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Long-Term Macro-Scale Assessment of Wave Power of Black Sea by an Optimized Numerical Model

  • Yasin Abdollahzadehmoradi
  • Mehmet Özger
  • Abdüsselam Altunkaynak
Research Paper
  • 202 Downloads

Abstract

Sea wave power is one of the cleanest renewable energy resources with the potential to mitigate the challenges of global warming and climate change while contributing to the ever-increasing energy demand. Studies show that wave energy production is closely related to wave height and wave period. Accordingly, the potential assessment and characterization of wave energy is vital for planning, production and utilization of wave energy. This study investigated the monthly, seasonal and annual wave energy characteristics of the Black Sea using the third-generation, state-of-the-art numerical model, MIKE 21 SW, based on 37 years of wind data obtained from the European Centre for Medium-Range Weather Forecasts. To set up the model and represent actual field conditions, computational mesh of the study domain was optimized and then the model was calibrated using data observed at nine points. According to the results of the study, the maximum mean monthly wave energy was obtained in the months of January and February. In terms of seasons, the maximum mean seasonal wave energy was observed in the winter. The analysis of the results at annual scale showed that the western part of the sea has more wave energy potential than the eastern part.

Keywords

Black Sea MIKE 21 SW Wave power potential ECMWF Wave data 

Notes

Acknowledgements

This research was funded by TÜBİTAK (The Scientific and Technological Research Council of Turkey) under the Project Number 112M413. We thank the European Centre for Medium-Range Weather Forecasts for providing the wind data and the Marine Geoscience Data System for providing the bathymetry data. In addition, we would like to thank Prof. Dr. Erdal Özhan for providing wave data of the Gelendzhik, Hopa and Sinop buoy stations.

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Copyright information

© Shiraz University 2018

Authors and Affiliations

  • Yasin Abdollahzadehmoradi
    • 1
  • Mehmet Özger
    • 1
  • Abdüsselam Altunkaynak
    • 1
  1. 1.Hydraulics Division, Department of Civil EngineeringIstanbul Technical UniversityIstanbulTurkey

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