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Al-Yahyai S.,Public Authority for Civil Aviation | Roshan G.,Golestan University | Ghanghermeh A.,Golestan University
International Journal of Sustainable Energy | Year: 2014

This paper investigates the wind energy potential over 42 sites in Iran. Ten years of wind data (1996-2005) were used from weather stations located at these sites. Different criteria were considered, including vertical wind profile, wind power density (WPD), wind frequency distribution, wind sustainability, seasonal variation, turbulence intensity and peak demand matching. Air density and roughness length, which play important role in the calculation of the WPD potential, were derived for each station site. Simple scoring was used to rank the mostly windy sites. It is concluded that Sistan and Bluchistan governorate (Zabol) has the highest potential. Zahedan, Jazireh Kish and Ardebil also have high wind power potential. © 2014 © 2014 Taylor & Francis.

Al-Khadouri A.,Public Authority for Civil Aviation | Al-Yahyai S.,Public Authority for Civil Aviation | Charabi Y.,Sultan Qaboos University
Arabian Journal of Geosciences | Year: 2014

The impact of the air pollution generated by any industrial activities may be further aggravated if the location of the industrial area is exposed to certain atmospheric characteristics. Under such conditions, the likelihood of accumulation of local air pollution is high. This paper uses two approaches (statistical and numerical simulation) to investigate the contribution of atmospheric processes towards degradation of air quality. A case study of the two approaches was conducted over Sohar Industrial Area in the Sultanate of Oman. Measured wind data were used to account for specific atmospheric characteristics such as stagnation, ventilation, and recirculation using the statistical approach. In the second approach, numerical weather prediction model was used to simulate mesoscale circulation phenomena such as sea breeze and its contribution to the processes affecting the air quality. The study demonstrates that the atmospheric processes appear to contribute substantially to the degradation of air quality in the Sohar Industrial Area. The statistical analysis shows that the atmospheric dilution potential of Sohar Industrial Area is prone to stagnation and recirculation, rather than ventilation. Moreover, model simulation shows that there is a seasonal variation in the contribution of atmospheric processes to the degradation of the air quality at Sohar Industrial Area. © 2014 Saudi Society for Geosciences.

Al-Yahyai S.,Public Authority for Civil Aviation | Charabi Y.,Sultan Qaboos University | Gastli A.,Qatar University
2013 7th IEEE GCC Conference and Exhibition, GCC 2013 | Year: 2013

The main objective of this study is to conduct an optimal micro-siting of 1kW wind turbine to provide electricity for the eco-house project at Sultan Qaboos University (SQU). The study utilizes the Numerical Weather Prediction models data to provide the required wind information. WAsP application is used to calculate the wind climatology and the annual energy production. It was found the closest potential site can generate 1.945MW at 10m and 2.938MW at 30m above the ground. On the other hand, the farthest potential site which is around 45m away from the eco-house can generate 1.449MW and 3.150MW at 10m and 30m above the ground respectively. © 2013 IEEE.

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