Technical Papers
Aug 7, 2014

Exploration of the Trade-Offs between Water Quality and Pumping Costs in Optimal Operation of Regional Multiquality Water Distribution Systems

This article has been corrected.
VIEW CORRECTION
This article is a reply.
VIEW THE ORIGINAL ARTICLE
Publication: Journal of Water Resources Planning and Management
Volume 141, Issue 6

Abstract

This paper explores the trade-offs between water quality and pumping costs objectives in optimization of operation of regional multiquality water distribution systems. The optimization model is designed to concurrently minimize each objective, where water quality is represented by the deviations of constituent concentrations from required values and pumping costs are represented by energy consumed by the pumps. The optimization problem is solved using an optimization software, incorporating the nondominated sorting genetic algorithm II (NSGA-II), linked with network analysis software. Two typical but purposefully different example networks are used. First, a network with multiple water sources of different qualities and second, a network with one water source only, which was converted to represent a regional nondrinking water distribution system. The trade-offs between water quality and pumping costs are explored using a total of 14 scenarios reflecting different water quality configurations of these networks. Those scenarios, into which time variability was introduced for both source water quality and customer water quality requirements, were systematically developed to represent real-life situations that could be found in practice. The results indicate that for the majority of the scenarios, there is a trade-off with a competing nature between water quality and pumping costs objectives. Additionally, it was discovered that multiobjective optimization problems with water quality (i.e., concentration deviations) and pumping costs objectives could be reduced in certain instances into a single-objective problem of minimizing pumping costs. In fact, a regional water distribution system in which water quality is represented by a single conservative constituent can produce either a trade-off or single-objective solution between those two objectives, and this outcome is dependent on both the water quality configuration of the system and system operational flexibility. Last, some particular conclusions are drawn for both a water distribution system with multiple water sources and a water distribution system with a single water source, which suggest how changes in source water qualities or customer water quality requirements may impact system operation. It is, therefore, demonstrated that water utilities which operate regional multiquality nondrinking water distribution systems could benefit from the exploration of trade-offs between water quality and pumping costs for the purpose of operational planning.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The authors wish to acknowledge Josef Bicik, Honorary University Fellow, College of Engineering, Mathematics and Physical Sciences, University of Exeter, U.K., for his consistent and specialized software support in implementation of water quality analysis within GANetXL. You have been extremely helpful, Josef, and we are exceptionally grateful to you. Authors also wish to thank two anonymous reviewers for their valuable comments, which assisted in improving the quality of this paper. This work was supported by the Australian Research Council as Project LP0990908.

References

Alvisi, S., and Franchini, M. (2006). “Near-optimal rehabilitation scheduling of water distribution systems based on a multi-objective genetic algorithm.” Civ. Eng. Environ. Syst., 23(3), 143–160.
Atiquzzaman, M., Liong, S.-Y., and Yu, X. (2006). “Alternative decision making in water distribution network with NSGA-II.” J. Water Resour. Plann. Manage, 122–126.
Babayan, A. V., Savic, D. A., and Walters, G. A. (2007). “Multiobjective optimisation of water distribution system design under uncertain demand and pipe roughness.” Topics on system analysis and integrated water resources management, A. Castelletti, and R. Soncini-Sessa, eds., Elsevier, Amsterdam, Netherlands, 161–172.
Baran, B., von Lucken, C., and Sotelo, A. (2005). “Multi-objective pump scheduling optimisation using evolutionary strategies.” Adv. Eng. Softw., 36(1), 39–47.
Basupi, I., and Kapelan, Z. (2013). “Flexible water distribution system design under future demand uncertainty.” J. Water Resour. Plann. Manage., (Oct. 11, 2013).
Bolognesi, A., Bragalli, C., Marchi, A., and Artina, S. (2014). “Multiobjective design of water distribution networks through the generation of pseudofronts in the hydraulically feasible region.” J. Comput. Civ. Eng., 06014004.
Centre for Water Systems (CWS). (2011). GANetXL—User manual, Univ. of Exeter, Exeter, U.K.
Centre for Water Systems (CWS). (2013). GANetXL, Univ. of Exeter, Exeter, U.K.
Chang, C., and van Zyl, J. E. (2014). “Optimal reliability-based design of bulk water supply systems.” J. Water Resour. Plann. Manage., 32–39.
Cohen, D., Shamir, U., and Sinai, G. (2003). “Comparison of models for optimal operation of multiquality water supply networks.” Eng. Optim., 35(6), 579–605.
Cohen, D., Shamir, U., and Sinai, G. (2009). “Optimisation of complex water supply systems with water quality, hydraulic and treatment plant aspects.” Civ. Eng. Environ. Syst., 26(4), 295–321.
Cohen, D., Uri, S., and Sinai, G. (2000a). “Optimal operation of multi-quality water supply systems-I: Introduction and the Q-C model.” Eng. Optim., 32(5), 549–584.
Cohen, D., Uri, S., and Sinai, G. (2000b). “Optimal operation of multi-quality water supply systems-II: The Q-H model.” Eng. Optim., 32(6), 687–719.
Cohen, D., Uri, S., and Sinai, G. (2000c). “Optimal operation of multi-quality water supply systems-III: The Q-C-H model.” Eng. Optim., 33(1), 1–35.
Deb, K., Agarwal, S., Pratap, A., and Meyarivan, T. (2000). “A fast elitist non-dominated sorting algorithm for multi-objective optimization: NSGA-II.” Parallel Problem Solving from Nature VI - PPSN VI, 6th Int. Conf., Springer, Berlin, Heidelberg, 849–858.
Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T. (2002). “A fast and elitist multiobjective genetic algorithm: NSGA-II.” IEEE Trans. Evol. Comput., 6(2), 182–197.
De Neufville, R., Schaake, J., and Stafford, J. H. (1971). “Systems analysis of water distribution networks.” J. Sanitary Eng. Div., 97(SA6), 825–842.
Farmani, R., Savic, D. A., and Walters, G. A. (2005a). “Evolutionary multi-objective optimization in water distribution network design.” Eng. Optim., 37(2), 167–183.
Farmani, R., Walters, G., and Savic, D. (2006). “Evolutionary multi-objective optimization of the design and operation of water distribution network: Total cost vs. reliability vs. water quality.” J. Hydroinform., 8(3), 165–179.
Farmani, R., Walters, G. A., and Savic, D. A. (2005b). “Trade-off between total cost and reliability for anytown water distribution network.” J. Water Resour. Plann. Manage., 161–171.
Fonseca, C. M., and Fleming, P. J. (1995). “An overview of evolutionary algorithms in multiobjective optimization.” Evol. Comput., 3(1), 1–16.
Fu, G., Kapelan, Z., Kasprzyk, J., and Reed, P. (2013). “Optimal design of water distribution systems using many-objective visual analytics.” J. Water Resour. Plann. Manage., 624–633.
Gessler, J., and Walski, T. M. (1985). “Water distribution system optimization.”, U.S. Army Engineer Waterways Experiment Station, Environmental Laboratory, Vicksburg, MS.
Giustolisi, O., and Berardi, L. (2009). “Prioritizing pipe replacement: From multiobjective genetic algorithms to operational decision support.” J. Water Resour. Plann. Manage., 484–492.
Graymore, M., McRae-Williams, P., Barton, A., and Lehmann, L. (2013). Pipes, ponds and people: Adaptive water management in drylands, VURRN Press, Mt. Helen, VIC, Australia.
Halhal, D., Walters, G. A., Savic, D. A., and Ouazar, D. (1999). “Scheduling of water distribution system rehabilitation using structured messy genetic algorithms.” Evolut. Comput., 7(3), 311–329.
Jin, X., Zhang, J., Gao, J.-L., and Wu, W.-Y. (2008). “Multi-objective optimization of water supply network rehabilitation with non-dominated sorting genetic algorithm-II.” J. Zhejiang Univ. Sci. A, 9(3), 391–400.
Jung, D., Kang, D., Kim, J., and Lansey, K. (2013). “Robustness-based design of water distribution systems.” J. Water Resour. Plann. Manage., 04014033.
Kang, D., and Lansey, K. (2013). “Scenario-based robust optimization of regional water and wastewater infrastructure.” J. Water Resour. Plann. Manage., 325–338.
Kanta, L., Zechman, E., and Brumbelow, K. (2012). “Multiobjective evolutionary computation approach for redesigning water distribution systems to provide fire flows.” J. Water Resour. Plann. Manage., 144–152.
Kapelan, Z. S., Savic, D. A., and Walters, G. A. (2005). “Multiobjective design of water distribution systems under uncertainty.” Water Resour. Res., 41(11), W11407.
Keedwell, E., and Soon-Thiam, K. (2006). “A novel evolutionary meta-heuristic for the multi-objective optimization of real-world water distribution networks.” Eng. Optim., 38(3), 319–333.
Kelner, V., and Leonard, O. (2003). “Optimal pump scheduling for water supply using genetic algorithms.” Int. Congress on Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, EUROGEN 2003, J. A. D. C. Bugeda, J. Periaux, M. Schoenauer, and G. Winter, eds., CIMNE, Barcelona, Spain.
Kurek, W., and Ostfeld, A. (2013). “Multi-objective optimization of water quality, pumps operation, and storage sizing of water distribution systems.” J. Environ. Manage., 115, 189–197.
Kurek, W., and Ostfeld, A. (2014). “Multiobjective water distribution systems control of pumping cost, water quality, and storage-reliability constraints.” J. Water Resour. Plann. Manage., 184–193.
Lopez-Ibanez, M., Devi Prasad, T., and Paechter, B. (2005). “Multi-objective optimisation of the pump scheduling problem using SPEA2.” IEEE Congress on Evolutionary Computation, IEEE, 435–442.
Lopez-Ibanez, M., Prasad, T. D., and Paechter, B. (2008). “Ant colony optimization for optimal control of pumps in water distribution networks.” J. Water Resour. Plann. Manage., 337–346.
Machell, J., and Boxall, J. (2014). “Modeling and field work to investigate the relationship between the age and the quality of drinking water at customer’s taps.” J. Water Resour. Plann. Manage., 04014020.
Mala-Jetmarova, H., Bagirov, A., and Barton, A. (2013a). “Pumping costs and water quality in the battlefield of optimal operation of water distribution networks.” 35th IAHR World Congress (IAHR 2013), Tsinghua University Press, Beijing, China.
Mala-Jetmarova, H., Barton, A., and Briggs, S. (2013b). “Securing water supply in western Victoria through the implementation of regional pipeline systems.” Pipes, ponds and people: Adaptive water management in drylands, M. Graymore, P. McRae-Williams, A. Barton, and L. Lehmann, eds., VURRN Press, Mt Helen, VIC, Australia, 43–76.
Males, R. M., Clark, R. M., Wehrman, P. J., and Gates, W. E. (1985). “Algorithm for mixing problems in water systems.” J. Hydraul. Eng., 206–219.
Marchi, A., et al. (2014). “The battle of the water networks II (BWN-II).” J. Water Resour. Plann. Manage., 04014009.
Mehrez, A., Percia, C., and Oron, G. (1992). “Optimal operation of a multi-source and multiquality regional water systems.” Water Resour. Res., 28(5), 1199–1206.
Ostfeld, A. (1994). “Optimal design of reliable multiquality water supply systems.” D.Sc. thesis, Engineering and Management of Water Resource Program, Technion—Israel Institute of Technology, Haifa, Israel.
Ostfeld, A. (2005). “Optimal design and operation of multiquality networks under unsteady conditions.” J. Water Resour. Plann. Manage., 116–124.
Ostfeld, A., Oliker, N., and Salomons, E. (2014). “Multiobjective optimization for least cost design and resiliency of water distribution systems.” J. Water Resour. Plann. Manage., 04014037.
Ostfeld, A., and Salomons, E. (2004). “Optimal operation of multiquality water distribution systems: Unsteady conditions.” Eng. Optim., 36(3), 337–359.
Ostfeld, A., Salomons, E., and Lahav, O. (2011). “Chemical water stability in optimal operation of water distribution systems with blended desalinated water.” J. Water Resour. Plann. Manage., 531–541.
Ostfeld, A., and Shamir, U. (1993a). “Optimal operation of multiquality networks. I: Steady-state conditions.” J. Water Resour. Plann. Manage., 645–662.
Ostfeld, A., and Shamir, U. (1993b). “Optimal operation of multiquality networks. II: Unsteady conditions.” J. Water Resour. Plann. Manage., 663–684.
Ostfeld, A., and Shamir, U. (1996). “Design of optimal reliable multiquality water-supply systems.” J. Water Resour. Plann. Manage., 322–333.
Percia, C., Oron, G., and Mehrez, A. (1997). “Optimal operation of regional system with diverse water quality resources.” J. Water Resour. Plann. Manage., 105–115.
Prasad, T. D., and Park, N.-S. (2004). “Multiobjective genetic algorithms for design of water distribution networks.” J. Water Resour. Plann. Manage., 73–82.
Raad, D., Sinske, A., and Van Vuuren, J. (2010). “Multiobjective optimization for water distribution system design using a hyperheuristic.” J. Water Resour. Plann. Manage., 592–596.
Rossman, L. A. (2000). “EPANET 2 users manual.”, U.S. Environmental Protection Agency, Cincinnati.
Sakarya, A. B. A., and Mays, L. W. (2003). “Closure to ‘Optimal operation of water distribution pumps considering water quality’ by A. Burcu Altan Sakarya and Larry W. Mays.” J. Water Resour. Plann. Manage., 82.
Savic, D. A., Bicik, J., and Morley, M. S. (2011). “A DSS generator for multiobjective optimisation of spreadsheet-based models.” Environ. Model. Softw., 26(5), 551–561.
Savic, D. A., Walters, G. A., and Schwab, M. (1997). “Multiobjective genetic algorithms for pump scheduling in water supply.” Evolutionary Computing, AISB, Int. Workshop, Selected Papers, Springer, Berlin, Heidelberg.
Schaffer, J. D. (1985). “Multiple objective optimization with vector evaluated genetic algorithms.” Proc., 1st Int. Conf. on Genetic Algorithms, Lawrence Erlbaum Associates, Pittsburgh, 93–100.
Shah, M., and Sinai, G. (1985). “Modeling solute transport in multiquality water networks.”, Agriculture Engineering Faculty, Technion, Haifa, Israel.
Sinai, G., Shina, G., Kitai, E., and Shah, M. (1987). “Physical and computer models of multiquality networks.” J. Water Resour. Plann. Manage., 745–760.
Sotelo, A., and Baran, B. (2001). “Pumping cost optimization in water supply systems using a multi-objective evolutionary combined algorithm.” XV Chilean Conf. on Hydraulic Engineering, Univ. of Concepcion, Concepcion, Chile, 337–347.
Srinivas, N., and Deb, K. (1994). “Multiobjective optimization using nondominated sorting in genetic algorithms.” Evol. Comput., 2(3), 221–248.
Vamvakeridou-Lyroudia, L. S., Walters, G. A., and Savic, D. A. (2005). “Fuzzy multiobjective optimization of water distribution networks.” J. Water Resour. Plann. Manage., 467–476.
Van Veldhuizen, D. A., and Lamont, G. B. (2000). “Multiobjective evolutionary algorithms: Analyzing the state-of-the-art.” Evol. Comput., 8(2), 125–147.
Walski, T. M., et al. (1987). “Battle of network models: Epilogue.” J. Water Resour. Plann. Manage., 191–203.
Walters, G. A., Halhal, D., Savic, D., and Ouazar, D. (1999). “Improved design of ‘Anytown’ distribution network using structured messy genetic algorithms.” Urban Water, 1(1), 23–38.
Wu, W., Maier, H. R., and Simpson, A. R. (2010). “Single-objective versus multiobjective optimization of water distribution systems accounting for greenhouse gas emissions by carbon pricing.” J. Water Resour. Plann. Manage., 555–565.

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 141Issue 6June 2015

History

Received: Oct 6, 2013
Accepted: Apr 9, 2014
Published online: Aug 7, 2014
Discussion open until: Jan 7, 2015
Published in print: Jun 1, 2015

Permissions

Request permissions for this article.

Authors

Affiliations

Helena Mala-Jetmarova [email protected]
Ph.D. Student, School of Science, Information Technology and Engineering, Faculty of Science, Federation Univ. Australia, Mt. Helen Campus, University Dr., Ballarat, VIC 3350, Australia (corresponding author). E-mail: [email protected]
Andrew Barton, M.ASCE [email protected]
Senior Lecturer, School of Science, Information Technology and Engineering, Faculty of Science, Federation Univ. Australia, Mt. Helen Campus, University Dr., Ballarat, VIC 3350, Australia. E-mail: [email protected]
Adil Bagirov [email protected]
Associate Professor, School of Science, Information Technology and Engineering, Faculty of Science, Federation Univ. Australia, Mt. Helen Campus, University Dr., Ballarat, VIC 3350, Australia. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share