Multistep Approach for Optimizing Design and Operation of the C-Town Pipe Network Model
Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 5
Abstract
A multiobjective approach is used here to optimize design and operation of the C-Town pipe network, searching for trade-off solutions between (1) installation cost, (2) operational cost, and (3) cost of the pressure-reducing valves. Due to the large number of decisional variables and to the complexity of the constraints considered, the optimization problem was tackled in five steps: (1) identification of some feasible (on the basis of the many constraints) first attempt solutions; (2) application of a multiobjective genetic algorithm to the 2D optimization problem with objective functions 1 and 2, in order to obtain optimal trade-off solutions between the installation cost and operational cost, without considering the installation of pressure-reducing valves; (3) application of the multiobjective genetic algorithm to the optimization problem with objective functions 2 and 3 for each of the solution selected at the end of Step 2, in order to assess how the operational cost can decrease thanks to the installation and operation of pressure-reducing valves; (4) derivation of the 3D Pareto surface by grouping the solutions found at the end of Steps (2) and (3). A solution was extracted from the 3D Pareto surface of optimal solutions following some specific criteria. This solution was then further refined (Step 5) in order to allow for variable settings of the pressure-reducing valves installed and to make it compliant with the battle guidelines concerning leakage modeling.
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Acknowledgments
This study was carried out as part of the PRIN 2012 project, by the title of “Tools and procedures for an advanced and sustainable management of water distribution systems”, and under the framework of Terra&Acqua Tech Laboratory, Axis I activity 1.1 of the POR FESR 2007–2013 project funded by Emilia-Romagna Regional Council (Italy) (http://fesr.regione.emilia-romagna.it/allegati/comunicazione/la-brochure-dei-tecnopoli).
References
Alperovits, E., and Shamir, U. (1977). “Design of optimal water distribution systems.” Water Resour. Res., 13(6), 885–900.
Alvisi, S., and Franchini, M. (2006). “Near optimal rehabilitation scheduling of water distribution systems based on a multiobjective genetic algorithm.” Civ. Eng. Environ. Syst., 23(3), 143–160.
Alvisi, S., and Franchini, M. (2009). “Multiobjective optimization of rehabilitation and leakage detection scheduling in water distribution systems.” J. Water Resour. Plann. Manage., 426–439.
Alvisi, S., and Franchini, M. (2013). “A heuristic procedure for the automatic creation of district metered areas in water distribution systems.” Urban Water J., 11(2), 137–159.
Alvisi, S., and Franchini, M. (2014). “Water distribution systems: Using linearized hydraulic equations within the framework of ranking-based optimization algorithms to improve their computational efficiency.” Environ. Modell. Software, 57, 33–39.
Arulraj, G. P., and Rao, H. S. (1995). “Concept of significance index for maintenance and design of pipe networks.” J. Hydraul. Eng., 833–837.
Campisano, A., Creaco, E., and Modica, C. (2010). “RTC of valves for leakage reduction in water supply networks.” J. Water Resour. Plann. Manage., 138–141.
Creaco, E., Alvisi, S., and Franchini, M. (2014a). “A multi-step approach for optimal design and management of the C-Town pipe network model.” Procedia Eng., 89, 37–44.
Creaco, E., and Franchini, M. (2012). “Fast network multi-objective design algorithm combined with an a posteriori procedure for reliability evaluation under various operational scenarios.” Urban Water J., 9(6), 385–399.
Creaco, E., and Franchini, M. (2013). “A new algorithm for the real time pressure control in water distribution networks.” Water Sci. Technol. Water Supply, 13(4), 875–882.
Creaco, E., Franchini, M., and Walski, T. M. (2014b). “Accounting for phasing of construction within the design of water distribution networks.” J. Water Resour. Plann. Manage., 598–606.
Creaco, E., and Pezzinga, G. (2014). “Embedding linear programming in multi objective genetic algorithms for reducing the size of the search space with application to leakage minimization in water distribution networks.” Environ. Modell. Software, 69, 308–318.
Creaco, E., and Pezzinga, G. (2015). “Multi-objective optimization of pipe replacements and control valve installations for leakage attenuation in water distribution networks.” J. Water Resour. Plann. Manage., 04014059-1–04014059-10.
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.
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., Berardi, L., Laucelli, D., Savic, D., and Kapelan, Z. (2015). “Operational and tactical management of water and energy resources in pressurized systems: The competition at WDSA 2014.” J. Water Resour. Plann. Manage., C4015002.
Jowitt, P. W., and Xu, C. (1990). “Optimal valve control in water distribution networks.” J. Water Resour. Plann. Manage., 455–472.
MATLAB v R2011b [Computer software]. Natick, MA, MathWorks.
Ormsbee, L. E. and Lansey, K. E. (1994). “Optimal control of water supply pumping systems.” J. Water Resour. Plann. Manage., 237–252.
Quimpo, R. G., and Shamsi, U. M. (1991). “Reliability-based distribution system maintenance.” J. Water Resour. Plann. Manage., 321–339.
Rossman, L. A. (2000). “EPANET 2 users manual.” U.S. EPA, Cincinnati, OH.
Simpson, A. R., Dandy, G. C., and Murphy, L. J. (1994). “Genetic algorithms compared to other techniques for pipe optimization.” J. Water Resour. Plann. Manage., 423–443.
Tucciarelli, T., Criminisi, A., and Termini, D. (1999). “Leak analysis in pipeline system by means of optimal value regulation.” J. Hydraul. Eng., 277–285.
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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 2, 2015
Accepted: Jul 9, 2015
Published online: Sep 10, 2015
Discussion open until: Feb 10, 2016
Published in print: May 1, 2016
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