained by using the different solution approaches in literature.

Keywords

References

  1. Propato M, Uber JG. “Linear least-squares formulation for operation of booster disinfection systems”. Journal of Water Resources Planning and Management, 130(1), 53-62, 2004.
  2. Munavalli GR, Mohan Kumar MS. “Optimal scheduling of multiple chlorine sources in water distribution systems”. Journal of Water Resources Planning and Management, 129(6), 493-504, 2003.
  3. Prasad TD, Walters GA, Savic DA. “Booster disinfection of water supply networks: Multiobjective approach”. Journal of Water Resources Planning and Management, 130(5), 367-376, 2004.
  4. Bocelli DL, Tryby ME, Uber JG, Rossman LA, Zierolf ML, Polycarpou MM. “Optimal scheduling of booster disinfection in water distribution systems”. Journal of Water Resources Planning and Management, 124(2), 99-111, 1998.
  5. Tryby ME, Bocelli DL, Uber JG, Rossman LA. “Facility location model for booster disinfection of water supply networks”. Journal of Water Resources Planning and Management, 128(5), 322-333, 2002.
  6. Propato M, Uber JG. “Booster system design using mixed-integer quadratic programming”. Journal of Water Resources Planning and Management, 130(4), 348-352, 2004.
  7. Ostfeld A, Salomons E. “Conjunctive optimal scheduling of pumping and booster chlorine injections in water distribution systems”. Engineering Optimization, 38(3), 337-352, 2006.
  8. Ozdemir ON, Ucaner ME. “Success of booster chlorination for water supply networks with genetic algorithms”. Journal of Hydraulic Research, 43(3), 267-275, 2005.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

June 29, 2018

Submission Date

February 6, 2017

Acceptance Date

-

Published in Issue

Year 2018 Volume: 24 Number: 3

APA
Ayvaz, M. T., & Geem, Z. W. (2018). Optimum design of the booster chlorination systems by using hybrid HS-Solver optimization approach. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 24(3), 444-452. https://izlik.org/JA45SP85LB
AMA
1.Ayvaz MT, Geem ZW. Optimum design of the booster chlorination systems by using hybrid HS-Solver optimization approach. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2018;24(3):444-452. https://izlik.org/JA45SP85LB
Chicago
Ayvaz, Mustafa Tamer, and Zong Woo Geem. 2018. “Optimum Design of the Booster Chlorination Systems by Using Hybrid HS-Solver Optimization Approach”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 24 (3): 444-52. https://izlik.org/JA45SP85LB.
EndNote
Ayvaz MT, Geem ZW (June 1, 2018) Optimum design of the booster chlorination systems by using hybrid HS-Solver optimization approach. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 24 3 444–452.
IEEE
[1]M. T. Ayvaz and Z. W. Geem, “Optimum design of the booster chlorination systems by using hybrid HS-Solver optimization approach”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 24, no. 3, pp. 444–452, June 2018, [Online]. Available: https://izlik.org/JA45SP85LB
ISNAD
Ayvaz, Mustafa Tamer - Geem, Zong Woo. “Optimum Design of the Booster Chlorination Systems by Using Hybrid HS-Solver Optimization Approach”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 24/3 (June 1, 2018): 444-452. https://izlik.org/JA45SP85LB.
JAMA
1.Ayvaz MT, Geem ZW. Optimum design of the booster chlorination systems by using hybrid HS-Solver optimization approach. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2018;24:444–452.
MLA
Ayvaz, Mustafa Tamer, and Zong Woo Geem. “Optimum Design of the Booster Chlorination Systems by Using Hybrid HS-Solver Optimization Approach”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 24, no. 3, June 2018, pp. 444-52, https://izlik.org/JA45SP85LB.
Vancouver
1.Mustafa Tamer Ayvaz, Zong Woo Geem. Optimum design of the booster chlorination systems by using hybrid HS-Solver optimization approach. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi [Internet]. 2018 Jun. 1;24(3):444-52. Available from: https://izlik.org/JA45SP85LB