dc.contributor.author | Ulazia Manterola, Alain | |
dc.contributor.author | Sáenz Aguirre, Jon | |
dc.contributor.author | Ibarra Berastegi, Gabriel | |
dc.contributor.author | González Rojí, Santos José | |
dc.contributor.author | Carreno Madinabeitia, Sheila | |
dc.date.accessioned | 2020-02-28T13:32:25Z | |
dc.date.available | 2020-02-28T13:32:25Z | |
dc.date.issued | 2019-11-15 | |
dc.identifier.citation | Energy 187 : (2019) // Article ID 115938 | es_ES |
dc.identifier.issn | 0360-5442 | |
dc.identifier.issn | 1873-6785 | |
dc.identifier.uri | http://hdl.handle.net/10810/41858 | |
dc.description.abstract | The literature typically considers constant annual average air density when computing the wind energy potential of a given location. In this work, the recent reanalysis ERA5 is used to obtain global seasonal estimates of wind energy production that include seasonally varying air density. Thus, errors due to the use of a constant air density are quantified. First, seasonal air density changes are studied at the global scale. Then, wind power density errors due to seasonal air density changes are computed. Finally, winter and summer energy production errors due to neglecting the changes in air density are computed by implementing the power curve of the National Renewable Energy Laboratorys 5?MW turbine. Results show relevant deviations for three variables (air density, wind power density, and energy production), mainly in the middle-high latitudes (Hudson Bay, Siberia, Patagonia, Australia, etc.). Locations with variations from -6% to 6% are identified from summers to winters in the Northern Hemisphere. Additionally, simulations with the aeroelastic code FAST for the studied turbine show that instantaneous power production can be affected by greater than 20% below the rated wind speed if a day with realistically high or low air density values is compared for the same turbulent wind speed | es_ES |
dc.description.sponsorship | This work was funded by the Spanish Government's MINECO project CGL2016-76561-R (AEI/FEDER EU) and the University of the Basque Country (UPV/EHU-funded project GIU17/02). The ECMWF ERA-5 data used in this study were obtained from the Copernicus Climate Data Store. All the calculations were carried out in the framework of R Core Team (2016). More can be learnt about R, a language and an environment for statistical computing, at the website of the R Foundation for Statistical Computing, Vienna, Austria (https://www.R-project.org/). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Pergamon-Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/CGL2016-76561-R | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | wind energy potential | es_ES |
dc.subject | air density | es_ES |
dc.subject | eras | es_ES |
dc.subject | fluid mechanics | es_ES |
dc.subject | offshore wind | es_ES |
dc.subject | data assimilation | es_ES |
dc.subject | mesoscale model | es_ES |
dc.subject | wrf model | es_ES |
dc.subject | simulation | es_ES |
dc.subject | sensitivity | es_ES |
dc.subject | performance | es_ES |
dc.subject | area | es_ES |
dc.title | Global estimations of wind energy potential considering seasonal air density changes | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0360544219316226?via%3Dihub#! | es_ES |
dc.identifier.doi | 10.1016/j.energy.2019.115938 | |
dc.departamentoes | Física aplicada II | es_ES |
dc.departamentoes | Ingeniería nuclear y mecánica de fluidos | es_ES |
dc.departamentoeu | Fisika aplikatua II | es_ES |
dc.departamentoeu | Ingeniaritza nuklearra eta jariakinen mekanika | es_ES |