Abstract
This study presents an integrated method for the estimation and analysis of potential wind-energy resources in Cyprus, which is applied at selected sites on the western side of the island. Firstly, a statistical analysis of wind speed and direction data was conducted at six meteorological stations in western Cyprus, establishing daily, monthly and annual variations of wind speed. Also examined were the Weibull distributions of the wind at each site. These wind statistics serve as the basis for estimating corrected statistical distributions over the extended study areas, which were calculated using the Wind Atlas Analysis and Application Program (WAsP) that modifies wind flow estimates based on local topographic effects. As a result, a geographic and wind-resource database was formulated around each station. Aggregation of this data using statistical weighting methods allows the extrapolation of observed results and the visualization for selected hours of the day over the western part of Cyprus. The results indicate the strong influence of the sea-breeze on the island’s wind potential, and identify a number of areas of higher wind-energy potential suitable for wind-resource exploitation. It is hoped that both the methodology applied and results obtained can be further used by potential investors and wind-energy developers.
[1] Akdag S. A. and Dinler A. (2009). A new method to estimate Weibull parameters for wind energy applications. Energy conversion and management, 50(7), 1761–1766. http://dx.doi.org/10.1016/j.enconman.2009.03.02010.1016/j.enconman.2009.03.020Search in Google Scholar
[2] Akylas E., Tombrou M., Panourgias J. and Lalas D. (1997). The use of common meteorological predictions in estimating short term wind energy production in complex terrain. In: Watson R, editor. Proceedings of European wind energy conference, Dublin Castle, Ireland, 1997. p. 329–32. Search in Google Scholar
[3] Akylas E., Lalas D. P., Pesmajoglou S., Sakellario N. and Tombrou M. (1999). Investigation of the effects of wind speed forecasts and economic evaluation of the increased penetration of wind energy for the island of Crete. In EWEC’99, p. 1074–1077. Search in Google Scholar
[4] Akylas E., Tombrou M., Lalas D. and Zilitinkevich S., Surface fluxes under shear-free convection, Q.J.R.Meteorol. Soc. 127, 2001, 1183–1197 http://dx.doi.org/10.1002/qj.4971275740310.1002/qj.49712757403Search in Google Scholar
[5] Akylas E., Tsakos Y., Tombrou M. and Lalas D., Considerations on minimum friction velocity, Q.J.R.Meteorol. Soc. 129, 2003, 1929–1943 http://dx.doi.org/10.1256/qj.01.7310.1256/qj.01.73Search in Google Scholar
[6] Akylas E. and Tombrou M., Reconsidering a generalized interpolation between the Kansas type formulae and free convection forms, Boundary-Layer Met. 15, 2005, 381–398 http://dx.doi.org/10.1007/s10546-004-1426-310.1007/s10546-004-1426-3Search in Google Scholar
[7] Akylas E., Zavros P., Skarlatos D. and M. Fyrillas (2010). Weibull distribution and wind speed timeseries, 3rd International Conference of the ERCIM, 10-12 December 2010, London, UK, abstract E756. Search in Google Scholar
[8] Alexakis D., Agapiou A., Tzouvaras M., Themistocleous K., Neocleous K., Michaelides S. and Hadjimitsis D. G., Integrated use of Remote Sensing and GIS for monitoring Landslides in transportation pavements: risk assessment study of Paphos area in Cyprus, Natural Hazards, Journal of the International Society for the Prevention and Mitigation of Natural Hazards, (2013), DOI10.1007/s11069-013-0770-3. Search in Google Scholar
[9] Beller C. (2009). Urban wind energy-state of the art 2009. Danmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi. Search in Google Scholar
[10] Chompoo-inwai C., Leelajindakrairerk M., Banjongjit P. F., and Wei-Jen L. (2008). Design optimization of Wind Power planning for a country with low-medium-wind-speed profile. IEEETrans. Indus. Applic. 44:1341–1347. http://dx.doi.org/10.1109/TIA.2008.200217710.1109/TIA.2008.2002177Search in Google Scholar
[11] Christofe A., Neocleous K., Themistocleous K., Agapiou A. and Hadjimitsis D. G., (2013). “Use of GIS for the development of digital structural integrity maps of high risk areas in Cyprus due to corrosion of steel reinforcement”, in First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013), Diofantos G. Hadjimitsis; Kyriacos Themistocleous; Silas Michaelides; George Papadavid, Editors, Proceedings of SPIE Vol. 8795 (SPIE, Bellingham, WA 2013), 87951U. Search in Google Scholar
[12] Georgiou A., Polatidis H., and Dias Haralambopoulos. “Wind energy resource assessment and development: Decision analysis for site evaluation and application.” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 34.19 (2012): 1759–1767. http://dx.doi.org/10.1080/15567036.2011.55952110.1080/15567036.2011.559521Search in Google Scholar
[13] Grguric S., Krizan J., Gasparac G., Spiric Z., Antonic O., Mamouri R.E., Christodoulou A., Nisantzi A., Agapiou A., Themistocleous K., Fedra K., Panayiotou C. and Hadjimitsis D., Relationship between MODIS AOD (Aerosol Optical Depth) and PM10 over Croatia Central European Journal of Geosciences. CEJGD-13-00028R (2013) 10.2478/s13533-012-0135-6Search in Google Scholar
[14] Gungor A. and Eskin N. (2008). The characteristics that define wind as an energy source. Energy Sources, Part A: Recovery, Utilization and Environmental Effects 30:842–855. http://dx.doi.org/10.1080/1556703060108241510.1080/15567030601082415Search in Google Scholar
[15] Hadjimitsis D.G., Agapiou A., Alexakis D. and Sarris A., Exploring natural and anthropogenic risk for cultural heritage in Cyprus using remote sensing and GIS, International Journal of Digital Earth DOI:10.1080/17538947.2011.602119 (2013) 10.1080/17538947.2011.602119Search in Google Scholar
[16] Jacovides C. P., Theophilou C., Tymvios F. S. & Pashiardes S. (2002). Wind statistics for coastal stations in Cyprus. Theoretical and applied climatology, 72(3–4), 259–263. http://dx.doi.org/10.1007/s00704-002-0676-610.1007/s00704-002-0676-6Search in Google Scholar
[17] Lee A. H. I., Chen H. H. and Kang H. (2009). Multicriteria decision making on strategy selection of wind farms. Renew. Energy 34:120–126. http://dx.doi.org/10.1016/j.renene.2008.04.01310.1016/j.renene.2008.04.013Search in Google Scholar
[18] Mortensen G. N., Heathfield N. D., Myllerup L., Landberg L. and Rathmann O. (2004). Getting Started with WAsP, Roskilde, Denmark: Risø National Laboratory. Search in Google Scholar
[19] Papadavid G., Agapiou A., Michaelides S. and Hadjimitsis D.G. The integration of meteorology and remote sensing for monitoring irrigation demand in Cyprus, Natural Hazards and Earth System Sciences Journal, 9(6), pp. 2009–2014 (2009) doi:10.5194/nhess-9-2009-200 http://dx.doi.org/10.5194/nhess-9-2009-2009Search in Google Scholar
[20] Papadavid G., Fasoula D., Hadjimitsis M., Perdikou P.S., Hadjimitsis D.G., Image based remote sensing method for modeling black-eyed beans (Vigna unguiculata) Leaf Area Index (LAI) and Crop Height (CH) over Cyprus, Central European Journal of Geosciences, (2013). 10.2478/s13533-012-0112-0Search in Google Scholar
[21] Pashardes S. and Christofides C. (1995). Statistical analysis of wind speed and direction in Cyprus. Solar Energy 55:405–414. http://dx.doi.org/10.1016/0038-092X(95)00064-X10.1016/0038-092X(95)00064-XSearch in Google Scholar
[22] Seguro J. V., & Lambert T. W. (2000). Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis. Journal of Wind Engineering and Industrial Aerodynamics, 85(1), 75–84. http://dx.doi.org/10.1016/S0167-6105(99)00122-110.1016/S0167-6105(99)00122-1Search in Google Scholar
[23] Themistocleous K., Agapiou A., Papachristodoulou A., Evlogimenos P., Theodorou M., Sotiropoulos P., Maroulakis S., Karaolides C., Hadjimitsis M., Onoufriou T. and Hadjimitsis D.G., “Geo-radar scanning and GIS mapping of an old water utility network in Paphos district area in Cyprus under the project: ‘Upgrade of the hydraulics laboratory for the modeling of water supply networks and design and operation optimization study’”, in First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013), Diofantos G. Hadjimitsis; Kyriacos Themistocleous; Silas Michaelides; George Papadavid, Editors, Proceedings of SPIE Vol. 8795 (SPIE, Bellingham, WA 2013), 879527 10.1117/12.2029102Search in Google Scholar
© 2014 Versita Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.