An Integrated Approach to Optimizing the Energy Efficiency of Water Supply—The Way to Achieve Effective Management

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F26%3A0201673" target="_blank" >RIV/00216305:26110/26:0201673 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2673-4591/69/1/212" target="_blank" >https://www.mdpi.com/2673-4591/69/1/212</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/engproc2024069212" target="_blank" >10.3390/engproc2024069212</a>

Result language
angličtina
Original language name
An Integrated Approach to Optimizing the Energy Efficiency of Water Supply—The Way to Achieve Effective Management
Original language description
Escalating energy costs in recent years have spurred an examination of energy cost reduction strategies. Among these, exploring spot markets and building photovoltaic power plants at water facilities have emerged as promising options. This study focuses on the utilization of genetic algorithms to optimize pumping operations. Through simulations and case studies on small and medium-sized water distribution networks in the Czech Republic, the effectiveness of genetic algorithms at reducing operational costs is demonstrated. The integration of neural networks for predictive modeling and real-time decision-making complements the genetic algorithm approach, promising significant operational savings amid evolving energy market dynamics.
Czech name
—
Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20102 - Construction engineering, Municipal and structural engineering

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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