






Vol.3 , No. 2, Publication Date: May 16, 2018, Page: 54-60
[1] | Mohamed Hatim Ouahabi, Department of Physics, Abdelmalek Essaadi University, Tetouan, Morocco. |
[2] | Higinio Sánchez Sáinz, Department of Electrical Engineering, Cadiz University, Puerto Real, Spain. |
[3] | Luis M. Fernández-Ramírez, Department of Electrical Engineering, Cadiz University, Algeciras, Spain. |
Wave energy appears to be one of the most promising sources of the renewable energy. The research on wave energy resource assessment is particularly advanced in countries which have seashores, where access to the wave energy potential is possible. For this reason, this paper presents an assessment of wave resource characterization and wave energy potential in Gulf of Cadiz in Spain, using two different data namely, the measured data of buoy and numerical modeling data of ocean wave model (WAM). The available used data are gathered from the Spanish Port Authority for a period of twelve years (2005-2016). The annual average wave power (AAWP) was found 4.948 kW/m for the buoy, which is equivalent of 43.35 MWh/m. For the modeling data the AAWP was found 4.665 kW/m, which is equivalent to 40.87 MWh/m. These results confirming the slight under-prediction of (5.7%). The numerical simulations data were compared with those measured at the buoy for each month, during the twelve year to test their accuracy, based on common statistical indicators for performance for both the average significant wave height and average wave energy period. Their results showed a fairly good match results with them and the numerical modeling found can be an alternative model which provides more accurate and efficient wave characteristics for evaluation the wave energy conversion in this area.
Keywords
Wave Resource Characterization, Wave Power, Wave Energy, Numerical Modeling
Reference
[01] | Duckers L. Wave energy. In: Boyle G, editor. Renewable energy. Oxford University Press [chapter 8]). |
[02] | Gleizon, P., Campuzano F. J., Carracedo García, P., Gomez B., & Martinez, A. (2015). Wave energy mapping along the European Atlantic coast. In Proceedings of the 11th European Wave and Tidal Energy Conference, Nantes, France. |
[03] | JCOMM. (2014). Joint WMO-IOC technical commission for oceanography and marine meteorology wave measurement evaluation and test. Retrieved from http://www.jcomm.info/index.php?option=com_content&view=article&id=62. |
[04] | Hasselmann K. The WAM model – a third generation ocean wave prediction model. Journal of Physical Oceanography 1988; 18 (12): 1775–810. |
[05] | WAMDI Group. The WAM model e a third generation ocean wave prediction model. J Phys Oceanogr 1988; 18: 1775-810. |
[06] | M. H. Ouahabi, F. Benabdelouahab, A. Khamlichi. Analyzing wind speed data and wind power density of Tetouan city in Morocco by adjustment to Weibull and Rayleigh distribution functions. Wind Engineering, vol. 41, no. 3, pp. 174-184, May 2017. |
[07] | Cornett AM. A global wave energy resource assessment. In: International Offshore and Polar Engineering Conference, Vancouver, Canada; 2008. pp. 318-26. |
[08] | A. M. Cornett, A global wave energy resource assessment, in: International Offshore and Polar Engineering Conference, Vancouver, Canada, 2008, pp. 318-326. |
[09] | S. Boronowski, P. Wild, A. Rowe, G. C. van Kooten, Integration of wave power in HaidaGwaii, Renew. Energy 35 (2010) 2415-3242. |
[10] | Akpinar EK and Akpinar S (2005) A statistical analysis of wind speed data used in installation of wind energy conversion systems. Energy Conversion and Management 46: 515–532. |
[11] | Fyrippis I, Axaopoulos PJ and Panayiotou G (2010) Wind energy potential assessment in Naxos Island, Greece. Applied Energy 87: 577–586. Gulersoy T and Cetin N (2010) Menemen Bolgesinde Ruzgar Turbinleri Icin Rayleigh ve Weibull Dağılımlarının Kullanılması. Journal of Polytechnic 13: 209–213. |
[12] | A. M. Cornett, A global wave energy resource assessment, in: International Offshore and Polar Engineering Conference, Vancouver, Canada, 2008, pp. 318-326. |