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Control of Pumps of Water Supply Network under Hydraulic and Energy Optimisation Using Artificial Intelligence
This article presents several algorithms for controlling water supply system pumps. The aim of having control is the hydraulic optimisation of the network, i.e., ensuring the desired pressure in its recipient nodes, and minimising energy costs of network operation. These two tasks belong to the key...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597088/ https://www.ncbi.nlm.nih.gov/pubmed/33286783 http://dx.doi.org/10.3390/e22091014 |
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author | Studziński, Jan Ziółkowski, Andrzej |
author_facet | Studziński, Jan Ziółkowski, Andrzej |
author_sort | Studziński, Jan |
collection | PubMed |
description | This article presents several algorithms for controlling water supply system pumps. The aim of having control is the hydraulic optimisation of the network, i.e., ensuring the desired pressure in its recipient nodes, and minimising energy costs of network operation. These two tasks belong to the key issues related to the management and operation of water supply networks, apart from the reduction in water losses caused by network failures and ensuring proper water quality. The presented algorithms have been implemented in an Information and Communications Technology (ICT) system developed at the Systems Research Institute of the Polish Academy of Sciences (IBS PAN) and implemented in the waterworks GPW S.A. in Katowice/Poland. |
format | Online Article Text |
id | pubmed-7597088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75970882020-11-09 Control of Pumps of Water Supply Network under Hydraulic and Energy Optimisation Using Artificial Intelligence Studziński, Jan Ziółkowski, Andrzej Entropy (Basel) Article This article presents several algorithms for controlling water supply system pumps. The aim of having control is the hydraulic optimisation of the network, i.e., ensuring the desired pressure in its recipient nodes, and minimising energy costs of network operation. These two tasks belong to the key issues related to the management and operation of water supply networks, apart from the reduction in water losses caused by network failures and ensuring proper water quality. The presented algorithms have been implemented in an Information and Communications Technology (ICT) system developed at the Systems Research Institute of the Polish Academy of Sciences (IBS PAN) and implemented in the waterworks GPW S.A. in Katowice/Poland. MDPI 2020-09-11 /pmc/articles/PMC7597088/ /pubmed/33286783 http://dx.doi.org/10.3390/e22091014 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Studziński, Jan Ziółkowski, Andrzej Control of Pumps of Water Supply Network under Hydraulic and Energy Optimisation Using Artificial Intelligence |
title | Control of Pumps of Water Supply Network under Hydraulic and Energy Optimisation Using Artificial Intelligence |
title_full | Control of Pumps of Water Supply Network under Hydraulic and Energy Optimisation Using Artificial Intelligence |
title_fullStr | Control of Pumps of Water Supply Network under Hydraulic and Energy Optimisation Using Artificial Intelligence |
title_full_unstemmed | Control of Pumps of Water Supply Network under Hydraulic and Energy Optimisation Using Artificial Intelligence |
title_short | Control of Pumps of Water Supply Network under Hydraulic and Energy Optimisation Using Artificial Intelligence |
title_sort | control of pumps of water supply network under hydraulic and energy optimisation using artificial intelligence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597088/ https://www.ncbi.nlm.nih.gov/pubmed/33286783 http://dx.doi.org/10.3390/e22091014 |
work_keys_str_mv | AT studzinskijan controlofpumpsofwatersupplynetworkunderhydraulicandenergyoptimisationusingartificialintelligence AT ziołkowskiandrzej controlofpumpsofwatersupplynetworkunderhydraulicandenergyoptimisationusingartificialintelligence |