ON THE WAVE ENERGY POTENTIAL OF THE BULGARIAN BLACK SEA COAST

Falcão, A. F. D. O. (2010). Wave energy utilization: A review of the technologies. Renewable and sustainable energy reviews, 14(3), 899-918.

Bedard, R., Jacobson, P. T., Previsic, M., Musial, W., & Varley, R. (2010). An overview of ocean renewable energy technologies. Oceanography, 23.

Falnes, J. (2007). A review of wave-energy extraction. Marine Structures, 20(4), 185-201.

Pontes, M. T., Aguiar, R., & Pires, H. O. (2005). A nearshore wave energy atlas for Portugal. transactions-american society of mechanical engineers journal of offshore mechanics and arctic engineering, 127(3), 249.

Rusu, E., Guedes Soares, C. (2009). Numerical modelling to estimate the spatial distribution of the wave energy in the Portuguese nearshore. Renewable Energy, 34(6), 1501-1516.

Rusu, E., Pilar, P., & Guedes Soares, C. (2008). Evaluation of the wave conditions in Madeira Archipelago with spectral models. Ocean Engineering, 35(13), 1357-1371.

Rusu, L., Guedes Soares, C. (2012). Wave energy assessments in the Azores islands. Renewable Energy, 45, 183-196.

Iglesias, G., López, M., Carballo, R., Castro, A., Fraguela, J. A., & Frigaard, P. (2009). Wave energy potential in Galicia (NW Spain). Renewable Energy, 34(11), 2323-2333.

Iglesias, G., Carballo, R. (2010). Wave energy resource in the Estaca de Bares area (Spain). Renewable Energy, 35(7), 1574-1584.

Iglesias, G., Carballo, R. (2009). Wave energy potential along the Death Coast (Spain). Energy, 34(11), 1963-1975.

Iglesias, G., Carballo, R. (2010). Offshore and inshore wave energy assessment: Asturias (N Spain). Energy, 35(5), 1964-1972.

Rusu E. Wave energy assessments in the Black Sea. Journal of marine science and technology 2009;14:359-72.

Booij, N., Ris, R. C., & Holthuijsen, L. H. (1999). A third ‐generation wave model for coastal regions: 1. Model description and validation. Journal of Geophysical Research: Oceans (1978–2012), 104(C4), 7649-7666. GeoConference on Water Resources. Forest, Marine and Ocean Ecosystems

Akpınar A, Kömürcü Mİ. (2012).Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data. Applied Energy 2012

Aydoğan B, Ayat B, Yüksel Y. (2013). Black Sea wave energy atlas from 13 years hindcasted wave data. Renewable Energy 2013;57:436-47.

Galabov Vasko, Anna Kortcheva, Marieta Dimitrova, (2012) Towards a system for sea state forecasts in the Bulgarian Black Sea coastal zone: the case of the storm of 07- 08 February, 2012,SGEM2012 Conference Proceedings/ ISSN 1314-2704, Vol. 3, 1017 - 1024 pp, DOI: 10.5593/SGEM2012/S14.V3012, arXiv:1212.2108

van der Westhuysen, A. J., Zijlema, M., & Battjes, J. A. (2007). Nonlinear saturation-based whitecapping dissipation in SWAN for deep and shallow water. Coastal Engineering, 54(2), 151-170.

Yan Y (1987), An improved wind input source term for third generation ocean wave modeling Rep. No. 87– 8, Royal Dutch Meteor. Inst 20 pp.

Alves, J. H. G. M., and M. L. Banner, (2003): Performance of a saturation-based dissipation-rate source term in modeling the fetch-limited evolution of wind waves. J. Phys. Oceanogr., 33, 1274–1298

Babanin, A. V. and A. J. van der Westhuysen, 2008: Physics of saturation-based dissipation functions proposed for wave forecast models. J. Phys. Oceanogr., 38, 1831 –

Galabov Vasko,,(2013), On the whitecapping parameterization of whitecapping and wind input in deep and shallow waters in enclosed seas, Bulgarian Journal of Meteorology and Hydrology, 2013

Galabov Vasko,(2010), Implementation of SWAN for the Mediterranean and Atlantic coast of France, METEO- FRANCE, DPREVI/MAR, internal report

Rusu Eugen (2011), Strategies in using numerical wave models in Ocean/ Coastal applications. Journal of Marine Science and Technology, Vol. 19, No. 1, pp. 58-75.

Grozdev D. Energy Regime of the Sea Wind Wave in Bulgarian Black Sea Coastal Waves. International Conference Global Changes and Problems Theory and Practice, Sofia University―St Kliment Ohridski‖, Faculty of Geology and Geography,―St Kliment Ohridski‖ Univesity Press, Sofia2008. p. 104-8.

Valchev N, Davidan I, Belberov Z, Palazov A, Valcheva N, Chin D. Hindcasting and assessment of the western Black sea wind and wave climate. J Environ Prot Ecol 2010;11:1001-12.

Bogatchev A.(2008), Changes in operational suite of ALADIN – BG, ALADIN Newsletter No 34

Davidan, I., & Slabakov, H. (2006). The effect of the driving wind fields on the accuracy of wave hindcasting in the Black Sea. In Geophysical Research Abstracts (Vol. 8, p. 08210).

Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., ... & Vitart, F. (2011). The ERA ‐Interim reanalysis: Configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137(656), 553-597.

Falcão, A. F. D. O. (2010). Wave energy utilization: A review of the technologies. Renewable and sustainable energy reviews, 14(3), 899-918.

Bedard, R., Jacobson, P. T., Previsic, M., Musial, W., & Varley, R. (2010). An overview of ocean renewable energy technologies. Oceanography, 23.

Falnes, J. (2007). A review of wave-energy extraction. Marine Structures, 20(4), 185-201.

Pontes, M. T., Aguiar, R., & Pires, H. O. (2005). A nearshore wave energy atlas for Portugal. transactions-american society of mechanical engineers journal of offshore mechanics and arctic engineering, 127(3), 249.

Rusu, E., Guedes Soares, C. (2009). Numerical modelling to estimate the spatial distribution of the wave energy in the Portuguese nearshore. Renewable Energy, 34(6), 1501-1516.

Rusu, E., Pilar, P., & Guedes Soares, C. (2008). Evaluation of the wave conditions in Madeira Archipelago with spectral models. Ocean Engineering, 35(13), 1357-1371.

Rusu, L., Guedes Soares, C. (2012). Wave energy assessments in the Azores islands. Renewable Energy, 45, 183-196.

Iglesias, G., López, M., Carballo, R., Castro, A., Fraguela, J. A., & Frigaard, P. (2009). Wave energy potential in Galicia (NW Spain). Renewable Energy, 34(11), 2323-2333.

Iglesias, G., Carballo, R. (2010). Wave energy resource in the Estaca de Bares area (Spain). Renewable Energy, 35(7), 1574-1584.

Iglesias, G., Carballo, R. (2009). Wave energy potential along the Death Coast (Spain). Energy, 34(11), 1963-1975.

Iglesias, G., Carballo, R. (2010). Offshore and inshore wave energy assessment: Asturias (N Spain). Energy, 35(5), 1964-1972.

Rusu E. Wave energy assessments in the Black Sea. Journal of marine science and technology 2009;14:359-72.

Booij, N., Ris, R. C., & Holthuijsen, L. H. (1999). A third ‐generation wave model for coastal regions: 1. Model description and validation. Journal of Geophysical Research: Oceans (1978–2012), 104(C4), 7649-7666. GeoConference on Water Resources. Forest, Marine and Ocean Ecosystems

Akpınar A, Kömürcü Mİ. (2012).Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data. Applied Energy 2012

Aydoğan B, Ayat B, Yüksel Y. (2013). Black Sea wave energy atlas from 13 years hindcasted wave data. Renewable Energy 2013;57:436-47.

Galabov Vasko, Anna Kortcheva, Marieta Dimitrova, (2012) Towards a system for sea state forecasts in the Bulgarian Black Sea coastal zone: the case of the storm of 07- 08 February, 2012,SGEM2012 Conference Proceedings/ ISSN 1314-2704, Vol. 3, 1017 - 1024 pp, DOI: 10.5593/SGEM2012/S14.V3012, arXiv:1212.2108

van der Westhuysen, A. J., Zijlema, M., & Battjes, J. A. (2007). Nonlinear saturation-based whitecapping dissipation in SWAN for deep and shallow water. Coastal Engineering, 54(2), 151-170.

Yan Y (1987), An improved wind input source term for third generation ocean wave modeling Rep. No. 87– 8, Royal Dutch Meteor. Inst 20 pp.

Alves, J. H. G. M., and M. L. Banner, (2003): Performance of a saturation-based dissipation-rate source term in modeling the fetch-limited evolution of wind waves. J. Phys. Oceanogr., 33, 1274–1298

Babanin, A. V. and A. J. van der Westhuysen, 2008: Physics of saturation-based dissipation functions proposed for wave forecast models. J. Phys. Oceanogr., 38, 1831 –

Galabov Vasko,,(2013), On the whitecapping parameterization of whitecapping and wind input in deep and shallow waters in enclosed seas, Bulgarian Journal of Meteorology and Hydrology, 2013

Galabov Vasko,(2010), Implementation of SWAN for the Mediterranean and Atlantic coast of France, METEO- FRANCE, DPREVI/MAR, internal report

Rusu Eugen (2011), Strategies in using numerical wave models in Ocean/ Coastal applications. Journal of Marine Science and Technology, Vol. 19, No. 1, pp. 58-75.

Grozdev D. Energy Regime of the Sea Wind Wave in Bulgarian Black Sea Coastal Waves. International Conference Global Changes and Problems Theory and Practice, Sofia University―St Kliment Ohridski‖, Faculty of Geology and Geography,―St Kliment Ohridski‖ Univesity Press, Sofia2008. p. 104-8.

Valchev N, Davidan I, Belberov Z, Palazov A, Valcheva N, Chin D. Hindcasting and assessment of the western Black sea wind and wave climate. J Environ Prot Ecol 2010;11:1001-12.

Bogatchev A.(2008), Changes in operational suite of ALADIN – BG, ALADIN Newsletter No 34

Davidan, I., & Slabakov, H. (2006). The effect of the driving wind fields on the accuracy of wave hindcasting in the Black Sea. In Geophysical Research Abstracts (Vol. 8, p. 08210).

Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., ... & Vitart, F. (2011). The ERA ‐Interim reanalysis: Configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137(656), 553-597.