Energy recovery in water networks: numerical decision support tool for optimal site and selection of micro turbines
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/27564 |
Resumo: | Energy efficiency plays a large role in the sustainability effort of water utilities. In gravity-fed pipe networks that present excessive pressures, the installation of micro turbines or pumps-as-turbines for energy recovery can provide significant benefits. The main obstacles associated with this kind of solution include the high cost of implementation (equipment and installation) and the time-consuming task of searching for potential and feasible sites for the power plant implementation. In this work, a numerical methodology for the analysis of any water supply and distribution network in order to optimally locate sites for maximum energy recovery and to preliminarily select or design turbines is proposed and validated with a case study. The idea of this decision support tool is to facilitate the assessment of the potential for energy production in networks and encourage the implementation of this type of efficiency measure. The proposed approach consists of two main stages: (1) identification of potential sites for energy recovery through an optimization procedure and (2) selection of adequate types of turbine and preliminary feasibility analysis. |
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Energy recovery in water networks: numerical decision support tool for optimal site and selection of micro turbinesEnergy recoveryEPANETMicro hydro turbinesSite locationTurbine selectionWater supply and distributionEnergy efficiency plays a large role in the sustainability effort of water utilities. In gravity-fed pipe networks that present excessive pressures, the installation of micro turbines or pumps-as-turbines for energy recovery can provide significant benefits. The main obstacles associated with this kind of solution include the high cost of implementation (equipment and installation) and the time-consuming task of searching for potential and feasible sites for the power plant implementation. In this work, a numerical methodology for the analysis of any water supply and distribution network in order to optimally locate sites for maximum energy recovery and to preliminarily select or design turbines is proposed and validated with a case study. The idea of this decision support tool is to facilitate the assessment of the potential for energy production in networks and encourage the implementation of this type of efficiency measure. The proposed approach consists of two main stages: (1) identification of potential sites for energy recovery through an optimization procedure and (2) selection of adequate types of turbine and preliminary feasibility analysis.American Society of Civil Engineers2020-02-13T11:02:22Z2018-03-01T00:00:00Z2018-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/27564eng0733-949610.1061/(ASCE)WR.1943-5452.0000894Coelho, BernardeteAndrade-Campos, Antónioinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:53:21Zoai:ria.ua.pt:10773/27564Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:00:17.623358Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Energy recovery in water networks: numerical decision support tool for optimal site and selection of micro turbines |
title |
Energy recovery in water networks: numerical decision support tool for optimal site and selection of micro turbines |
spellingShingle |
Energy recovery in water networks: numerical decision support tool for optimal site and selection of micro turbines Coelho, Bernardete Energy recovery EPANET Micro hydro turbines Site location Turbine selection Water supply and distribution |
title_short |
Energy recovery in water networks: numerical decision support tool for optimal site and selection of micro turbines |
title_full |
Energy recovery in water networks: numerical decision support tool for optimal site and selection of micro turbines |
title_fullStr |
Energy recovery in water networks: numerical decision support tool for optimal site and selection of micro turbines |
title_full_unstemmed |
Energy recovery in water networks: numerical decision support tool for optimal site and selection of micro turbines |
title_sort |
Energy recovery in water networks: numerical decision support tool for optimal site and selection of micro turbines |
author |
Coelho, Bernardete |
author_facet |
Coelho, Bernardete Andrade-Campos, António |
author_role |
author |
author2 |
Andrade-Campos, António |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Coelho, Bernardete Andrade-Campos, António |
dc.subject.por.fl_str_mv |
Energy recovery EPANET Micro hydro turbines Site location Turbine selection Water supply and distribution |
topic |
Energy recovery EPANET Micro hydro turbines Site location Turbine selection Water supply and distribution |
description |
Energy efficiency plays a large role in the sustainability effort of water utilities. In gravity-fed pipe networks that present excessive pressures, the installation of micro turbines or pumps-as-turbines for energy recovery can provide significant benefits. The main obstacles associated with this kind of solution include the high cost of implementation (equipment and installation) and the time-consuming task of searching for potential and feasible sites for the power plant implementation. In this work, a numerical methodology for the analysis of any water supply and distribution network in order to optimally locate sites for maximum energy recovery and to preliminarily select or design turbines is proposed and validated with a case study. The idea of this decision support tool is to facilitate the assessment of the potential for energy production in networks and encourage the implementation of this type of efficiency measure. The proposed approach consists of two main stages: (1) identification of potential sites for energy recovery through an optimization procedure and (2) selection of adequate types of turbine and preliminary feasibility analysis. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-03-01T00:00:00Z 2018-03 2020-02-13T11:02:22Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/27564 |
url |
http://hdl.handle.net/10773/27564 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0733-9496 10.1061/(ASCE)WR.1943-5452.0000894 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
American Society of Civil Engineers |
publisher.none.fl_str_mv |
American Society of Civil Engineers |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
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1799137658512867328 |