Wind Resource Assessment in Europe Using Emergy
نویسندگان
چکیده
منابع مشابه
Wind resource assessment of Khuzestan province in Iran
In this research paper, a 10 minute period measured wind speed data at 10 m, 30 m, and 40 m heights are presented for one of the major provinces of Iran. Four stations in Khuzestan- Abadan, Hosseyneh, Mahshahr, and Shushtar- are analyzed to determine the potential of wind power generation in this province. From the primary evaluation and by determining mean wind speed and also the Weibull f...
متن کاملWind resource assessment of Khuzestan province in Iran
In this research paper, a 10 minute period measured wind speed data at 10 m, 30 m, and 40 m heights are presented for one of the major provinces of Iran. Four stations in Khuzestan- Abadan, Hosseyneh, Mahshahr, and Shushtar- are analyzed to determine the potential of wind power generation in this province. From the primary evaluation and by determining mean wind speed and also the Weibull f...
متن کاملwind resource assessment of khuzestan province in iran
in this research paper, a 10 minute period measured wind speed data at 10 m, 30 m, and 40 m heights are presented for one of the major provinces of iran. four stations in khuzestan- abadan, hosseyneh, mahshahr, and shushtar- are analyzed to determine the potential of wind power generation in this province. from the primary evaluation and by determining mean wind speed and also the weibull funct...
متن کاملWind Energy Resource Assessment Using Wind Atlas and Meteorological Data for the City of Guelph, Canada
Abstract The ability to accurately assess renewable energy resources is an essential prerequisite to integrating renewable energy technologies into the energy supply portfolio of a community. This study investigates the potential for wind energy development in Guelph, a growing mid-size city in Southern Ontario, Canada. Community awareness of energy has led to the development of a Community Ene...
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ژورنال
عنوان ژورنال: Journal of Environmental Accounting and Management
سال: 2014
ISSN: 2325-6192,2325-6206
DOI: 10.5890/jeam.2014.12.006