<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The paper studies spatial wind energy flow distribution in Latvia based on wind speed measurements carried out at an altitude of 10 <italic>m</italic> over a period of two years, from 2015 to 2016. The measurements, with 1 <italic>min</italic> increments, were carried out using certified measuring instruments installed at 22 observation stations of the Latvian National Hydrometeorological and Climatological Service of the Latvian Environment, Geology and Meteorology Centre (LEGMC). The models of the spatial distribution of averaged wind speed and wind energy density were developed using the method of spatial interpolation based on the historical measurement results and presented in the form of colour contour maps with a 1×1 <italic>km</italic> resolution. The paper also provides the results of wind speed spatial distribution modelling using a climatological reanalysis ERA5 at the altitudes of 10, 54, 100 and 136 <italic>m</italic> with a 31×31 <italic>km</italic> resolution. The analysis includes the comparison of actual wind speed measurement results with the outcomes of ERA5 modelling for meteorological observation stations in Ainazi, Daugavpils, Priekuli, Saldus and Ventspils.</p></abstract>

The paper studies spatial wind energy flow distribution in Latvia based on wind speed measurements carried out at an altitude of 10 m over a period of two years, from 2015 to 2016. The measurements, with 1 min increments, were carried out using certified measuring instruments installed at 22 observation stations of the Latvian National Hydrometeorological and Climatological Service of the Latvian Environment, Geology and Meteorology Centre (LEGMC). The models of the spatial distribution of averaged wind speed and wind energy density were developed using the method of spatial interpolation based on the historical measurement results and presented in the form of colour contour maps with a 1×1 km resolution. The paper also provides the results of wind speed spatial distribution modelling using a climatological reanalysis ERA5 at the altitudes of 10, 54, 100 and 136 m with a 31×31 km resolution. The analysis includes the comparison of actual wind speed measurement results with the outcomes of ERA5 modelling for meteorological observation stations in Ainazi, Daugavpils, Priekuli, Saldus and Ventspils.

Modelling the Spatial Distribution of Wind Energy Resources in Latvia

Latvian Environment, Geology and Meteorology Centre

Latvian Journal of Physics and Technical Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Modelling the Spatial Distribution of Wind Energy Resources in Latvia"}

The paper studies spatial wind energy flow distribution in Latvia based on wind speed measurements carried out at an altitude of 10 m over a period of two...

Modelling the Spatial Distribution of Wind Energy Resources in Latvia

Publicado en línea: 24 ene 2018

Páginas: 10 - 20

DOI: https://doi.org/10.1515/lpts-2017-0037

Palabras clave
wind speed, wind energy, measurements, modelling, ERA5

© 2017 S. Aniskevich et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Modelling the Spatial Distribution of Wind Energy Resources in Latvia

Publicado en línea: 24 ene 2018

Páginas: 10 - 20

DOI: https://doi.org/10.1515/lpts-2017-0037

Palabras clavewind speed, wind energy, measurements, modelling, ERA5

© 2017 S. Aniskevich et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Palabras clave
wind speed, wind energy, measurements, modelling, ERA5