Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikačního výsledku
MARTON, D.; KAPELAN, Z.
Originální název
Risk and Reliability Analysis of Open Reservoir Water Shortages Using Optimization
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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.
Anglický abstrakt
Klíčová slova
Risk; reliability; water resources; open reservoir; reservoir operation; genetic algorithm; Non-Dominated Shorting Genetic Algorithm; NSGA II; water demand; water shortage
Klíčová slova v angličtině
Autoři
Rok RIV
2017
Vydáno
17.12.2014
Nakladatel
Elsevier
Místo
Amsterdam
Kniha
16th Water Distribution System Analysis Conference, WDSA2014 Urban Water Hydroinformatics and Strategic Planning
Edice
Procedia Engineering
ISSN
1877-7058
Periodikum
Svazek
89
Číslo
1
Stát
Spojené království Velké Británie a Severního Irska
Strany od
1478
Strany do
1485
Strany počet
8
URL
http://www.sciencedirect.com/science/article/pii/S187770581402548X
Plný text v Digitální knihovně
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" }
Dokumenty
1-s2.0-S187770581402548X-main