Evaluating Flexibility in Water Distribution System Design under Future Demand Uncertainty
This article has been corrected.
VIEW CORRECTIONPublication: Journal of Infrastructure Systems
Volume 21, Issue 2
Abstract
Performance of water distribution systems (WDSs) is highly dependent on consumer water demand that has to be met with adequate pressure. With uncertain future water demand due to the effect of rapid urbanization and climate change, WDSs may underperform or end up being overdesigned because of the long-term unforeseen future conditions. Long-term planning of WDS therefore requires strategic, cost-effective, and sustainable design intervention investment across the entire planning horizon that is uncertain in nature. However, making the most appropriate decisions on such intervention measures that keep up the performance of WDS under uncertainty is a challenge. This paper illustrates the importance of flexible WDS design under uncertain future water demand. The methodology has been tested on the New York Tunnels and the Anytown network interventions in the long-term planning. The approach is compared with the traditional deterministic intervention plans. The analysis results demonstrate that there is potential WDS performance value obtained when flexible design approach is adopted rather than the conventional deterministic practice.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This research work has been fully supported by a University of Exeter Ph.D. scholarship, which is gratefully acknowledged.
References
Babayan, A., Kapelan, Z., Savic, D., and Walters, G. (2005). “Least-cost design of water distribution networks under demand uncertainty.” J. Water Resour. Plann. Manage., 375–382.
Banos, R., Reca, J., Martínez, J., Gil, C., and Márquez, A. L. (2011). “Resilience indexes for water distribution network design: A performance analysis under demand uncertainty.” Water Resour. Manage., 25, 2351–2366.
Burovskiy, P., Kapelan, Z., and Fu, G. (2011). “Stochastic risk-based optimisation of water distribution systems with unknown water demands.” Eleventh Int. Conf. on Computing and Control for the Water Industry Proc., Centre for Water Systems, Univ. of Exeter, Exeter, U.K., 83–88.
Centre for Water Systems (CWS). (2013). Univ. of Exeter, 〈http://emps.exeter.ac.uk/engineering/research/cws/resources/benchmarks/expansion/new-york-water.html〉 (Mar. 26, 2013).
Creaco, E., Franchini, M., and Walski, T. M. (2013). “Accounting for phasing of construction within the design of water distribution networks.” J. Water Resour. Plann. Manage., 598–606.
Dandy, G. C., Simpson, A. R., and Murphy, L. J. (1996). “An improved genetic algorithm for pipe network optimization.” Water Resour. Res., 32(2), 449–458.
De Neufville, R. (2003). “Real options: Dealing with uncertainty in systems planning and design.” Integr. Assess., 4(1), 26–34.
De Neufville, R. (2004). “Uncertainty management for Engineering systems planning and design.” Engineering Systems Symp., MIT, Cambridge, MA.
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., 161–171.
Giustolisi, O., Laucelli, D., and Colombo, A. F. (2009). “Deterministic versus stochastic design of water distribution networks.” J. Water Resour. Plann. Manage., 117–127.
Huang, D., Vairavamoorthy, K., and Tsegaye, S. (2010). “Flexible design of urban water distribution networks.” World Environmental and Water Resources Congress 2010: Challenges of Change, ASCE, Reston, VA, 4225–4236.
Jayaram, N., and Srinivasan, K. (2008). “Performance-based optimal design and rehabilitation of water distribution networks using life cycle costing.” Water Resour. Res., 44(1), W01417.
Kang, D., and Lansey, K. (2012). “Scenario-based multistage construction of water supply infrastructure.” World Environmental and Water Resources Congress 2012: Crossing Boundaries, ASCE, Reston, VA, 3265–3274.
Kapelan, Z., Savic, D., and Walters, G. (2005). “Multiobjective design of water distribution systems under uncertainty.” Water Resour. Res., 41(11), W11407.
Lansey, K. E., Duan, N., Mays, L., and Tung, Y. K. (1989). “Water distribution system design under uncertainties.” J. Water Resour. Plann. Manage., 630–645.
Maier, H. R., et al. (2003). “Ant colony optimization for design of water distribution systems.” J. Water Resour. Plann. Manage., 200–209.
Prasad, T. D., and Park, N.-S. (2004). “Multiobjective genetic algorithms for design of water distribution networks.” J. Water Resour. Plann. Manage., 73–82.
Rossman, L. (2000). Epanet2 users manual, USEPA, Washington, DC.
Todini, E. (2000). “Looped water distribution networks design using a resilience index based heuristic approach.” Urban Water, 2, 115–122.
Walski, T. M. (2013). “Long-term water distribution design.” World Environmental and Water Resources Congress 2013: Showcasing the Future, ASCE, Reston, VA, 830–844.
Walski, T. M., et al. (1987). “Battle of the network models: epilogue.” J. Water Resour. Plann. Manage., 191–203.
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.
Xu, C., and Goulter, I. C. (1999). “Reliability-based optimal design of water distribution networks.” J. Water Resour. Plann. Manage., 352–362.
Information & Authors
Information
Published In
Journal of Infrastructure Systems
Volume 21 • Issue 2 • June 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Nov 19, 2012
Accepted: Nov 5, 2013
Published online: May 19, 2014
Discussion open until: Oct 19, 2014
Published in print: Jun 1, 2015
Authors
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.