Scholarly record
TURBINES EVALUATION IN THE NEARSHORE AND OFFSHORE OF THE BLACK SEA
Abstract
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.
Publication Impact Profile
Publication details
References15
Onea, F., Rusu, L., Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea. Energies, 11, 2452, 2018.
Ganea, D., Amortila, V., Mereuta, E., Rusu, E., A Joint Evaluation of the Wind and Wave Energy Resources Close to the Greek Islands. Sustainability, 9, 1025, 2017.
Ganea, D., Mereuta, E., Rusu, L., Future Projection of the Wind Power Potential for the Romania Territory, SGEM Conference, 18 (4.3), 479–487, 2018.
Luong, N.D., A Critical Review on Potential and Current Status of Wind Energy in Vietnam. Renewable and Sustainable Energy Reviews, 43, 440–448, 2015.
Rusu, L., Bernardino, M., Guedes Soares, C., Wind and Wave Modelling in the Black Sea. Journal of Operational Oceanography, 7, 5–20, 2014.
Onea, F., Rusu, E., Wind Energy Assessments Along the Black Sea Basin. Meteorological Applications 21, 316–329, 2014.
Koletsis, I., Kotroni, V., Lagouvardos, K., Soukissian, T., Assessment of Offshore Wind Speed and Power Potential Over the Mediterranean and the Black Seas Under Future Climate Changes. Renewable and Sustainable Energy Reviews , 60, 234–245, 2016.
Onat, N., Ersoz, V., Analysis of Wind Climate and Wind Energy Potential of Regions in Turkey Energy, 36, 148–156, 2011.
Rusu, E., Onea, F., Estimation of the Wave Energy Conversion Efficiency in the Atlantic Ocean close to the European Islands. Renew. Energy, 85, 687–703.F, 2016.
Onea, F., Rusu, E., Efficiency Assessments for Some State of the Art Wind Turbines in the Coastal Environments of the Black and the Caspian Seas. Energy Explor. Exploit, 34, 217–234, 2016.
Ganea, D., Mereuta, E., Rusu, L., Estimation of the Near Future Wind Power Potential in the Black Sea. Energies, 11, 3198, 2018.
Dee, D.P., Uppala, S.M., Simmons, A.J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M.A., Balsamo, G., Bauer, d P., The ERA-Interim Reanalysis: Configuration and Performance of the Data Assimilation System. Quarterly Journal of the royal meteorological society, 137, 553–597, 2011.
Vestas V90-3.0-300 MW-Wind Turbine. Available online: https://en.wind-turbine-models.com/turbines/603-vestas-v90-3.0 (accessed on 03 September 2018)
AREVA M5000-116-500 MW-Wind Turbine. Available online: https://en.wind-turbine-models.com/turbines/23-areva-m5000-116 (accessed on 08 September 2018) services/wind-turbines/6xm/62m126/ (accessed on 11 September 2018)
WAsP (2014) WAsP 9 documentation: The roughness of a terrain. Available at: http://www.wasp.dk (accessed October 13, 2017).
Citing literature
Number of times cited according to Crossref: 1
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
