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
Booster chlorination stations HS-Solver Simulation–optimization Water distribution networks
References
- 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.
- 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.
- 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.
- 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.
- 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.
- Propato M, Uber JG. “Booster system design using mixed-integer quadratic programming”. Journal of Water Resources Planning and Management, 130(4), 348-352, 2004.
- Ostfeld A, Salomons E. “Conjunctive optimal scheduling of pumping and booster chlorine injections in water distribution systems”. Engineering Optimization, 38(3), 337-352, 2006.
- Ozdemir ON, Ucaner ME. “Success of booster chlorination for water supply networks with genetic algorithms”. Journal of Hydraulic Research, 43(3), 267-275, 2005.
- Chu CW, Lin MD, Tsai KT. “Optimal scheduling of booster chlorination with immune algorithm”. 3rd International Conference on Convergence and Hybrid Information Technology (ICCIT’08), Busan, South Korea, 11-13 November 2008.
- Wang H, Guo W. “Ant colony optimization for booster chlorination stations of water distribution systems”. Proceedings of the 2010 International Conference on Computer Application and System Modeling (ICCASM), Taiyuan, China, 22-24 October 2010.
- Wang H, Guo W, Xu J, Gu H. “A hybrid PSO for optimizing locations of booster chlorination stations in water distribution systems”. Proceedings of the 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA), Changsha, China, 11-12 May 2010.
- Gokce S, Ayvaz MT. “Application of harmony search algorithm for solving the booster station optimization problems in water distribution networks”. Proceedings of the International Civil Engineering & Architecture Symposium for Academicians (ICESA2014), Side, Turkey, 17-20 May 2014.
- Gokce S, Ayvaz MT. “A simulation-optimization model for optimal estimation of the numbers, locations and chlorine injection rates of the booster stations in water distribution networks”. 11th International Conference on Hydroinformatics (HIC2014), New York, USA, 17-21 August 2014.
- Ayvaz MT, Kayhan AH, Ceylan H, Gurarslan G. “Hybridizing harmony search algorithm with a spreadsheet solver for solving continuous engineering optimization problems”. Engineering Optimization, 41(12), 1119-1144, 2009.
- Shannon MW. Evolutionary Algorithms With Local Search for Combinatorial Optimization. PhD Thesis, University of California, San Diego, USA, 1998.
- Ayvaz MT, Kentel E. “Identification of the best booster station network for a water distribution system”. Journal of Water Resources Planning and Management, 141(5), 1-10, 2015.
- Rossman LA. “EPANET 2 User’s Manual”. U.S. Environmental Protection Agency, EPA/600/R-00/057, 2000.
- Ayvaz MT, Elçi A. “A groundwater management tool for solving the pumping cost minimization problem for the Tahtali watershed (Izmir-Turkey) using hybrid HS-Solver optimization algorithm”. Journal of Hydrology, 478, 63-76, 2013.
- Ayvaz MT, Elçi A. Application of Hybrid HS-Solver Algorithm to the Solution of Groundwater Management Problems. Editors: Yang XS, Hossein Alavi A, Gandomi AH, Talatahari S. Metaheuristics in Water, Geotechnical and Transport Engineering, 79-97, New York, USA, Elsevier, 2013.
- Geem ZW, Kim JH, Loganathan GV. “A new heuristic optimization algorithm: Harmony search”. Simulation, 76(2), 60-68, 2001.
- Geem ZW. “Novel derivative of harmony search algorithm for discrete design variables”. Applied Mathematics and Computation, 199(1), 223-230, 2008.
- Frontline Systems. “Premium Solver’s Web Site”. http://www.solver.com/premium-solver-platform#tab2 (03.02.2017).
- Gökce S. Determination of the Booster Chlorination Plans in Water Distribution Networks Using Simulation Optimization Models. MSc Thesis, Pamukkale University, Denizli, Turkey (In Turkish), 2014.
Abstract
Bu çalışmada, su dağıtım
şebekelerindeki ek klorlama istasyonlarının optimum tasarımı amacıyla bir
hibrit simülasyon-optimizasyon yaklaşımı geliştirilmiştir. Geliştirilen
yaklaşımda, talep noktalarındaki bakiye klor konsantrasyonları tepki matrisi
yaklaşımı ile belirlenmiştir. Oluşturulan tepki matrisi ardından hibrit
HS-Solver optimizasyon yaklaşımının kullanıldığı bir optimizasyon modeline
entegre edilmiştir. HS-Solver, armoni araştırması ile elektronik tablolama
programlarında kullanılan Solver eklentisinin sırasıyla global ve lokal
optimizasyon aracı olarak kullanıldığı yeni önerilmiş bir optimizasyon yaklaşımıdır.
Geliştirilen yaklaşımda HS-Solver’ın amacı bakiye klor konsantrasyonlarını arzu
edilen limitlerde tutacak şekilde ek klorlama istasyon sisteminin optimum
tasarımını yapmaktır. Geliştirilen yaklaşımın uygulanabilirliği gerçek bir su
dağıtım şebekesi üzerinde test edilmiştir. Elde edilen sonuçlar, geliştirilen
HS-Solver tabanlı çözüm yaklaşımı ile literatürde verilenlerle uyumlu veya daha
iyi sonuçlar elde edilebildiğini göstermiştir.
References
- 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.
- 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.
- 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.
- 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.
- 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.
- Propato M, Uber JG. “Booster system design using mixed-integer quadratic programming”. Journal of Water Resources Planning and Management, 130(4), 348-352, 2004.
- Ostfeld A, Salomons E. “Conjunctive optimal scheduling of pumping and booster chlorine injections in water distribution systems”. Engineering Optimization, 38(3), 337-352, 2006.
- Ozdemir ON, Ucaner ME. “Success of booster chlorination for water supply networks with genetic algorithms”. Journal of Hydraulic Research, 43(3), 267-275, 2005.
- Chu CW, Lin MD, Tsai KT. “Optimal scheduling of booster chlorination with immune algorithm”. 3rd International Conference on Convergence and Hybrid Information Technology (ICCIT’08), Busan, South Korea, 11-13 November 2008.
- Wang H, Guo W. “Ant colony optimization for booster chlorination stations of water distribution systems”. Proceedings of the 2010 International Conference on Computer Application and System Modeling (ICCASM), Taiyuan, China, 22-24 October 2010.
- Wang H, Guo W, Xu J, Gu H. “A hybrid PSO for optimizing locations of booster chlorination stations in water distribution systems”. Proceedings of the 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA), Changsha, China, 11-12 May 2010.
- Gokce S, Ayvaz MT. “Application of harmony search algorithm for solving the booster station optimization problems in water distribution networks”. Proceedings of the International Civil Engineering & Architecture Symposium for Academicians (ICESA2014), Side, Turkey, 17-20 May 2014.
- Gokce S, Ayvaz MT. “A simulation-optimization model for optimal estimation of the numbers, locations and chlorine injection rates of the booster stations in water distribution networks”. 11th International Conference on Hydroinformatics (HIC2014), New York, USA, 17-21 August 2014.
- Ayvaz MT, Kayhan AH, Ceylan H, Gurarslan G. “Hybridizing harmony search algorithm with a spreadsheet solver for solving continuous engineering optimization problems”. Engineering Optimization, 41(12), 1119-1144, 2009.
- Shannon MW. Evolutionary Algorithms With Local Search for Combinatorial Optimization. PhD Thesis, University of California, San Diego, USA, 1998.
- Ayvaz MT, Kentel E. “Identification of the best booster station network for a water distribution system”. Journal of Water Resources Planning and Management, 141(5), 1-10, 2015.
- Rossman LA. “EPANET 2 User’s Manual”. U.S. Environmental Protection Agency, EPA/600/R-00/057, 2000.
- Ayvaz MT, Elçi A. “A groundwater management tool for solving the pumping cost minimization problem for the Tahtali watershed (Izmir-Turkey) using hybrid HS-Solver optimization algorithm”. Journal of Hydrology, 478, 63-76, 2013.
- Ayvaz MT, Elçi A. Application of Hybrid HS-Solver Algorithm to the Solution of Groundwater Management Problems. Editors: Yang XS, Hossein Alavi A, Gandomi AH, Talatahari S. Metaheuristics in Water, Geotechnical and Transport Engineering, 79-97, New York, USA, Elsevier, 2013.
- Geem ZW, Kim JH, Loganathan GV. “A new heuristic optimization algorithm: Harmony search”. Simulation, 76(2), 60-68, 2001.
- Geem ZW. “Novel derivative of harmony search algorithm for discrete design variables”. Applied Mathematics and Computation, 199(1), 223-230, 2008.
- Frontline Systems. “Premium Solver’s Web Site”. http://www.solver.com/premium-solver-platform#tab2 (03.02.2017).
- Gökce S. Determination of the Booster Chlorination Plans in Water Distribution Networks Using Simulation Optimization Models. MSc Thesis, Pamukkale University, Denizli, Turkey (In Turkish), 2014.
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Research Article |
| Authors | |
| Publication Date | June 29, 2018 |
| Published in Issue | Year 2018 Volume: 24 Issue: 3 |
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