Optimization of Water Distribution Networks for Combined Hydropower Energy Recovery and Leakage Reduction
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VIEW THE REPLYPublication: Journal of Water Resources Planning and Management
Volume 142, Issue 2
Abstract
Water supply is energy intensive, resulting in large amounts of greenhouse gas emissions and increased electricity bills for water service providers (WSPs). In recent years, the incorporation of microhydropower (MHP) turbines within water supply networks (WSN) has been shown to be a viable option for pressure reduction and improved water supply sustainability. An option for optimal pressure management of a WSN is presented through the installation of MHP turbines. The optimization objective was to find optimal locations in a WSN to install turbines for maximized power generation. For comparison, a nonlinear programming approach, a mixed integer nonlinear programming (MINLP) approach, and an evolutionary optimization approach, using a genetic algorithm, were employed. The performance and suitability of each method was initially demonstrated on a theoretical five-node WSN. MINLP was found to be the most suitable technique. Further analyses were undertaken of a benchmark 25-node network. It was recommended that WSPs adopt this hydropower optimization approach in the decision-making process to reduce carbon footprint, increase revenue, and reduce the operational costs of water supply.
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Acknowledgments
This research was part funded by the European Regional Development Fund (ERDF) through the Ireland–Wales Programme 2007-2013 (INTERREG 4A).
References
Araujo, L. S., Ramos, H., and Coelho, S. T. (2006). “Pressure control for leakage minimization in water distribution systems management.” Water Resour. Manage., 20(1), 133–149.
Barán, B. N., Von Lücken, C., and Sotelo, A. (2005). “Multi-objective pump scheduling optimisation using evolutionary strategies.” Adv. Eng. Software, 36(1), 39–47.
Bonami, P., et al. (2008). “An algorithmic framework for convex mixed integer nonlinear programs.” Discrete Optim., 5(2), 186–204.
Bonami, P., and Lee, J. (2007). BONMIN users’ manual, 〈https://projects.coin-or.org/Bonmin/browser/stable/0.1/Bonmin/doc/〉.
Bragalli, C., D’Ambrosio, C., Lee, J., Lodi, A., and Toth, P. (2012). “On the optimal design of water distribution networks: A practival MINLP approach.” Optim. Eng., 13(2), 219–246.
Carravetta, A., Del Giudice, G., Fecarotta, O., and Ramos, H. M. (2012). “Energy production in water distribution networks: A PAT design strategy.” Water Resour. Manage., 26(13), 3947–3959.
Carravetta, A., Del Giudice, G., Fecarotta, O., and Ramos, H. M. (2013). “Pump as turbine (PAT) design in water distribution network by system effectiveness.” Water, 5(3), 1211–1225.
Carravetta, A., Fecarotta, O., Sinagra, M., and Tucciarelli, T. (2014). “Cost-benefit analysis for hydropower production in water distribution networks by a pump as turbine.” J. Water Resour. Plann. Manage., 04014002.
Corcoran, L., Coughlan, P., and McNabola, A. (2013). “Energy recovery potential using micro hydropower in water supply networks in the U.K. and Ireland.” Water Sci. Technol.: Water Supply, 13(2), 552–560.
Corcoran, L., Coughlan, P., and McNabola, A. (2014). “Optimisation of water supply for combined leakage reduction and hydropower energy generation.” IWA World Water Congress and Exhibition, Lisbon, 1–8.
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.
Eck, B., and Mevissen, M. (2012). “Valve placement in water networks: Mixed-integer non-linear optimization with quadratic pipe friction.”.
Eurostat. (2014). “Electricity prices for industrial consumers (EUR per kWh).” 〈http://epp.eurostat.ec.europa.eu/〉.
Fecarotta, O., Arico, C., Carravetta, A., Martino, R., and Ramos, H. M. (2015). “Hydropower potential in water distribution networks: Pressure control by PATs.” Water Resour. Manage., 29(3), 699–714.
Fontana, N., Giugni, M., and Portolano, D. (2012). “Losses reduction and energy production water-distribution networks.” J. Water Resour. Plann. Manage., 237–244.
Gallagher, J., Styles, D., McNabola, A., and Williams, A. P. (2015). “Life cycle environmental balance and greenhouse gas mitigation potential of micro-hydropower energy recovery in the water industry.” J. Cleaner Prod., 99, 152–159.
Germanopoulos, G. (1995). “Valve control regulation for reducing leakage.” Improving efficiency and reliability in water distribution systems, E. Cabrera and F. Vela, eds., Springer, Netherlands, 165–188.
Giugni, M., Fontana, N., and Portolano, D. (2009). “Energy saving policy in water distribution networks.” Int. Conf. on Renewable Energies and Power Quality (ICREPQ’14), Valencia, Spain.
Giugni, M., Fontana, N., and Ranucci, A. (2014). “Optimal location of PRVs and turbines in water distribution systems.” J. Water Resour. Plann. Manage., 06014004.
Gleixner, A., Held, H., Huang, W., and Vigerske, S. (2012). “Towards globally optimum operation of water supply networks.” Numer. Algebra Control Optim., 2(4), 695–711.
Gupta, I., Gupta, A., and Khanna, P. (1999). “Genetic algorithm for optimization of water distribution systems.” Environ. Modell. Software, 14(5), 437–446.
Jowitt, P. W., and Xu, C. (1990). “Optimal valve control in water-distribution networks.” J. Water Resour. Plann. Manage., 455–472.
MATLAB [Computer software]. Natick, MA, MathWorks.
McNabola, A., et al. (2014a). “Energy recovery in the water industry using micro-hydropower: An opportunity to improve sustainability.” Water Policy, 16(1), 168–183.
McNabola, A., Coughlan, P., and Williams, A. P. (2014b). “Energy recovery in the water industry: An assessment of the potential of micro hydropower.” Water Environ. J., 28(2), 294–304.
Nicolini, M., and Zovatto, L. (2009). “Optimal location and control of pressure reducing valves in water networks.” J. Water Resour. Plann. Manage., 178–187.
Olsson, G. (2012). Water and energy: Threats and opportunities, IWA Publishing, London.
Power, C., Coughlan, P., and McNabola, A. (2014). “Development of an evaluation method for hydropower energy recovery in wastewater treatment plants: Case studies in Ireland and the U.K.” Sustainable Energy Technol. Assess., 7, 166–177.
Ramos, H., and Borga, A. (1999). “Pumps as turbines: An unconventional solution to energy production.” Urban Water, 1(3), 261–263.
Ramos, H. M., Mello, M., and De, P. K. (2010). “Clean power in water supply systems as a sustainable solution: From planning to practical implementation.” Water Sci. Technol. Water Supply, 10(1), 39–49.
Savic, D., and Banyard, J. K. (2011). Water distribution systems, Thomas Telford, London.
Savic, D. A., and Walters, G. A. (1997). “Genetic algorithms for least-cost design of water distribution networks.” J. Water Resour. Plann. Manage., 67–77.
Sitzenfrei, R., and Rauch, W. (2015). “Optimizing small hydropower systems in water distribution systems based on long-time-series simulation and future scenarios.” J. Water Resour. Plann. Manage., 04015021.
Sterling, M., and Bargiela, A. (1984). “Leakage reduction by optimised control of valves in water networks.” Trans. Inst. Meas. Control, 6(6), 293–298.
Vairavamoorthy, K., and Lumbers, J. (1998). “Leakage reduction in water distribution systems: Optimal valve control.” J. Hydraul. Eng., 1146–1154.
Vieira, F., and Ramos, H. (2008). “Hybrid solution and pump-storage optimization in water supply system efficiency: A case study.” Energy Policy, 36(11), 4142–4148.
Vieira, F., and Ramos, H. (2009). “Optimization of operational planning for wind/hydro hybrid water supply systems.” Renewable Energy, 34(3), 928–936.
Wang, J.-Y., Chang, T. P., and Chen, J.-S. (2009). “An enhanced genetic algorithm for bi-objective pump scheduling in water supply.” Expert Syst. Appl., 36(7), 10249–10258.
Williams, A. (1996). “Pumps as turbines for low cost micro hydro power.” Renewable Energy, 9(1–4), 1227–1234.
Williams, A., Smith, N. P. A., Bird, C., and Howard, M. (1998). “Pumps as turbines and the induction motors as generators for energy recovery in water supply system.” Water Environ. J., 12(3), 175–178.
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© 2015 American Society of Civil Engineers.
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Received: Nov 3, 2014
Accepted: May 7, 2015
Published online: Jul 16, 2015
Discussion open until: Dec 16, 2015
Published in print: Feb 1, 2016
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