Abstract: . . .  mean a value of the wind power of 2.2€c/kWh just for the fossil fuel saved. Keep in mind that this is dependent on the power plant mix that is assumed. The installed wind power capacity replaces at this stage somewhat more than 10% of the installed capacity. WIND POWER FROM AROUND EUROPE The smoothing effects can be even higher when wind power from even further away is taken into account. Not only is the distance higher, and thereby the normal smoothing due to the size of the weather patterns, another effect comes in when looking at the northern African countries: they are actually in different climatic . . .
. . .  wind speeds. Thanks to the Kyoto mechanisms, wind power in third world countries can help developed nations reduce their greenhouse gas emissions, while lowering pollution from fossil fuels in these countries. In the regions with very high wind speeds, the population density is usually rather low, ie large-scale installations are possible. The investment in these regions could be rather large, creating local employment for erection and maintenance, and probably even production of turbines (since it often is cheaper to build a wind turbine production line for a very large farm locally than to transport . . .
. . .  Dakhla (West Sahara) is shown. One can see that instead of the typical Weibull distributions we are used to from the higher latitudes, the data is nearly Gaussian in shape, neither showing significant portion of low winds or of very high wind speeds (where the turbine would shut down, ie >25 m/s). The distribution is even more remarkable since it is from only 9 m above ground level (a.g.l.) results from Reanalysis data for 50 years confirm this picture. The wind data fits in well with the results of the MED2010 project6, where measurements were presented for a site further up the coast, on Cap Sim . . .
. . .  http://www.gtz.de/wind/deutsch/studien_download.htm ECMWF Re-Analysis (ERA) Project, European Centre for Medium-Range Weather Forecasts, Reading, UK, 1996. See also http://www.ecmwf.int/research/era/ 9 http://uccee.org/WindCDM/index.htm Mortensen, N.G., U.S. Said, H.P. Frank, L. Georgy, C.B. Hasager, M. Akmal, J.C. Hansen, A.A. 10 Salam: Wind Atlas for the Gulf of Suez. Measurements and Modelling 1991-2001. New & Renewable Energy Authority, Nasr City, Cairo, Egypt (2003). ISBN 87-550-3195-1  . . .
. . .  Forecasts, Reading, UK, 1996. See also http://www.ecmwf.int/research/era/ 9 http://uccee.org/WindCDM/index.htm Mortensen, N.G., U.S. Said, H.P. Frank, L. Georgy, C.B. Hasager, M. Akmal, J.C. Hansen, A.A. 10 Salam: Wind Atlas for the Gulf of Suez. Measurements and Modelling 1991-2001. New & Renewable Energy Authority, Nasr City, Cairo, Egypt (2003). ISBN 87-550-3195-1  . . .
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