Risk and Reliability Analysis of Open Reservoir Water Shortages Using Optimization
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Date
2014-12-17
Authors
Marton, Daniel
Kapelan, Zoran
ORCID
0000-0003-1073-5636Advisor
Referee
Mark
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Volume Title
Publisher
Elsevier
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Abstract
The goal of this paper was to describe how to find optimal relations between water shortage and hydropower energy based on Risk and Reliability methods. Reservoir simulation model including water losses as well as risk (reliability) model of water demand has been built up. Using NSGA II optimization method the optimization of reservoir operation has been done. For problem solving was used Multi-Objective Optimization. This approach has been applied to a real-life water reservoir called Vir 1 in the Czech Republic. Results were presented in the form of Pareto curves and data sets of reservoir outflows.
The goal of this paper was to describe how to find optimal relations between water shortage and hydropower energy based on Risk and Reliability methods. Reservoir simulation model including water losses as well as risk (reliability) model of water demand has been built up. Using NSGA II optimization method the optimization of reservoir operation has been done. For problem solving was used Multi-Objective Optimization. This approach has been applied to a real-life water reservoir called Vir 1 in the Czech Republic. Results were presented in the form of Pareto curves and data sets of reservoir outflows.
The goal of this paper was to describe how to find optimal relations between water shortage and hydropower energy based on Risk and Reliability methods. Reservoir simulation model including water losses as well as risk (reliability) model of water demand has been built up. Using NSGA II optimization method the optimization of reservoir operation has been done. For problem solving was used Multi-Objective Optimization. This approach has been applied to a real-life water reservoir called Vir 1 in the Czech Republic. Results were presented in the form of Pareto curves and data sets of reservoir outflows.
Description
Keywords
Risk, reliability, water resources, open reservoir, reservoir operation, genetic algorithm, Non-Dominated Shorting Genetic Algorithm, NSGA II, water demand, water shortage, Risk, reliability, water resources, open reservoir, reservoir operation, genetic algorithm, Non-Dominated Shorting Genetic Algorithm, NSGA II, water demand, water shortage
Citation
Procedia Engineering. 2014, vol. 89, issue 1, p. 1478-1485.
http://www.sciencedirect.com/science/article/pii/S187770581402548X
http://www.sciencedirect.com/science/article/pii/S187770581402548X
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Peer-reviewed
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en
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Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported
http://creativecommons.org/licenses/by-nc-nd/3.0/
http://creativecommons.org/licenses/by-nc-nd/3.0/