Research Article

Statistical characteristics, probability distribution, and power potential of sea water velocity in Turkey

Volume: 6 Number: 4 December 20, 2022
EN

Statistical characteristics, probability distribution, and power potential of sea water velocity in Turkey

Abstract

Sea currents have the potential to supply electricity from a renewable energy source to coastal regions. The assessment of the potential energy that could be generated is the first step toward developing this resource. In this study, the data was collected at 5 m and 35 m depths below the sea surface level, including sea current velocity and direction. A detailed field measurement, of the probability of sea water velocity at three stations (Antalya, Silivri, Istanbul) for 5 months is carried out. The sea current power density values in these stations were 10.41, 4.92, and 7.91 W/m2 at 5 m depth, respectively. Besides, average sea current power density values were seen to be closely arranged with 11.44, 4.07, and 9.06 W/m2 at 35 depths, respectively. In addition, statistical analysis applying Weibull and Rayleigh models is also presented. It is shown that the use of a Weibull probability distribution facilitates the analysis of sea velocity conditions and is also able to predict the power density with a high degree of accuracy. The results of this study are useful for the understanding of marine hydrodynamics of these areas, where sea current power projects may be started in Turkey.

Keywords

References

  1. [1] Yıldızhan, Ş., Çalık, A., Özcanlı, M., Serin, H., (2018). Bio-composite materials: a short review of recent trends, mechanical and chemical properties, and applications. European Mechanical Science. 2(3): 83–91. doi: 10.26701/ems.369005.
  2. [2] Mbungu, N.T., Naidoo, R.M., Bansal, R.C., Siti, M.W., Tungadio, D.H., (2020). An overview of renewable energy resources and grid integration for commercial building applications. Journal of Energy Storage. 29(December 2019): 101385. doi: 10.1016/j.est.2020.101385.
  3. [3] Moriarty, P., Honnery, D., (2018). Global renewable energy resources and use in 2050. Managing Global Warming: An Interface of Technology and Human Issues. (November): 221–35. doi: 10.1016/B978-0-12-814104-5.00006-5.
  4. [4] Gielen, D., Boshell, F., Saygin, D., Bazilian, M.D., Wagner, N., Gorini, R., (2019). The role of renewable energy in the global energy transformation. Energy Strategy Reviews. 24(January): 38–50. doi: 10.1016/j.esr.2019.01.006.
  5. [5] Minesto., (2020). Ocean energy. https://minesto.com/about-us. [accessed December 12, 2020].
  6. [6] Kabir, A., Lemongo-Tchamba, I., Fernandez, A., (2015). An assessment of available ocean current hydrokinetic energy near the North Carolina shore. Renewable Energy. 80: 301–7. doi: 10.1016/j.renene.2015.02.011.
  7. [7] Bento, P.M.R., Pombo, J.A.N., Mendes, R.P.G., Calado, M.R.A., Mariano, S.J.P.S., (2021). Ocean wave energy forecasting using optimised deep learning neural networks. Ocean Engineering. 219(December 2019): 108372. doi: 10.1016/j.oceaneng.2020.108372.
  8. [8] Cenedese, C., n.d. Ocean current. https://www.britannica.com/science/ocean-current#ref301646. [accessed February 26, 2021].

Details

Primary Language

English

Subjects

Mechanical Engineering

Journal Section

Research Article

Publication Date

December 20, 2022

Submission Date

October 27, 2022

Acceptance Date

November 24, 2022

Published in Issue

Year 2022 Volume: 6 Number: 4

APA
Yıldırım, A. (2022). Statistical characteristics, probability distribution, and power potential of sea water velocity in Turkey. European Mechanical Science, 6(4), 285-297. https://doi.org/10.26701/ems.1195271

Cited By


Dergi TR Dizin'de Taranmaktadır.

Flag Counter