4.8 Article

Valuing flexibilities in the design of urban water management systems

Journal

WATER RESEARCH
Volume 47, Issue 20, Pages 7162-7174

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2013.09.064

Keywords

Urban water management systems; Real options analysis; Engineering system design and evaluation

Funding

  1. National University of Singapore (NUS) Faculty Research Committee via MOE AcRF Tier 1 grant [WBS R-266-000-061-133]
  2. NUS Research Scholarship
  3. ISE department of NUS
  4. Singapore-Delft Water Alliance

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Climate change and rapid urbanization requires decision-makers to develop a long-term forward assessment on sustainable urban water management projects. This is further complicated by the difficulties of assessing sustainable designs and various design scenarios from an economic standpoint. A conventional valuation approach for urban water management projects, like Discounted Cash Flow (DCF) analysis, fails to incorporate uncertainties, such as amount of rainfall, unit cost of water, and other uncertainties associated with future changes in technological domains. Such approach also fails to include the value of flexibility, which enables managers to adapt and reconfigure systems over time as uncertainty unfolds. This work describes an integrated framework to value investments in urban water management systems under uncertainty. It also extends the conventional DCF analysis through explicit considerations of flexibility in systems design and management. The approach incorporates flexibility as intelligent decision-making mechanisms that enable systems to avoid future downside risks and increase opportunities for upside gains over a range of possible futures. A water catchment area in Singapore was chosen to assess the value of a flexible extension of standard drainage canals and a flexible deployment of a novel water catchment technology based on green roofs and porous pavements. Results show that integrating uncertainty and flexibility explicitly into the decision-making process can reduce initial capital expenditure, improve value for investment, and enable decision-makers to learn more about system requirements during the lifetime of the project. (C) 2013 Elsevier Ltd. All rights reserved.

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