Abstract
This paper demonstrates how to make investment decisions that optimally improve water supply resilience, taking into consideration both future uncertainty and management flexibility. The demonstration is done by evaluating investment strategies for a 38 Ml/d water treatment plant serving an urban area with approximately 75 000 inhabitants, where there is uncertainty with respect to future population growth, industrial production, external demand and the amount of rainfall due to climate change. It is shown that the quantification and comparison of the possible reductions in service and intervention costs over comparably long periods enables the optimal investment decisions-that is, the ones with the optimal trade-offs between stakeholders. Additionally, it can be seen that the used methodology enables the consistent and transparent consideration of (a) the concerns of multiple stakeholders, (b) the future deep uncertainty associated with key concerns and (c) the flexibility of infrastructure managers to make decisions in the future using new information. The methodology also ensures that managers have clear plans of action and considerable insight into the extent of required future financing.
Original language | English (US) |
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Pages (from-to) | 104-115 |
Number of pages | 12 |
Journal | Proceedings of the Institution of Civil Engineers: Smart Infrastructure and Construction |
Volume | 175 |
Issue number | 3 |
DOIs | |
State | Published - Dec 24 2021 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Information Systems
- Civil and Structural Engineering
Keywords
- Climate change
- Infrastructure planning
- Municipal & public service engineering
- Natural resources
- Risk & probability analysis
- Water supply