Numerical Wave Modeling and Wave Energy Estimation

  • G. Galanis
  • G. Zodiatis
  • D. Hayes
  • A. Nikolaidis
  • G. Georgiou
  • S. Stylianou
  • G. Kallos
  • C. Kalogeri
  • P. C. Chu
  • A. Charalambous
  • K. Savvidou
  • S. Michaelides
Conference paper
Part of the Springer Atmospheric Sciences book series (SPRINGERATMO)

Abstract

In a rapidly evolving operational and research framework concerning the global energy resources, new frontiers have been set for the scientific community working on environmental and renewable energy issues. In particular, new numerical techniques supporting the accurate estimation of renewable energy sources are highly emphasized. In this framework, wave energy – the energy that can be captured from sea waves – provides an alternative option with critical advantages. In the present paper, recent advances and some preliminary results obtained in two European projects will be discussed: Marina Platform and E-wave projects are focusing on the estimation of the wave energy potential in North Atlantic coastline of Europe and in Eastern Mediterranean Sea, respectively. Special emphasis is given to the utilization of numerical atmospheric and wave modeling systems able to accurately monitor the atmospheric and sea conditions in the area of interest. On the other hand, advanced statistical techniques are utilized for the local adaptation of the results and the estimation of the spatial and temporal distribution of the wave energy potential.

Keywords

Wave Energy Significant Wave Height Exclusive Economical Zone Regional Atmospheric Modeling System Ocean Forecast System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was supported by the E-wave project (funded by the Research Promotion Foundation of Cyprus, http://www.oceanography.ucy.ac.cy/ewave/) and the MARINA project (Seventh Framework Programme, Grant agreement number: 241402, http://www.marina-platform.info/).

References

  1. Bidlot JR, Janssen P, Abdalla S, Hersbach H (2007) A revised formulation of ocean wave dissipation and its model impact. ECMWF Technical Memorandum 509. ECMWF, Reading, UK, 27ppGoogle Scholar
  2. Eskridge RE, Ku JY, Rao ST, Porter PS, Zurbenko IG (1997) Separating different scales of motion in time series of meteorological variables. Bull Am Meteorol Soc 78(7):1473–1483. doi:10.1175/1520-0477(1997) 078<1473:SDSOMI>2.0.CO;2CrossRefGoogle Scholar
  3. Jansen PAEM (2000) ECMWF wave modeling and satellite altimeter wave data. In: Halpern D (ed.), Satellites, oceanography and society, Elsevier, New York, pp 35–36Google Scholar
  4. Kallos G (1997) The regional weather forecasting system SKIRON. In: Proceedings, symposium on regional weather prediction on parallel computer environments, Athens, Greece, 9pp, 15–17 Oct 1997Google Scholar
  5. Rao ST, Zurbenko IG, Neagu R, Porter PS, Ku JY, Henry RF (1997) Space and time scales in ambient ozone data. Bull Am Meteorol Soc 78(10):2153–2166. doi:10.1175/1520-0477(1997) 078<2153:SATSIA>2.0.CO;2CrossRefGoogle Scholar
  6. WAMDIG, The WAM-Development and Implementation Group: Hasselmann S, Hasselmann K, Bauer E, Bertotti L, Cardone CV, Ewing JA, Greenwood JA, Guillaume A, Janssen PAEM, Komen GJ, Lionello P, Reistad M, Zambresky L (1988) The WAM model - a third generation ocean wave prediction model. J Phys Oceanogr 18(12):1775–1810Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • G. Galanis
    • 1
    • 2
  • G. Zodiatis
    • 2
  • D. Hayes
    • 2
  • A. Nikolaidis
    • 2
  • G. Georgiou
    • 2
  • S. Stylianou
    • 2
  • G. Kallos
    • 1
  • C. Kalogeri
    • 1
  • P. C. Chu
    • 3
  • A. Charalambous
    • 4
  • K. Savvidou
    • 5
  • S. Michaelides
    • 5
  1. 1.Atmospheric Modeling and Weather Forecasting Group, Department of PhysicsUniversity of AthensAthensGreece
  2. 2.Oceanography CentreUniversity of CyprusNicosiaCyprus
  3. 3.Department of OceanographyNaval Postgraduate SchoolMontereyUSA
  4. 4.Cyprus Energy AgencyNicosiaCyprus
  5. 5.Meteorological Service of CyprusNicosiaCyprus

Personalised recommendations