TECHNICAL PAPERS
May 13, 2011

Dual Water Distribution Network Design under Triple-Bottom-Line Objectives

Publication: Journal of Water Resources Planning and Management
Volume 138, Issue 2

Abstract

Rapid urban growth has stressed limited supplies of high-quality water sources and water shortage has become a major issue in worldwide. Today, sustainable water supply to meet growing demand is a significant concern for water utilities. Developing additional high-quality sources is not necessarily available; it may be costly to convey water from sources that are usually located far from users or there may be legal battles over water rights. A well-proven source that does not have significant conveyance costs and that does not pose water right conflicts is wastewater reclamation for nonpotable uses. A few studies have been completed for the design of reclaimed water distribution through a parallel pipe system. In earlier works, however, attention has mainly focused on the recycling of effluent for large users, such as golf courses, parks, and schools with the objective of minimizing economic cost. As reclaimed water takes on a larger role in many communities’ water supply, the questions of how and what water to deliver to consumers must be addressed. To that end, this study presents a multi-objective optimization algorithm for designing dual-water distribution systems that recyce effluents for local residential nonpotable uses. Triple-bottom-line objectives are posed, as well as economic costs for pipe and pump installation and operation, environmental costs represented by greenhouse gas production, and system reliability against mechanical failure representing social cost. Under the premise that the systems will be constructed in a new community, thorough comparisons are made between a conventional single system and three alternative dual systems. The resulting problems are mixed integer problems and solved using a genetic algorithm (GA) linked to a hydraulic simulation model. Applications begin to demonstrate water deliver trade-offs and can guide policy decisions on appropriate system types taking a fuller picture of system costs and effects.

Get full access to this article

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

Acknowledgments

This material is based in part upon work supported by the National Science Foundation under Grant No. 083590. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

References

Ambrose, M. D., Salomonsson, G. d., and Burn, S. (2002). “Piping systems embodied energy analysis.” CMIT Doc. 02/302, CSIRO Manufacturing and Infrastructure Technology, Highett, Australia.
Christen, E. W., Shepheard, M. L., Meyer, W. S., Jayawardane, N. S., and Fairweather, H. (2006). “Triple bottom line reporting to promote sustainability of irrigation in Australia.” Irrig. Drain. Syst., 20(4), 329–343.
Clark, R. M., Sivaganesan, M., Selvakumar, A., and Sethi, V. (2002). “Cost model for water supply distribution systems.” J. Water Resour. Plann. Manage., 128(5), 312–321.
Cullinane, M. J., Lansey, K. E., and Mays, L. W. (1992). “Optimization-availability-based design of water-distribution networks.” J. Hydraul. Eng., 118(3), 420–441.
Dandy, G., Bogdanowicz, A., Craven, J., Maywald, A., and Liu, P. (2008). “Optimizing the sustainability of water distribution systems.” Proc. 10th Ann. Water Distribution Systems Analysis Conf., Kruger, South Africa.
Dandy, G. C., and Engelhardt, M. O. (2006). “Multi-objective trade-offs between cost and reliability in the replacement of water mains.” J. Water Resour. Plann. Manage., 132(2), 79–88.
Dandy, G., Roberts, A., Hewitson, C., and Chrystie, P. (2006). “Sustainability objectives for the optimization of water distribution networks.” Proc., 8th Water Distribution System Analysis Symp., ASCE, Reston, VA.
Deb, K., and Goel, T. (2001). “Controlled elitist non-dominated sorting genetic algorithms for better convergence.” Proc., 1st Int. Conf. on Evolutionary Multi-Criterion Optimization (EMO-2001), 67–81.
Deb, K., Pratap, A., Agrawal, S., and Meyarivan, T. (2002). “A fast and elitist multiobjective genetic algorithm: NSGA-II.” IEEE Trans. Evol. Comput., 6(2), 182–197.
Foxon, T. J., McIlkenny, G., Gilmour, D., Oltean-Dumbrava, C., Souter, N., Ashley, R., Butler, D., Pearson, P., Jowitt, P., and Moir, J. (2002). “Sustainability criteria for decision support in the UK water industry.” J. Environ. Plann. Manage., 45(2), 285–301.
Farmani, R., Walters, G. A., and Savic, D. A. (2005). “Trade-off between total cost and reliability for anytown water distribution network.” J. Water Resour. Plann. Manage., 131(3), 161–171.
Fujiwara, O., and De Silva, A. U. (1990). “Algorithm for reliability-based optimal design of water networks.” J. Environ. Eng., 116(3), 575–587.
Fujiwara, O., and Ganesharajah, T. (1993). “Reliability assessment of water supply systems with storage and distribution networks.” Water Resour. Res., 29(8), 2917–2924.
Fujiwara, O., and Tung, H. D. (1991). “Reliability improvement for water distribution networks through increasing pipe size.” Water Resour. Res., 27(7), 1395–1402.
Goldberg, D. E. (1989). Genetic algorithms in search, optimization and machine learning, Addison-Wesley, New York.
Guercio, R., and Xu, Z. (1997). “Linearized optimization model for reliability-based design of water systems.” J. Hydraul. Eng., 123(11), 1020–1025.
Gumerman, R. C., Burris, B. E., and Burris, D. E. (1992). “Standardized costs for water supply distribution systems.” Rep. EPA/5W/DK-92/028, Risk Reduction Engineering Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Cincinnati.
Halhal, D., Walters, G. A., Ouazar, D., and Savic, D. A. (1997). “Water network rehabilitation with structured messy genetic algorithm.” J. Water Resour. Plann. and Manage, 123(3), 137–146.
Kang, D., and Lansey, K. (2010). “Optimal meter placement for water distribution system state-estimation.” J. Water Resour. Plann and Manage., 136(3), 337–347.
Kapelan, Z. S., Savic, D. A., and Walters, G. A. (2005). “Multiobjective design of water distribution systems under uncertainty.” Water Resour. Res., 41(W11407), 15.
Kim, J. H., and Mays, L. W. (1994). “Optimal rehabilitation model for water distribution systems.” J. Water Resour. Plann and Manage, 120(5), 674–692.
Okun, D. A. (1997). “Distribution reclaimed water through dual systems.” J. Am. Water Works Assoc., 89(11), 52–64.
Okun, D. A. (2002). Running out of water? Dual systems may be answer for small communities, Summer Ed., On Tap Magazine, 37–41.
Ostfeld, A. (2005). “Optimal design and operation of multiquality networks under unsteady conditions.” J. Water Resour. Plann and Manage Div., 131(2), 116–124.
Prasad, T. D., and Park, N. (2004). “Multiobjective genetic algorithms for design of water distribution networks.” J. Water Resour. Plann. Manage., 130(1), 73–82.
Prasad, T. D., Walters, G. A., and Savic, D. A. (2004). “Booster disinfection of water supply networks: multiobjective approach.” J. Water Resour. Plann and Manage, 130(5), 367–376.
Rogers, P. D., and Grigg, N. S. (2007). “Alternative approaches for water distribution: Dual and decentralized systems.” Proc. World Environ. and Water Resources Congress 2007, ASCE, Tampa Bay, FL.
Sahely, H. R., Kennedy, C. A., and Adams, B. J. (2005). “Developing sustainability criteria for urban infrastructure systems.” Can. J. Civ. Eng., 32(1), 72–85.
Shinstine, D. S., Ahmed, I., and Lansey, K. E. (2002). “Reliability/availability analysis of municipal water distribution networks: case studies.” J. Water Resour. Plann. Manage., 128(2), 140–151.
Su, Y., Mays, L. W., Duan, N., and Lansey, K. E. (1987). “Reliability-based optimization model for water distribution systems.” J. Hydraul. Eng., 113(12), 1539–1556.
Todini, E. (2000). “Looped water distribution networks design using a resilience index based heuristic approach.” Urban Water J., 2(2), 115–122.
Tolson, B. A., Maier, H. R., Simpson, A. R., and Lence, B. J. (2004). “Genetic algorithms for reliability-based optimization of water distribution systems.” J. Water Resour. Plann and Manage, 130(1), 63–72.
United States Environmental Protection Agency (USEPA). (2000). EPANET user’s manual, Cincinnati.
Walski, T. M., and Pelliccia, A. (1982). “Economic analysis of water main breaks.” J. Am. Water Works Assoc., 74(3), 140–147.
Wang, L., and Lin, L. (2007). “A methodological framework for the triple bottom line accounting and management of industry enterprises.” Int. J. Prod. Res., 45(5), 1063–1088.
Weitzman, M. L. (1998). “Why the far-distant future should be discounted at its lowest possible rate.” J. Environ. Econ. Manage., 36(3), 201–208.
Wu, W., Simpson, A. R., and Maier, H. R. (2008). “Water distribution system optimization accounting for a range of future possible carbon prices.” Proc. 10th Ann. Water Distribution Systems Analysis Conf., Kruger, South Africa.
Wu, W., Simpson, A. R., and Maier, H. R. (2010). “Accounting for greenhouse gas emission in multi-objective genetic algorithm optimization of water distribution systems.” J. Water Resour. Plann and Manage, 136(2), 146–155.
van Zyl, J. E., Savic, D. A., and Walters, G. A. (2004). “Operational optimization of water distribution systems using a hybrid genetic algorithm.” J. Water Resour. Plann Manage, 130(2), 160–170.

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 138Issue 2March 2012
Pages: 162 - 175

History

Received: Jul 4, 2010
Accepted: Apr 30, 2011
Published online: May 13, 2011
Published in print: Mar 1, 2012

Permissions

Request permissions for this article.

Authors

Affiliations

Doosun Kang [email protected]
Assistant Professor, Dept. of Civil Engineering, Univ. of Suwon, 445-743, San 2-2 Wau-ri, Bongdam-eup, Hwaseong-si, Gyeonggi-do, South Korea; formerly, Research Assistant Professor, Dept. of Civil Engineering and Engineering Mechanics, Univ. of Arizona, Tucson, AZ 85721 (corresponding author). E-mail: [email protected]
Kevin Lansey, A.M.ASCE [email protected]
Professor, Dept. of Civil Engineering and Engineering Mechanics, Univ. of Arizona, Tucson, AZ 85721. 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