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Simulation-Optimization Tool for Multiattribute Reservoir Systems
Stockholm University, Faculty of Science, Department of Physical Geography.
Number of Authors: 22019 (English)In: Journal of hydrologic engineering, ISSN 1084-0699, E-ISSN 1943-5584, Vol. 24, no 9, article id 04019028Article in journal (Refereed) Published
Abstract [en]

Reservoirs, as the largest water systems for controlling water and supply demands, have been particularly important due to their operational requirements. Applying practical tools to evaluate the performance of reservoir systems plays a key role in their effective operational management. This study focused on developing a simulation-optimization tool for the design and operation of multiattribute reservoir systems (SOMAR), which includes four parts: input data, simulation, optimization, and output results. Its different components can be selectively activated for each problem. SOMAR can use both standard operation policy or given rule curves for reservoir system simulation in accordance with the user's preference. It applies a comprehensive evolutionary algorithm for optimization. In this study, SOMAR was validated in seven types of reservoir system problems, including simulations based on (1) standard operation policy, (2) given rule curves, (3) design optimization, (4) long-term operation optimization, (5) design and long-term operation optimization, (6) rule curve optimization, and (7) design and rule curve optimization. The validations indicated the capabilities of SOMAR in analyzing reservoir systems with high reliability of the final results by considering different aspects of these systems.

Place, publisher, year, edition, pages
2019. Vol. 24, no 9, article id 04019028
Keywords [en]
Multiattribute, Optimization, Reservoir systems, Simulation, Simulation-optimization tool for the design and operation of multiattribute reservoir systems (SOMAR)
National Category
Civil Engineering Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-171947DOI: 10.1061/(ASCE)HE.1943-5584.0001817ISI: 000475473500009OAI: oai:DiVA.org:su-171947DiVA, id: diva2:1348698
Available from: 2019-09-05 Created: 2019-09-05 Last updated: 2019-09-05Bibliographically approved

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Seifollahi-Aghmiuni, Samaneh
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CiteExportLink to record
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  • de-DE
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