Development of reservoir operation rules using seasonal climate forecasts

Detalhes bibliográficos
Autor(a) principal: Morais,Andressa Adna Cavalcante
Data de Publicação: 2021
Outros Autores: Maia,Adelena Gonçalves
Tipo de documento: Artigo
Idioma: eng
Título da fonte: RBRH (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312021000100218
Resumo: ABSTRACT This study verified the suitability of using precipitation forecasts in defining operation rules for the Cruzeta reservoir in Rio Grande do Norte, Brazil. The operation rules were developed through reservoir operation simulation–optimization, using a genetic algorithm. The performance indicators were analyzed in five operation scenarios: standard operating policy (SOP), current reservoir rationing rule (C), rationing without forecast (R), rationing with forecast (RF), and rationing with perfect forecast (RPF). The SOP scenario better met the total demand but made the system very susceptible to supply collapse. The results of the RF and RPF scenarios showed better compliance with the priority demands and the total demand during the dry periods. Changing from RF to RPF scenario, there is a small improvement in the evaluation indexes. The use of rules integrating the seasonal weather forecast is thus recommended.
id ABRH-1_bc5c3ada5dedb58f280ed3be610cdc5f
oai_identifier_str oai:scielo:S2318-03312021000100218
network_acronym_str ABRH-1
network_name_str RBRH (Online)
repository_id_str
spelling Development of reservoir operation rules using seasonal climate forecastsOptimizationOperation rulesWater scarcityABSTRACT This study verified the suitability of using precipitation forecasts in defining operation rules for the Cruzeta reservoir in Rio Grande do Norte, Brazil. The operation rules were developed through reservoir operation simulation–optimization, using a genetic algorithm. The performance indicators were analyzed in five operation scenarios: standard operating policy (SOP), current reservoir rationing rule (C), rationing without forecast (R), rationing with forecast (RF), and rationing with perfect forecast (RPF). The SOP scenario better met the total demand but made the system very susceptible to supply collapse. The results of the RF and RPF scenarios showed better compliance with the priority demands and the total demand during the dry periods. Changing from RF to RPF scenario, there is a small improvement in the evaluation indexes. The use of rules integrating the seasonal weather forecast is thus recommended.Associação Brasileira de Recursos Hídricos2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312021000100218RBRH v.26 2021reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.262120210012info:eu-repo/semantics/openAccessMorais,Andressa Adna CavalcanteMaia,Adelena Gonçalveseng2021-07-27T00:00:00Zoai:scielo:S2318-03312021000100218Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2021-07-27T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false
dc.title.none.fl_str_mv Development of reservoir operation rules using seasonal climate forecasts
title Development of reservoir operation rules using seasonal climate forecasts
spellingShingle Development of reservoir operation rules using seasonal climate forecasts
Morais,Andressa Adna Cavalcante
Optimization
Operation rules
Water scarcity
title_short Development of reservoir operation rules using seasonal climate forecasts
title_full Development of reservoir operation rules using seasonal climate forecasts
title_fullStr Development of reservoir operation rules using seasonal climate forecasts
title_full_unstemmed Development of reservoir operation rules using seasonal climate forecasts
title_sort Development of reservoir operation rules using seasonal climate forecasts
author Morais,Andressa Adna Cavalcante
author_facet Morais,Andressa Adna Cavalcante
Maia,Adelena Gonçalves
author_role author
author2 Maia,Adelena Gonçalves
author2_role author
dc.contributor.author.fl_str_mv Morais,Andressa Adna Cavalcante
Maia,Adelena Gonçalves
dc.subject.por.fl_str_mv Optimization
Operation rules
Water scarcity
topic Optimization
Operation rules
Water scarcity
description ABSTRACT This study verified the suitability of using precipitation forecasts in defining operation rules for the Cruzeta reservoir in Rio Grande do Norte, Brazil. The operation rules were developed through reservoir operation simulation–optimization, using a genetic algorithm. The performance indicators were analyzed in five operation scenarios: standard operating policy (SOP), current reservoir rationing rule (C), rationing without forecast (R), rationing with forecast (RF), and rationing with perfect forecast (RPF). The SOP scenario better met the total demand but made the system very susceptible to supply collapse. The results of the RF and RPF scenarios showed better compliance with the priority demands and the total demand during the dry periods. Changing from RF to RPF scenario, there is a small improvement in the evaluation indexes. The use of rules integrating the seasonal weather forecast is thus recommended.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312021000100218
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312021000100218
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2318-0331.262120210012
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Recursos Hídricos
publisher.none.fl_str_mv Associação Brasileira de Recursos Hídricos
dc.source.none.fl_str_mv RBRH v.26 2021
reponame:RBRH (Online)
instname:Associação Brasileira de Recursos Hídricos (ABRH)
instacron:ABRH
instname_str Associação Brasileira de Recursos Hídricos (ABRH)
instacron_str ABRH
institution ABRH
reponame_str RBRH (Online)
collection RBRH (Online)
repository.name.fl_str_mv RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)
repository.mail.fl_str_mv ||rbrh@abrh.org.br
_version_ 1754734702273495040

Registros relacionados