Detail publikace

Risk and Reliability Analysis of Open Reservoir Water Shortages Using Optimization

MARTON, D. KAPELAN, Z.

Originální název

Risk and Reliability Analysis of Open Reservoir Water Shortages Using Optimization

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

Risk; reliability; water resources; open reservoir; reservoir operation; genetic algorithm; Non-Dominated Shorting Genetic Algorithm; NSGA II; water demand; water shortage

Autoři

MARTON, D.; KAPELAN, Z.

Rok RIV

2014

Vydáno

17. 12. 2014

Nakladatel

Elsevier

Místo

Amsterdam

ISSN

1877-7058

Periodikum

Procedia Engineering

Ročník

89

Číslo

1

Stát

Nizozemsko

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",
  issn="1877-7058",
  url="http://www.sciencedirect.com/science/article/pii/S187770581402548X"
}