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EVALUATION OF THE OFFSHORE WIND RESOURCES IN THE EUROPEAN SEAS BASED ON SATELLITE MEASUREMENTS
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References30
AVISO (Archiving, Validation and Interpretation of Satellite Oceanographic Data). http://www.aviso.altimetry.fr/en/home.html
Zanopol A., Onea F., Rusu E., Coastal impact assessment of a generic wave farm operating in the Romanian nearshore . Energy, vol. 72/issue 8, pp 652-670, 2014.
Onea F., Rusu E., Wind energy assessments along the Black Sea basin. Meteorological Applications, vol 21/issue 2, pp 316-329, 2014.
Rusu L., Bernardino M., Soares C. G., Influence of the wind fields on the accuracy of numerical wave modelling in offshore locations . Proceedings of the 27th International Conference on Offshore Mechanics and Arctic Engineering - 2008, vol 4, pp 637-644, 2008.
Chronis T., Papadopoulos V., Nikolopoulos E. I., QuickSCAT observations of extreme wind events over the Mediterranean and Black Seas during 2000 –2008. International Journal of Climatology, vol 31/issue 14, pp 2068– 2077, 2011.
PRINCIPLE. WindFloat project, February 2015.
Rusu L., Ivan A., Modelling Wind Waves in the Romanian Coastal Environment, Environmental Engineering and Management Journal vol 9/issue 4, pp 547-552, 2010.
AVISO. SSALTO/DUACS User Handbook: (M)SLA and (M)ADT Near-Real Time and Delayed Time Products, 2014.
Schwartz M., Heimiller H., Haymes S., Walt Musial W., Assessment of Offshore Wind Energy Resources for the United States. Technical Report NREL/ TP – 500 – 45889 June 2010, pp 104.
Kubik M.L., Coker, P.J. Hunt, C., Using meteorological wind data to estimate turbine generation output: A sensitivity analysis. World Renewable Energy Congress 2011 – Sweden, 8-13 May 2011, Linkoping, Sweden, pp 4074-4081.
WAsP 9 documentation: The roughness of a terrain. Website: http://www.wasp.dk . (Accessed on February 2015).
Wind Turbine SWT-3.6 -120. http://www.energy.siemens.com/nl/en/renewable- energy/wind-power/platforms/g4-platform/wind-turbine-swt-3-6-120.htm (Accessed on January 2015).
Senvion 6.2M 126. http://www.4coffshore.com/windfarms/turbine-senvion- 6.2m-126-tid36.html (Accessed on January 2015).
Pimenta F., Kempton W., Garvine R., Combining meteorological stations and satellite data to evaluate the offshore wind power resource of Southeastern Brazil. Renewable Energy, vol 33, pp 2375– 2387, 2008.
Ragheb M., Ragheb A.M., Wind Turbine Theory – The Betz Equation and Optimal Rotor Tip Speed Ratio, Fundamental and Advanced Topics in Wind Power, In Tech, pp19 – 38, 2011. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org
AVISO (Archiving, Validation and Interpretation of Satellite Oceanographic Data). http://www.aviso.altimetry.fr/en/home.html
Zanopol A., Onea F., Rusu E., Coastal impact assessment of a generic wave farm operating in the Romanian nearshore . Energy, vol. 72/issue 8, pp 652-670, 2014.
Onea F., Rusu E., Wind energy assessments along the Black Sea basin. Meteorological Applications, vol 21/issue 2, pp 316-329, 2014.
Rusu L., Bernardino M., Soares C. G., Influence of the wind fields on the accuracy of numerical wave modelling in offshore locations . Proceedings of the 27th International Conference on Offshore Mechanics and Arctic Engineering - 2008, vol 4, pp 637-644, 2008.
Chronis T., Papadopoulos V., Nikolopoulos E. I., QuickSCAT observations of extreme wind events over the Mediterranean and Black Seas during 2000 –2008. International Journal of Climatology, vol 31/issue 14, pp 2068– 2077, 2011.
PRINCIPLE. WindFloat project, February 2015.
Rusu L., Ivan A., Modelling Wind Waves in the Romanian Coastal Environment, Environmental Engineering and Management Journal vol 9/issue 4, pp 547-552, 2010.
AVISO. SSALTO/DUACS User Handbook: (M)SLA and (M)ADT Near-Real Time and Delayed Time Products, 2014.
Schwartz M., Heimiller H., Haymes S., Walt Musial W., Assessment of Offshore Wind Energy Resources for the United States. Technical Report NREL/ TP – 500 – 45889 June 2010, pp 104.
Kubik M.L., Coker, P.J. Hunt, C., Using meteorological wind data to estimate turbine generation output: A sensitivity analysis. World Renewable Energy Congress 2011 – Sweden, 8-13 May 2011, Linkoping, Sweden, pp 4074-4081.
WAsP 9 documentation: The roughness of a terrain. Website: http://www.wasp.dk . (Accessed on February 2015).
Wind Turbine SWT-3.6 -120. http://www.energy.siemens.com/nl/en/renewable- energy/wind-power/platforms/g4-platform/wind-turbine-swt-3-6-120.htm (Accessed on January 2015).
Senvion 6.2M 126. http://www.4coffshore.com/windfarms/turbine-senvion- 6.2m-126-tid36.html (Accessed on January 2015).
Pimenta F., Kempton W., Garvine R., Combining meteorological stations and satellite data to evaluate the offshore wind power resource of Southeastern Brazil. Renewable Energy, vol 33, pp 2375– 2387, 2008.
Ragheb M., Ragheb A.M., Wind Turbine Theory – The Betz Equation and Optimal Rotor Tip Speed Ratio, Fundamental and Advanced Topics in Wind Power, In Tech, pp19 – 38, 2011. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org
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