New Considerations for a Reservoir Capacity Optimizer That Accounts for Failure Risks
Publication: Journal of Water Resources Planning and Management
Volume 146, Issue 5
Abstract
In this technical note, new considerations and modifications are introduced to a recent design optimization model, developed by the first author, that is able to find the optimal active capacity for a water supply reservoir admitting a predefined minimum number of failure periods, a maximum failure magnitude, or both. It is shown that this model actually finds the best capacity to implement; however, to keep failure indexes within accept limits, the reservoir should also be operated optimally. A simulation-optimization approach is then formulated to find the best capacity even if the reservoir is to be operated by the standard operation policy (SOP), as in typical design procedures that take failure probabilities into account. Applications of both current and modified strategies are carried out and their results compared and commented on.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
The corresponding author acknowledges the Fulbright Commission for granting him a Fulbright Visiting Professor award for a research stay at the Ven Te Chow Hydrosystems Laboratory, University of Illinois at Urbana-Champaign (United States).
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©2020 American Society of Civil Engineers.
History
Received: Apr 13, 2019
Accepted: Nov 15, 2019
Published online: Feb 28, 2020
Published in print: May 1, 2020
Discussion open until: Jul 28, 2020
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