Abstract
The Robust Optimization (RO) methodology (Ben-Tal et al., 2009) is applied to optimize the operation of a water supply system (WSS) which supplies water from aquifers with uncertain recharge and desalination plants through a network to consumers. The objective is to minimize the total cost of multiyear operation while satisfying operational and physical constraints. The RO methodology optimizes the uncertain problem by requesting that the uncertain parameters reside within a user-defined uncertainty set. The static ("here and now") version of RO is called Robust Counterpart (RC), in which the original problem is converted into a deterministic equivalent problem. A generic RC model for optimal operation of a WSS is developed and demonstrated. The policies obtained by the RO methodology, each requiring a different reliability, are compared with other decision making approaches.
| Original language | American English |
|---|---|
| Title of host publication | World Environmental and Water Resources Congress 2011 |
| Subtitle of host publication | Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress |
| Pages | 3075-3085 |
| Number of pages | 11 |
| DOIs | |
| State | Published - 2011 |
| Event | World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Palm Springs, CA, United States Duration: 22 May 2011 → 26 May 2011 |
Publication series
| Name | World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress |
|---|
Conference
| Conference | World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability |
|---|---|
| Country/Territory | United States |
| City | Palm Springs, CA |
| Period | 22/05/11 → 26/05/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
Keywords
- Decision making
- Uncertainty principles
- Water supply
All Science Journal Classification (ASJC) codes
- General Environmental Science
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