Assessment of the wind and wave energy potential in the water area of the Caspian Sea

Keywords: Caspian Sea, wind speed, wind direction, wind energy, wave energy, wind rose, Rayleigh distribution, Weibull distribution

Abstract

Problem statement. In modern times, the rapid increase in energy demand in the world and the environmental consequences of traditional energy sources make it necessary to switch to alternative energy. The use of alternative energy is not only important for environmental protection, but also reduces the dependence of countries and economic systems on oil, gas and their prices. At the same time, global problems such as climate change and air pollution increase the importance of renewable energy sources.

Purpose. The main goal of the research is to scientifically assess the wind and wave energy potential in the Caspian Sea and to justify this energy production with calculations.

Research methods. In the article, the wind and wave field of the Caspian Sea was studied in order to exploit the potential of wind and wave energy, and the energy of the obtained energy was calculated. To develop the wind parameters, data from three databases were used, two of which were space data and one was long-term operations. To increase the power of the waves and the energy obtained from them with both northern and southern winds, terrestrial data were used. Based on the obtained data, plans for the payment of wind and wave energy in the Caspian Sea were drawn up.

Conclusion. Using the natural potential of the Caspian Sea, the involvement of alternative energy sources in the production of electricity and heat will allow for progressive changes in the future development directions of electricity. The affordable geographical location and climatic conditions of the Caspian Sea region allow for the widespread use of environmentally friendly alternative energy sources such as wind and wave energy. This will not only save a lot of fuel burned in thermal power plants, but will also significantly reduce the amount of hazardous waste discharged into the environment. As a result of the conducted research and calculations, it was determined that the amount of wind energy that can be obtained using the FL 2500_90 type wind turbine at selected points on the Absheron Peninsula and the coastal zone adjacent to it is approximately 5–7 GW/h, and from the Northwind 100C (95 kW) type wind turbine – 0.33 GW/h. At the same time, the capacity factor (CF) of wind turbines at these points varies in the range of 25–33% and 35–40% respectively. It was determined that in the region there is some difference in terms of wave annual average energy potential. Thus, for northern and northwestern winds, the wave energy density varies in the range of approximately 15,000–35,000 kW/m, and for southern and southeastern winds, it varies in the range of 20,000–35,000 kW/m.

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Author Biography

Vusala Rasulzadeh, Institute of Geography named after Academician Hasan Aliyev

PhD Student, Junior Researcher

References

Ackere, S.V., Eetvelde, G.V., Schillebeeckx, D., Papa, E., Wyngene, K.V., Vandevelde, L. (2015). Wind Resource Mapping Using Landscape Roughness and Spatial Interpolation Methods. Energies 8 (8): 8682–8703. https://doi.org/10.3390/en8088682.

Carta, J. A., Ramírez, P., Velazquez, S. (2009). Review of Wind Speed Probability Distributions Used in Wind Energy Analysis. Renewable and Sustainable Energy Reviews Volume 13 (5), 933–955. https://doi.org/10.1016/j.rser.2008. 05.005.

Celik, A. N. (2003). Assessing the Suitability of Wind Speed Probability Distribution Functions Based on Wind Power Density. Renewable Energy 28 (10), 1563–1574. https://doi.org/10.1016/S0960-1481(03)00018-1.

Gardashov, E.R., Gardashov, R.H. (2024). On the derivation of an analytical expression for wind power probability distribution function and capacity factor of turbine. International Journal of Sustainable Energy, 43:1, 2390447. DOI: https://doi.org/10.1080/14786451.2024.2390447

Global Wind Atlas: [Electronic resource]. URL: https://globalwindatlas.info/en.

Hadapour, S., Shahidi, A.E., Kamranzad, B. (2014). Wave energy forecasting using artificial neural networks in the Caspian Sea. Maritime Engineering, London: 167, 1, 42-52.

Holmberg, P., Andersson, M., Bolund, B., Strandanger, K. (2011). Wave Power Surveillance study of the development Elforsk rapport 11:02, Stockholm, 5.

Hulio, Z.H. (2021) Assessment of Wind Characteristics and Wind Power Potential of Gharo, Pakistan. Hindawi Journal of Renewable Energy. https://doi.org/10.1155/2021/8960190.

Khaligh, A., Onar, O.C. (2010). Energy harvesting. Boca Raton: 339.

Ma, X., Li, M., Li, W., Liu, Y. (2025). Overview of Offshore Wind Power Technologies. Sustainability, 17, 596. https://doi.org/10.3390/su17020596.

Morgan, E.C., Lackner, M., Vogel, R.M. (2006). Probability Distributions for Offshore Wind Speeds. Energy Conversion and Management 52 (1): 15–26. https://doi.org/10.1016/j.enconman.2010.06.015.

NASA POWER: [Electronic resource]. URL: https://power.larc.nasa.gov/data-access-viewer/

Rehman, S., Natarajan, N., Mohandes, M.A., Meyer, J.P., Alam, M.M., Alhems, L.M. (2022). Wind and wind power characteristics of the eastern and southern coastal and northern inland regions, South Africa. Environmental Science and Pollution Research, 29, 85842–85854. https://doi.org/10.1007/s11356-021-14276-9.

Rusu, E., Onea, F. (2013). Evaluation of the wind and wave energy along the Caspian Sea. Energy, 50. https://doi.org/10.1016/j.energy.2012.11.044.

Sergey A., Lebedev and Andrey G. Kostianoy. (2008). Integrated Use of Satellite Altimetry in the Investigation of the Meteorological, Hydrological, and Hydrodynamic Regime of the Caspian Sea. Terrestrial Atmospheric and Oceanic Sciences, 19, 1-2, 71-82. doi: https://doi.org/10.3319/TAO.2008.19.1-2.71(SA)

Thorpe, T.W. (1999). A Brief Review of Wave Energy A report produced for The UK Department of Trade and Industry. Harwell.

Waters, R. (2008). Energy from ocean waves. Uppsala, 19.

Gardashov, R.H. Artificial intelligence and renewable energy. ANAS Transactions.

Mammadov, R.M. (2014). Hydrometeorological Atlas of the Caspian Sea. Baku: 300 [in Azerbaijani].

Mammadov, R.M. (2013). Hydrometeorology of the Caspian Sea. Baku: 173 [in Azerbaijani].

Published
2025-06-01
Cited
How to Cite
Rasulzadeh, V. (2025). Assessment of the wind and wave energy potential in the water area of the Caspian Sea. Visnyk of V. N. Karazin Kharkiv National University. Series Geology. Geography. Ecology, (62), 315-323. https://doi.org/10.26565/2410-7360-2025-62-23