Evaluation of a Database of the Spanish Wind Energy Resources Derived from a Regional Reanalysis

An enhanced database (RetroDB) of the Spanish wind energy resources, derived from a high spatial resolution integration with the WRF model, is proposed and evaluated. RetroDB provides hourly capacity factor (CF) values for the Spanish regions, along the period of 2007–2020, with an unprecedented spa...

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Main Authors: Antonio Jiménez-Garrote, Francisco J. Santos-Alamillos, Guadalupe Sánchez-Hernández, Miguel López-Cuesta, José A. Ruiz-Arias, David Pozo-Vázquez
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/17/7/1523
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author Antonio Jiménez-Garrote
Francisco J. Santos-Alamillos
Guadalupe Sánchez-Hernández
Miguel López-Cuesta
José A. Ruiz-Arias
David Pozo-Vázquez
author_facet Antonio Jiménez-Garrote
Francisco J. Santos-Alamillos
Guadalupe Sánchez-Hernández
Miguel López-Cuesta
José A. Ruiz-Arias
David Pozo-Vázquez
author_sort Antonio Jiménez-Garrote
collection DOAJ
description An enhanced database (RetroDB) of the Spanish wind energy resources, derived from a high spatial resolution integration with the WRF model, is proposed and evaluated. RetroDB provides hourly capacity factor (CF) values for the Spanish regions, along the period of 2007–2020, with an unprecedented spatial resolution. RetroDB estimates were benchmarked based on the ERA5 global reanalysis. A comprehensive evaluation study of both RetroDB and ERA5 estimates was conducted using surface and tall mast measurements, along with actual CF values. The extent to which RetroDB and ERA5 reproduced the CF spatial variability, distribution, and ramp distribution were specifically addressed. The results showed no differences between the global and regional reanalysis performance regarding nationally aggregated wind energy estimates. Nevertheless, RetroDB clearly shows a superior performance reproducing the wind speeds’ and CFs’ spatial and temporal distributions. This was found to be related to the higher reliability of RetroDB reproducing the aloft winds in complex topographic areas. Overall, the results clearly indicate that, in areas such as the study region, where the wind resources are mostly associated with topographic enhancements, high spatial resolution regional reanalyses are preferable over relative coarse reanalyses (e.g., ERA5), particularly for wind energy integration studies. RetroDB database is made publicly available.
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spelling doaj.art-2a0af354149c4ecb92a192a33cf748042024-04-12T13:17:38ZengMDPI AGEnergies1996-10732024-03-01177152310.3390/en17071523Evaluation of a Database of the Spanish Wind Energy Resources Derived from a Regional ReanalysisAntonio Jiménez-Garrote0Francisco J. Santos-Alamillos1Guadalupe Sánchez-Hernández2Miguel López-Cuesta3José A. Ruiz-Arias4David Pozo-Vázquez5Andalusian Institute for Earth System Research IISTA-CEAMA, Department of Physics, University of Jaen, 23071 Jaen, SpainDepartment of Applied Physics I, University of Malaga, 29071 Malaga, SpainAndalusian Institute for Earth System Research IISTA-CEAMA, Department of Physics, University of Jaen, 23071 Jaen, SpainAndalusian Institute for Earth System Research IISTA-CEAMA, Department of Physics, University of Jaen, 23071 Jaen, SpainDepartment of Applied Physics I, University of Malaga, 29071 Malaga, SpainAndalusian Institute for Earth System Research IISTA-CEAMA, Department of Physics, University of Jaen, 23071 Jaen, SpainAn enhanced database (RetroDB) of the Spanish wind energy resources, derived from a high spatial resolution integration with the WRF model, is proposed and evaluated. RetroDB provides hourly capacity factor (CF) values for the Spanish regions, along the period of 2007–2020, with an unprecedented spatial resolution. RetroDB estimates were benchmarked based on the ERA5 global reanalysis. A comprehensive evaluation study of both RetroDB and ERA5 estimates was conducted using surface and tall mast measurements, along with actual CF values. The extent to which RetroDB and ERA5 reproduced the CF spatial variability, distribution, and ramp distribution were specifically addressed. The results showed no differences between the global and regional reanalysis performance regarding nationally aggregated wind energy estimates. Nevertheless, RetroDB clearly shows a superior performance reproducing the wind speeds’ and CFs’ spatial and temporal distributions. This was found to be related to the higher reliability of RetroDB reproducing the aloft winds in complex topographic areas. Overall, the results clearly indicate that, in areas such as the study region, where the wind resources are mostly associated with topographic enhancements, high spatial resolution regional reanalyses are preferable over relative coarse reanalyses (e.g., ERA5), particularly for wind energy integration studies. RetroDB database is made publicly available.https://www.mdpi.com/1996-1073/17/7/1523meteorologyresource assessmentwind powerwind power integrationwind resource
spellingShingle Antonio Jiménez-Garrote
Francisco J. Santos-Alamillos
Guadalupe Sánchez-Hernández
Miguel López-Cuesta
José A. Ruiz-Arias
David Pozo-Vázquez
Evaluation of a Database of the Spanish Wind Energy Resources Derived from a Regional Reanalysis
Energies
meteorology
resource assessment
wind power
wind power integration
wind resource
title Evaluation of a Database of the Spanish Wind Energy Resources Derived from a Regional Reanalysis
title_full Evaluation of a Database of the Spanish Wind Energy Resources Derived from a Regional Reanalysis
title_fullStr Evaluation of a Database of the Spanish Wind Energy Resources Derived from a Regional Reanalysis
title_full_unstemmed Evaluation of a Database of the Spanish Wind Energy Resources Derived from a Regional Reanalysis
title_short Evaluation of a Database of the Spanish Wind Energy Resources Derived from a Regional Reanalysis
title_sort evaluation of a database of the spanish wind energy resources derived from a regional reanalysis
topic meteorology
resource assessment
wind power
wind power integration
wind resource
url https://www.mdpi.com/1996-1073/17/7/1523
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