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MARTON, D.; KAPELAN, Z.
Original Title
Risk and Reliability Analysis of Open Reservoir Water Shortages Using Optimization
English Title
Type
Paper in proceedings (conference paper)
Original 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.
English abstract
Keywords
Risk; reliability; water resources; open reservoir; reservoir operation; genetic algorithm; Non-Dominated Shorting Genetic Algorithm; NSGA II; water demand; water shortage
Key words in English
Authors
RIV year
2017
Released
17.12.2014
Publisher
Elsevier
Location
Amsterdam
Book
16th Water Distribution System Analysis Conference, WDSA2014 Urban Water Hydroinformatics and Strategic Planning
Edition
Procedia Engineering
ISBN
1877-7058
Periodical
Volume
89
Number
1
State
United Kingdom of Great Britain and Northern Ireland
Pages from
1478
Pages to
1485
Pages count
8
URL
http://www.sciencedirect.com/science/article/pii/S187770581402548X
Full text in the Digital Library
http://hdl.handle.net/11012/194745
BibTex
@inproceedings{BUT111389, author="Daniel {Marton} and Zoran {Kapelan}", title="Risk and Reliability Analysis of Open Reservoir Water Shortages Using Optimization", booktitle="16th Water Distribution System Analysis Conference, WDSA2014 Urban Water Hydroinformatics and Strategic Planning", year="2014", series="Procedia Engineering", journal="Procedia Engineering", volume="89", number="1", pages="1478--1485", publisher="Elsevier", address="Amsterdam", doi="10.1016/j.proeng.2014.11.433", url="http://www.sciencedirect.com/science/article/pii/S187770581402548X" }