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

Antonio Jiménez-Garrote, Francisco J. Santos-Alamillos, Guadalupe Sánchez-Hernández, Miguel López-Cuesta, José A. Ruiz-Arias and David Pozo-Vázquez ()
Additional contact information
Antonio Jiménez-Garrote: Andalusian Institute for Earth System Research IISTA-CEAMA, Department of Physics, University of Jaen, 23071 Jaen, Spain
Francisco J. Santos-Alamillos: Department of Applied Physics I, University of Malaga, 29071 Malaga, Spain
Guadalupe Sánchez-Hernández: Andalusian Institute for Earth System Research IISTA-CEAMA, Department of Physics, University of Jaen, 23071 Jaen, Spain
Miguel López-Cuesta: Andalusian Institute for Earth System Research IISTA-CEAMA, Department of Physics, University of Jaen, 23071 Jaen, Spain
José A. Ruiz-Arias: Department of Applied Physics I, University of Malaga, 29071 Malaga, Spain
David Pozo-Vázquez: Andalusian Institute for Earth System Research IISTA-CEAMA, Department of Physics, University of Jaen, 23071 Jaen, Spain

Energies, 2024, vol. 17, issue 7, 1-25

Abstract: 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.

Keywords: meteorology; resource assessment; wind power; wind power integration; wind resource (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/7/1523/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/7/1523/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:7:p:1523-:d:1362045

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().