A spatial decision support system evaluating energy and resources for wind turbine development: The case study of Iowa, USA

Detalhes bibliográficos
Autor(a) principal: Morris, Gabrielle Patricia
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/113901
Resumo: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
id RCAP_e2041d940c3455b12d99329351354e01
oai_identifier_str oai:run.unl.pt:10362/113901
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling A spatial decision support system evaluating energy and resources for wind turbine development: The case study of Iowa, USASpatial Decision Support SystemWind EnergyWeibull DistributionWind Power DensityGeographic Information SystemsDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesEnergy goals have been set to address climate change and mitigate greenhouse gas emissions in accordance with the Paris climate agreement, a result of the United Nations Convention on Climate Change in 2015. Wind turbines have received a fast-growing interest since they do not produce carbon emissions when converting wind energy to power. It is expected that wind turbines will make up 20 percent of the United States electricity market by 2030 and 35 percent by 2050. A spatial decision support system (SDSS) was developed for a quantitative research study, evaluating wind energy and resources through mathematical modeling and geographic information systems (GIS). The SDSS proposed in the study is comprised of four steps: acquisition of data, resource forecasting, simulation and analysis, and ranking of alternative strategies. The SDSS was then applied to a case study in Iowa, United States for the year 2013. Wind turbine and resource datasets were extracted from the U.S. Wind Turbine Database and WIND Toolkit, respectively. Resources were forecasted using Ordinary Kriging spatial interpolation and Weibull distribution modeling. Weibull parameters were estimated using the power density method. Wind power density, turbine rotor swept area, and the power coefficient were used to simulate power output and capacity factors of presently located wind turbines. Finally, alternative strategies for wind turbine development were ranked based on the estimated energy yields of presently located wind turbines. The results found that most of Iowa exhibits Class III wind speeds, as defined by the International Electrotechnical Commission. Overall, it can be determined that Iowa’s resources are economically suited for wind turbine development.Painho, Marco Octávio TrindadeRamos Romero, José FranciscoSilva, Joel Dinis Baptista Ferreira daRUNMorris, Gabrielle Patricia2021-03-15T17:54:20Z2021-03-122021-03-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/113901TID:202673219enginfo: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:RCAAP2024-03-11T04:56:43Zoai:run.unl.pt:10362/113901Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:42:24.472146Repositório 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 A spatial decision support system evaluating energy and resources for wind turbine development: The case study of Iowa, USA
title A spatial decision support system evaluating energy and resources for wind turbine development: The case study of Iowa, USA
spellingShingle A spatial decision support system evaluating energy and resources for wind turbine development: The case study of Iowa, USA
Morris, Gabrielle Patricia
Spatial Decision Support System
Wind Energy
Weibull Distribution
Wind Power Density
Geographic Information Systems
title_short A spatial decision support system evaluating energy and resources for wind turbine development: The case study of Iowa, USA
title_full A spatial decision support system evaluating energy and resources for wind turbine development: The case study of Iowa, USA
title_fullStr A spatial decision support system evaluating energy and resources for wind turbine development: The case study of Iowa, USA
title_full_unstemmed A spatial decision support system evaluating energy and resources for wind turbine development: The case study of Iowa, USA
title_sort A spatial decision support system evaluating energy and resources for wind turbine development: The case study of Iowa, USA
author Morris, Gabrielle Patricia
author_facet Morris, Gabrielle Patricia
author_role author
dc.contributor.none.fl_str_mv Painho, Marco Octávio Trindade
Ramos Romero, José Francisco
Silva, Joel Dinis Baptista Ferreira da
RUN
dc.contributor.author.fl_str_mv Morris, Gabrielle Patricia
dc.subject.por.fl_str_mv Spatial Decision Support System
Wind Energy
Weibull Distribution
Wind Power Density
Geographic Information Systems
topic Spatial Decision Support System
Wind Energy
Weibull Distribution
Wind Power Density
Geographic Information Systems
description Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
publishDate 2021
dc.date.none.fl_str_mv 2021-03-15T17:54:20Z
2021-03-12
2021-03-12T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/113901
TID:202673219
url http://hdl.handle.net/10362/113901
identifier_str_mv TID:202673219
dc.language.iso.fl_str_mv eng
language eng
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
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
_version_ 1799138035604914176

Registros relacionados