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Title: TURBINES EVALUATION IN THE NEARSHORE AND OFFSHORE OF THE BLACK SEA
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TURBINES EVALUATION IN THE NEARSHORE AND OFFSHORE OF THE BLACK SEA
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1314-2704
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English
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19
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4.1
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The objective of this paper is to analyze the performances (capacity factor, rated capacity, operating capacity, annul electricity production) of some of the most used wind turbines in nearshore and offshore operations. The target area of this study is the Black Sea. More precisely, twelve points were chosen for this analysis. The wind fields (zonal and meridional velocity at 10-meter height) from four datasets were used to assess the wind turbines performances. The first one is ERA-Interim. This dataset is a global atmospheric reanalysis database witch comes from ECMWF (European Centre for Medium-Range Weather Forecasts). From this dataset 31-year period of data (1 January 1980 to 31 December 2010) were used. The other three datasets come from EURO-CORDEX experiment. This project contains high-resolution wind fields produced by various RCMs (Regional Climate Models). The first data set from EURO-CORDEX, representing the evaluation (hindcast), covers a period of 31-years (01 January 1980 to 31 December 2010). The last two are those simulated by Regional Climate Models under future climate projections under two Representative Concentration Pathways scenarios (RCP4.5 and RCP8.5) that cover the time interval from 01 January 2021 to 31 December 2050.
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conference
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
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19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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585-592
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30 June - 6 July, 2019
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website
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cdrom
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5880
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Black Sea; wind turbine; reanalysis data; climate model
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