Technical Papers
Jul 10, 2014

Using Real Options in the Optimal Design of Water Distribution Networks

Publication: Journal of Water Resources Planning and Management
Volume 141, Issue 2

Abstract

Water supply systems have to satisfy water needs in terms of quantity and quality. The constant changes in urban areas require the regular adaptation of the water supply infrastructure to meet new circumstances. However, decisions to design and operate water networks have to be taken under uncertainty. Flexibility is thus the key to more robust and confident decisions. An approach called real options (ROs) can be used in these situations. This approach makes it possible to use adaptive strategies in the decision process. Some decisions can be delayed pending future conditions. Water distribution systems are very costly and complex infrastructures. Once built, their operating structure cannot be changed significantly. This work presents an innovative ROs approach to define an objective function to cope with some future scenarios in a specific case study. The objective of our proposed model is to find a minimum cost solution for the first period of a planning horizon, while considering various possible future conditions that the network could have to cope with. The results of this work show that building flexibility into the decision strategy makes it possible to take an adaptive approach that can avert future lack of network capacity. In the case study, an adaptive design of the network incurs an extra initial cost, but this cost can easily be lower than the cost of reinforcing the network in a longer planning horizon. The real value of ROs is their ability to adapt systems to different possible future scenarios.

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Acknowledgments

This work has been financed by Fundo Europeu de Desenvolvimento Regional (FEDER) funds through the Programa Operacional Factores de Competitividade (COMPETE), and by national funds from Fundação para a Ciência e Tecnologia (FCT) under grant PTDC/ECM/64821/2006. The participation of the first author in the study is supported by FCT through grant SFRH/BD/47602/2008.

References

Aarts, E., and Korst, J. (1989). “Simulated annealing and Boltzmann machines: A stochastic approach to combinatorial optimization and neural computing.” Wiley, New York.
Afonso, P. M., and Cunha, M. C. (2007). “Robust optimal design of activated sludge bioreactors.” J. Environ. Eng., 44–52.
Black, F., and Scholes, M. (1973). “The pricing of options and corporate liabilities.” J. Political Econ., 81(3), 637–654.
Buurman, J., Zhang, S., and Babovic, V. (2009). “Reducing risk through real options in systems design: The case of architecting a maritime domain protection system.” Risk Anal., 29(3), 366–379.
Costa, A., Cunha, M., Coelho, P., and Einstein, H. (2013). “Solving high-speed rail planning with the simulated annealing algorithm.” J. Transp. Eng., 635–642.
Cunha, M. C. (1999). “On solving aquifer management problems with simulated annealing algorithms.” Water Resour. Manage., 13(3), 153–170.
Cunha, M. C., and Sousa, J. (1999). “Water distribution network design optimization: Simulated annealing approach.” J. Water Resour. Plann. Manage., 215–221.
Detroit Water and Sewerage Department (DWSD). (2004). “Comprehensive water master plan.” Final Rep., Task C: Rehabilitation and Replacement Program, Detroit, MI, 133.
Haimes, Y. Y. (1998). “Sustainable operation of threatened infrastructures.” J. Infrastruct. Syst., 1–4.
He, H., and Pindyck, R. S. (1992). “Investments in flexible production capacity.” J. Econ. Dyn. Control, 16(3–4), 575–599.
Huang, D., Vairavamoorthy, K., and Tsegaye, S. (2010). “Flexible design of urban water distribution networks.” World Environmental and Water Resources Congress, ASCE, Reston, VA, 4225–4236.
Merton, R. C. (1973). “Theory of rational option pricing.” Bell J. Econ. Manage. Sci., 4(1), 141–183.
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., and Teller, E. (1953). “Equation of state calculations by fast computing machines.” J. Chem. Phys., 21(6), 1087–1092.
Myers, S. C. (1977). “Determinants of corporate borrowing.” J. Financ. Econ., 5(2), 147–175.
Nembhard, H. B., and Aktan, M., (2010). Real options in engineering design, operations, and management, CRC Press, 253.
Neufville, R., Scholtes, S., and Wang, T. (2006). “Real options by spreadsheet: Parking garage case example.” J. Infrastruct. Syst., 107–111.
Paddock, J. L., Siegel, D. R., and Smith, J. L. (1988). “Option valuation of claims on real assets: The case of offshore petroleum leases.” Q. J. Econ., 103(3), 479–508.
Roberts, K., and Weitzman, M. L. (1981). “Funding criteria for research, development, and exploration projects.” Econometrica, 49(5), 1261–1288.
Rossman, L. A. (2000). Epanet2 users manual, U.S. EPA, Cincinnati, OH.
Suttinon, P., and Nasu, S. (2010). “Real options for increasing value in industrial water infrastructure.” Water Resour. Manage., 24(12), 2881–2892.
Taher, S. A., and Labadie, J. W. (1996). “Optimal design of water-distribution networks with GIS.” J. Water Resour. Plann. Manage., 301–311.
Tannous, G. F. (1996). “Capital budgeting for volume flexible equipment.” Decis. Sciences, 27(2), 157–184.
Wang, T., and Neufville, R. D. (2004). “Building real options into physical systems with stochastic mixed-integer programming.” 8th Annual Real Options Int. Conf., Montreal, Canada, 23–32.
Woodward, M., Gouldby, B., Kapelan, Z., Khu, S.-T., and Townend, I. (2011). “Real options in flood risk management decision making.” J. Flood Risk Manage., 4(4), 339–349.
Wu, W., Simpson, A. R., and Maier, H. R. (2010). “Accounting for greenhouse gas emissions in multiobjective genetic algorithm optimization of water distribution systems.” J. Water Resour. Plann. Manage., 146–155.
Zeferino, J. A., Cunha, M. C., and Antunes, A. P. (2012). “Robust optimization approach to regional wastewater system planning.” J. Environ. Manage., 109, 113–122.
Zhang, S. X., and Babovic, V. (2011). “An evolutionary real options framework for the design and management of projects and systems with complex real options and exercising conditions.” Decis. Support Syst., 51(1), 119–129.
Zhang, S. X., and Babovic, V. (2012). “A real options approach to the design and architecture of water supply systems using innovative water technologies under uncertainty.” J. Hydroinf., 14(1), 13–29.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 141Issue 2February 2015

History

Received: Mar 27, 2013
Accepted: Feb 28, 2014
Published online: Jul 10, 2014
Discussion open until: Dec 10, 2014
Published in print: Feb 1, 2015

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Authors

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João Marques [email protected]
Assistant Researcher, Departamento de Engenharia Civil, Faculdade de Ciências e Tecnologia da Universidade de Coimbra, 3030-788 Coimbra, Portugal (corresponding author). E-mail: [email protected]
Maria Cunha [email protected]
Full Professor, Departamento de Engenharia Civil, Faculdade de Ciências e Tecnologia da Universidade de Coimbra, 3030-788 Coimbra, Portugal. E-mail: [email protected]
Dragan Savić [email protected]
Full Professor, Centre for Water Systems, School of Engineering, Computing and Mathematics, Univ. of Exeter, Exeter EX4 4QF, U.K. E-mail: [email protected]

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