Operational and Tactical Management of Water and Energy Resources in Pressurized Systems: Competition at WDSA 2014
Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 5
Abstract
Optimal management of water and energy resources worldwide is a basis for environmental and socioeconomic sustainability in urban areas, which has become even more relevant with the advent of the smart and water sensitive city paradigm. In water distribution networks (WDNs) water resource management is concerned with increased efficiency, which is primarily related to the reduction of leakages, whereas energy management refers to optimal pump, valve, and source scheduling strategies considering the hydraulic system requirements. These management goals require planning of asset renewal and improvement works in the short time (operational) and medium time (tactical) horizons, considering the financial sustainability of relevant actions. The battle of background leakage assessment for water networks (BBLAWN) was designed as a competition held at the 16th Water Distribution Systems Analysis Conference, in Bari (Italy) in 2014 (WDSA), to address the aforementioned management goals. The teams taking part in the BBLAWN were asked to develop a methodology for both reducing real water losses and saving energy in a real WDN considering the possibility of asset renewal and strengthening. Fourteen teams from academia, research centers, and industry presented their solutions at a special session of the WDSA 2014 conference. This paper briefly describes the BBLAWN and presents one of the solutions provided by the organizers to illustrate the ideas and challenges embedded in the posed problem. The overview of the solutions provided by the participants shows that management decisions need to be supported by engineering judgment and with tools that combine computationally effective multiobjective optimization and hydraulic models capable of assessing pressure-dependent background leakages.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The organizers thank all the participants who contributed to the success of the competition: M. Morley, C. Tricarico, E. Roshani, Y. Filion, P. L. Iglesias-Rey, F. J. Martínez-Solano, D. Mora Meliá, P. D. Martínez-Solano, E. Creaco, S. Alvisi, M. Franchini, E. Price, A. Ostfeld, K. Diao, M. Guidolin, G. Fu, R. Farmani, D. Butler, B. J. Eck, E. Arandia, J. Naoum-Sawaya, F. Wirth, B. A. Tolson, A. Khedr, J. Saldarriaga, D. Páez, J. Bohórquez, N. PÆez, J. P. París, D. Rincón, C. Salcedo, D. Vallejo, J. P. Matos, A. J. Monteiro, N. Matias, A. J. Schleiss, F. Rahmani, K. Behzadian, J. Sousa, J. Muranho, A. Sá Marques, R. Gomes, A. Vassiljev, T. Koppel, R. Puust, M. E. Shafiee, A. Berglund, E. Zechman Berglund, E. D. Brill Jr., G. Mahinthakumar. The four teams ranked as best in the competition during the conference are reported on BBLAWN webpage. This research was founded by two projects of the Italian Scientific Research Program of National Interest PRIN-2012: “Tools and procedure for advanced and sustainable management of water distribution networks” (n. 20127PKJ4X) and “Analysis tools for management of water losses in urban aqueducts” (n. 201252RZ2Y)—Italian Ministry of Education, University and Research.
References
Blue Book. (2011). “I dati sul servizio idrico integrato in Italia.” L. Baggiani, M. D’Ascenzi, and L. Bardelli, eds., Utilitatis (in Italian).
Creaco, E., Alvisi, S., and Franchini, M. (2014). “A multi-step approach for optimal design and management of the C-town pipe network model.” Procedia Eng., 89, 37–44.
Creaco, E., Alvisi, S., and Franchini, M. (2015). “Multi-step approach for optimizing design and operation of the C-town pipe network model.” J. Water Resour. Plann. Manage., in press.
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.
Delgrado-Galvan, X., Perez-Garcia, R., Izquierdo, J., and Mora-Rodriguez, J. (2010). “An analytic hierarchy process for assessing externalities in water leakage management.” Math. Comput. Modell., 52(7–8), 1194–1202.
Diao, K., Fu, G., Farmani, R., Guidolin, M., and Butler, D. (2015). “Twin hierarchy decomposition for optimal design of water distribution systems.” J. Water Resour. Plann. Manage., in press.
Diao, K., Guidolin, M., Fu, G., Farmani, R., and Butler, D. (2014). “Hierarchical decomposition of water distribution systems for background leakage assessment.” Procedia Eng., 89, 53–58.
Eck, B. J., Arandia, E., Naoum-Sawaya, J., and Wirth, F. (2014). “A simulation-optimization approach for reducing background leakage in water systems.” Procedia Eng., 89, 59–68.
Eck, B. J., Arandia, E., Naoum-Sawaya, J., and Wirth, F. R. (2015). “A decomposition approach for background leakage assessment: The BBLAWN instance.” J. Water Resour. Plann. Manage., in press.
European Commission. (2013). “Resource and economic efficiency of water distribution networks in the EU.”.
Germanopoulos, G. (1985). “A technical note on the inclusion of pressure dependent demand and leakage terms in water supply network models.” Civ. Eng. Syst., 2(3), 171–179.
Giustolisi, O. (2010). “Considering actual pipe connections in WDN analysis.” J. Hydraul. Eng., 889–900.
Giustolisi, O., Berardi, L., and Laucelli, D. (2014a). “Supporting decision on energy versus asset cost optimization in drinking water distribution networks.” Procedia Eng., 70, 734–743.
Giustolisi, O., Berardi, L., Laucelli, D., Savic, D., Walski, T., and Brunone, B. (2014b). “Battle of background leakage assessment for water networks (BBLAWN) at WDSA conference 2014.” Procedia Eng., 89, 4–12.
Giustolisi, O., Laucelli, D., and Berardi, L. (2013). “Operational optimization: Water losses versus energy costs.” J. Hydraul. Eng., 410–423.
Giustolisi, O., Savic, D. A., Berardi, L., and Laucelli, D. (2011). “An excel-based solution to bring water distribution network analysis closer to users.” Proc., Computer and Control in Water Industry (CCWI), D. A. Savic, Z. Kapelan, and D. Butler, eds., Vol. 3, Exeter, U.K., 805–810.
Giustolisi, O., Savic, D. A., and Kapelan, Z. (2008). “Pressure-driven demand and leakage simulation for water distribution networks.” J. Hydraul. Eng., 626–635.
Giustolisi, O., and Todini, E. (2009). “Pipe hydraulic resistance correction in WDN analysis.” Urban Water J., 6(1), 39–52.
Giustolisi, O., and Walski, T. M. (2012). “A demand components in water distribution network analysis.” J. Water Resour. Plann. Manage., 356–367.
Iglesias-Rey, P. L., Martínez-Solano, F. J., Mora Meliá, D., and Martínez-Solano, P. D. (2014). “BBLAWN: A combined use of best management practices and an optimization model based on a pseudo-genetic algorithm.” Procedia Eng., 89, 29–36.
Iglesias-Rey, P. L., Martínez-Solano, F. J., Mora Meliá, D., and Martínez-Solano, P. D. (2015). “Combining engineering judgment and an optimization model to increase the hydraulic and energy efficiency in water distribution networks.” J. Water Resour. Plann. Manage., in press.
Khedr, A., and Tolson, B. (2015). “Comparing optimization techniques against an engineering judgement approach to WDN design.” J. Water Resour. Plann. Manage., in press.
Marchi, A., et al. (2014). “Battle of the water networks II.” J. Water Resour. Plann. Manage., 04014009.
Matos, J. P., Monteiro, A. J., Matias, N., and Schleiss, A. J. (2014). “Guided evolutionary approaches for redesigning water distribution networks.” Procedia Eng., 89, 87–94.
Matos, J. P., Monteiro, A. J., Matias, N. M., and Schleiss, A. J. (2015). “Redesigning water distribution networks using a guided evolutionary approach.” J. Water Resour. Plann. Manage., in press.
Morley, M., and Tricarico, C. (2015). “Hybrid evolutionary optimization/heuristic technique for water system expansion & operation.” J. Water Resour. Plann. Manage., in press.
Morley, M. S., and Tricarico, C. (2014). “A comparison of population-based optimization techniques for water distribution system expansion and operation.” Procedia Eng., 89, 13–20.
Muranho, J., Ferreira, A., Sousa, J., Gomes, A., and Sá Marques, A. (2012). “WaterNetGen—An EPANET extension for automatic water distribution network models generation and pipe sizing.” Water Sci. Technol.: Water Supply, 12,117–123.
Ostfeld, A., et al. (2008). “The battle of the water sensor networks: A design challenge for engineers and algorithms.” J. Water Resour. Plann. Manage., 556–568.
Ostfeld, A., et al. (2012). “The battle of the water calibration networks (BWCN).” J. Water Res. Plann. Manage., 523–532.
Price, E., and Ostfeld, A. (2014). “Battle of background leakage assessment for water networks using successive linear programming.” Procedia Eng., 89, 45–52.
Price, E., and Ostfeld, A. (2015). “Successive linear programming approach applied to BBLAWN.” J. Water Resour. Plann. Manage., C4015001.
Rahmani, F., and Behzadian, K. (2014). “Sequential multi-objective evolutionary algorithm for a real-world water distribution system design.” Procedia Eng., 89, 95–102.
Rahmani, F., Behzadian, K., and Ardeshir, A. (2015). “Rehabilitation of an idealized water distribution system using sequential multi-objective optimization models.” J. Water Resour. Plann. Manage., in press.
Roshani, E., and Filion, Y. (2014). “WDS leakage management through pressure control and pipes rehabilitation using an optimization approach.” Procedia Eng., 89, 21–28.
Rossman, L. A. (2000). EPANET2 user’s manual, U.S. EPA, Washington, DC.
Saldarriaga, J., et al. (2014). “An energy based methodology applied to C-rtown.” Procedia Eng., 89, 78–86.
Saldarriaga, J., et al. (2015). “Rehabilitation and leakage reduction on c-town using hydraulic criteria.” J. Water Resour. Plann. Manage., in press.
Shafiee, M. E., Berglund, A., Zechman Berglund, E., Downey brill, E., Jr., and Mahinthakumara, G. (2014). “evolutionary computation-based decision-making framework for designing water networks to minimize background leakage.” Procedia Eng., 89, 118–125.
Shafiee, M. E., Berglund, A., Zechman Berglund, E., Downey Brill, E., Jr., and Mahinthakumar, G. (2015). “Parallel evolutionary algorithm for designing water distribution networks to minimize background leakage.” J. Water Resour. Plann. Manage., in press.
Sousa, J., Muranho, J., Sá Marques, A., and Gomes, R. (2014). “WaterNetGen helps C-town.” Procedia Eng., 89, 103–110.
Sousa, J., Muranho, J., Sá Marques, A., and Gomes, R. (2015). “Optimal management of water distribution networks with simulated annealing—The C-town problem.” J. Water Resour. Plann. Manage., in press.
Tolson, B. A., and Khedr, A. (2014). “Battle of background leakage assessment for water networks (BBLAWN): An incremental savings approach.” Procedia Eng., 89, 69–77.
Vassiljev, A., Koppel, T., and Puust, R. (2014). “Background leakage assessment for BBLAWN.” Procedia Eng., 89, 111–117.
Vassiljev, A., and Puust, R. (2015). “Decreasing leakage and operational cost for BBLAWN.” J. Water Resour. Plann. Manage., in press.
Walski, T., et al. (1987). “Battle of the network models: Epilogue.” J. Water Resour. Plann. Manage., 191–203.
WDSA (Water Distribution Systems Analysis). (2014). “BBLAWN (battle of background leakage assessment for water networks).” 〈http://www.water-system.org/wdsa2014/index155a.html?q=content/battle-water-networks〉 (Jul. 21, 2015).
Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 142 • Issue 5 • May 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Feb 3, 2015
Accepted: Jun 25, 2015
Published online: Aug 27, 2015
Discussion open until: Jan 27, 2016
Published in print: May 1, 2016
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.