Modelling the Spatial Distribution of Wind Energy Resources in Latvia

Open access

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.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • 1. Shipkovs P. Kashkarova G. Lebedeva K. & Migla L. (2012). Use of renewable energy resources for reduction of environmental pollutions. In the Fourth IASTED African Conference on Power and Energy Systems (AfricaPES 2012) 3–5 September 2012 (pp. 79–85). Gaborone Botswana. CD Proceedings.

  • 2. Bobinaite V. & Priedite I. (2015). RES-E support policies in the Baltic States: electricity price aspect (part II). Latvian Journal of Physics and Technical Sciences 2 13–25.

  • 3. Bezrukovs V.P. Bezrukovs V.V. & Zacepins A.J. (2014). Comparative efficiency of wind turbines with different heights of rotor hubs: Performance evaluation for Latvia. J. Phys.: Conf. Ser. 524 012113. doi:10.1088/1742-6596/524/1/012113

  • 4. Godoy S. M. & Farret F.A. (2015). Modelling and Analysis with Induction Generators (3rd Edition). CRC Press.

  • 5. Turcik M. Obuševs A. Oļeiņikova I. & Junghans G. (2013). Assessment of wind production impacts to a power system and market formation in Baltic. Power and Electrical Engineering31 31–37.

  • 6. Vēja karte un kvalitāte. (n.d.) Available at http://www.kerveju.lv/veja_karte.php

  • 7. Ostapenko J. & Gamalejevs A. (2004). Latvian Wind Energy Guide. Riga.

  • 8. Atjaunojamā enerģija Latvijā. Project No. 2/EEZLV02/14/GS/044 Contract No. 2/EEZLV02/14/GS/044/011 24.04.2015/ Available at http://kpfi.liepu.lv/wpcontent/uploads/2016/03/Renewable_energy_LV.pdf

  • 9. Bezrukovs V. Zacepins A. Bezrukovs V. & Komashilovs V. (2016). Investigations of wind shear distribution on the Baltic shore of Latvia. Latvian Journal of Physics and Technical Sciences53(3) 3–10.

  • 10. ERA5 Public Release 2010-2016. Available at https://climate.copernicus.eu/era5-public-release-2010-2016

  • 11. Bivand R. S. Pebesma E. J. & Gómez-Rubio V. (2008). Applied Spatial Data Analysis with R (2nd edition). New York: Springer.

  • 12. Hennermann K. & Berrisford P. (2017). ERA5 data documentation. Available at https://software.ecmwf.int/wiki/display/CKB/ERA5+data+documentation

  • 13. Bezrukovs V. Zacepins A. Bezrukovs Vl. & Komashilovs V. (2016). Comparison of methods for evaluation of wind turbine power production by the results of wind shear measurements on the Baltic shore of Latvia. Renewable Energy96Part A 765–774.

  • 14. Manwell J. F. McGowan J. G. & Rogers A. L. (2009). Wind Energy Explained: Theory Design and Application. John Wiley & Sons Ltd.

Search
Journal information
Impact Factor


CiteScore 2018: 0.32

SCImago Journal Rank (SJR) 2018: 0.147
Source Normalized Impact per Paper (SNIP) 2018: 0.325

Cited By
Metrics
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 309 162 3
PDF Downloads 153 91 2