Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2

Detalhes bibliográficos
Autor(a) principal: Couto, António
Data de Publicação: 2021
Tipo de documento: Relatório
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.9/3726
Resumo: Project OPTIGRID - Methodology for Analysis of Dynamic Line Capacity and Optimized Management of Electric Grids: https://optigrid.lneg.pt/
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spelling Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2Renewable energy sourcesElectrical networksIntegrationElectricity marketsMIBELProject OPTIGRID - Methodology for Analysis of Dynamic Line Capacity and Optimized Management of Electric Grids: https://optigrid.lneg.pt/ABSTRACT: The work presented in this deliverable was developed by LNEG and R&D NESTER as part of the R&D activities of the project OPTIGRID - Methodology for the dynamic line rating analysis and optimal management of power networks. According to the plan activities of Tasks 2.1 and 2.4, the main objective of this deliverable is to present the methods applied to obtain the meteorological forecast data need to feed the models developed in this project and it merges all the datasets to be used in each case study. According to the work plan, and as reported in the deliverables from Task 4, three case studies were defined for: A) a region with large distributed wind capacity; B) a region with large photovoltaic (PV) potential and limited grid capacity; and C) market splitting occurrence in MIBEL due to congestion in the interconnections. For these regions the meteorological forecast data, used during this project, were obtained using a numerical weather prediction model and computational fluid dynamic model coupling approach. The numerical weather prediction (NWP) model is used to forecast the hourly spatial meteorological data (e.g., wind speed and direction, temperature) during 2018 with a maximum spatial resolution of 3 km. This model is calibrated regarding its physical parametrizations and initial/boundary conditions, among others.Repositório do LNEGCouto, António2022-01-25T18:22:05Z2021-09-01T00:00:00Z2021-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/reportapplication/pdfhttp://hdl.handle.net/10400.9/3726engCouto, António - Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2. Project report of OPTIGRID - Methodology for Analysis of Dynamic Line Capacity and Optimized Management of Electric Grids, Deliverable nº D2.2, LNEG, 2021, 42pp.info: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:RCAAP2022-09-06T12:29:28Zoai:repositorio.lneg.pt:10400.9/3726Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:36:56.515751Repositório 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 Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2
title Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2
spellingShingle Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2
Couto, António
Renewable energy sources
Electrical networks
Integration
Electricity markets
MIBEL
title_short Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2
title_full Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2
title_fullStr Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2
title_full_unstemmed Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2
title_sort Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2
author Couto, António
author_facet Couto, António
author_role author
dc.contributor.none.fl_str_mv Repositório do LNEG
dc.contributor.author.fl_str_mv Couto, António
dc.subject.por.fl_str_mv Renewable energy sources
Electrical networks
Integration
Electricity markets
MIBEL
topic Renewable energy sources
Electrical networks
Integration
Electricity markets
MIBEL
description Project OPTIGRID - Methodology for Analysis of Dynamic Line Capacity and Optimized Management of Electric Grids: https://optigrid.lneg.pt/
publishDate 2021
dc.date.none.fl_str_mv 2021-09-01T00:00:00Z
2021-09-01T00:00:00Z
2022-01-25T18:22:05Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/report
format report
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.9/3726
url http://hdl.handle.net/10400.9/3726
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Couto, António - Meteorological forecast data: Coupling NWP and CFD Modeling. Merging the datasets: Deliverable D2.2. Project report of OPTIGRID - Methodology for Analysis of Dynamic Line Capacity and Optimized Management of Electric Grids, Deliverable nº D2.2, LNEG, 2021, 42pp.
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.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
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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
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