Use of Renewable Energy Resources for Reduction of Environmental Pollution

Shipkovs, P.; Kashkarova, Galina; Ļebedeva, Kristina; Puriņa, Ilze; Migla, Lana; Street, Aizkraukles

doi:10.2316/p.2012.760-020

Cited by 1 publication

(2 citation statements)

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“…This article is based on data obtained using certified measuring sensors installed at meteorological observation stations belonging to the LEGMC 1 The presentation of the results of physical measurements in the form of a model of the spatial distribution of wind speed allows us to consider, as an alternative, other methods related to wind speed prediction. For instance, the article also presents the models of the spatial distribution of wind speed at the heights of 10, 54, 100 and 136 m, developed by using climatological reanalysis datasets ERA5 from 2015 to 2016 for the Latvian territory [10].…”

Section: The Network Of Meteorological Stations and Measurement Resultsmentioning

confidence: 99%

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Modelling the Spatial Distribution of Wind Energy Resources in Latvia

Aniskevich

Bezrukovs

Zandovskis

2017

Latvian Journal of Physics and Technical Sciences

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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 1x1 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 31x31 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.

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Section: The Network Of Meteorological Stations and Measurement Resultsmentioning

confidence: 99%

“…This creates the dependency of the country's economy on external supplies. Hence, the state is interested in the development of power plants using available national energy resources [1].…”

Section: Introductionmentioning

confidence: 99%