Wind power statistics and an evaluation of wind energy density

Jamil, Majid; Parsa, Saeid; Majidi, Majid

doi:10.1016/0960-1481(95)00041-h

Cited by 190 publications

(81 citation statements)

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“…The most probable wind speed V mp (m/s) can be determined using the Weibull parameters k and c. The most probable wind speed is the most frequent wind speed for a given wind probability distribution and can be expressed as follows [25]:…”

Section: Most Probable Wind Speedmentioning

confidence: 99%

“…The average wind speed and the variance of wind velocity can be calculated on the basis of the Weibull parameters as follows [25]: …”

Section: Weibull Probability Density Functionmentioning

confidence: 99%

“…The wind speed with the maximum energy, V max;E , can be determined using the Weibull parameters k and c as follows [25]:…”

Section: Most Probable Wind Speedmentioning

confidence: 99%

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Wind resource assessment and wind power potential for the city of Ardabil, Iran

Fazelpour

Soltani

Rosen

2014

Int J Energy Environ Eng

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The results of an investigation of the potential of wind energy as a power source are reported for an Iranian north-western city, Ardabil. The Weibull probability distribution function using a long-term data source, consisting of 6 years (2005-2010) of 3-h period measured mean wind data, is adopted and analyzed. The data have been measured at a height of 10 m above the ground level. Also, monthly and annual wind speed variations are analyzed. The monthly mean wind speed is between 2.09 and 6.58 m/s, while the annual mean wind speed is in the range of 3.28-4.08 m/s. The Ardabil site is found to have good characteristics from the perspective of mean wind speed. The numerical values of the shape and scale parameters for Ardabil are seen to vary over a wide range. The monthly mean value of shape parameter (k) is between 2.62 and 3.17, while the monthly mean value of the Weibull scale parameter (c) is between 3.36 and 5.43 m/s. The results show that the months of October and September have higher mean power densities and that July has a lower mean power density than other months. Also, the wind potential of the studied region is determined to be very suitable for the off-grid connections and could be acceptable for connecting to power grids.

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Section: Most Probable Wind Speedmentioning

confidence: 99%

“…The average wind speed and the variance of wind velocity can be calculated on the basis of the Weibull parameters as follows [25]: …”

Section: Weibull Probability Density Functionmentioning

confidence: 99%

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Wind resource assessment and wind power potential for the city of Ardabil, Iran

Fazelpour

Soltani

Rosen

2014

Int J Energy Environ Eng

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“…A preliminary statistical analysis of the measurements was useful for identifying the relationships among the examined variables. Weibull and Rayleigh probability density function analyses, which have an acceptable accuracy level of many wind resource studies in different locations [16][17][18][19][20][21], were used to identify the representation of the wind speed frequency curve. In the Weibull distribution, the probability density function and the cumulative distribution indicate the variation in wind velocity.…”

Section: Wind Site Statistical Analysismentioning

confidence: 99%

Wind Energy Based Electric Vehicle Charging Stations Sitting. A GIS/Wind Resource Assessment Approach

Xydis

Nanaki

2015

Challenges

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Abstract:The transportation sector is severely correlated with major problems in environment, citizens' health, climate and economy. Issues such as traffic, fuel cost and parking space have make life more difficult, especially in the dense urban environment. Thus, there is a great need for the development of the electric vehicle (EV) sector. The number of cars in cities has increased so much that the current transportation system (roads, parking places, traffic lights, etc.) cannot accommodate them properly. The increasing number of vehicles does not affect only humans but also the environment, through air and noise pollution. According to EPA, the 39.2% of total gas emissions in 2007 was caused by transportation activities. Studies have shown that the pollutants are not only gathered in the major roads and/or highways but can travel depending on the meteorological conditions leading to generic pollution. The promotion of EVs and the charging stations are both equally required to be further developed in order EVs to move out of the cities and finally confront the range problem. In this work, a wind resource and a GIS analysis optimizes in a wider area the sitting of wind based charging stations and proposes an optimizing methodology. OPEN ACCESSChallenges 2015, 6 259

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“…Climate change could occur naturally as a result of a change in the sun's energy or Earth's orbital cycle (natural climate forcing). [2] Climate is always changed in different locations of the world. Evidence shows that climate has changed in the past, and nothing suggests that it will not continue to change [3].…”

Section: Introductionmentioning

confidence: 99%

Analytical Study of climate changes effect on wind speed in Al- Nasiriya, Iraq

2018

ijs

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The ambient temperature is the major parameter that influences wind speed. When temperature rises, air will be extended and wind will flow with different speeds in all directions, increasing of temperature means that wind speed will be increased and vice versa. The relative humidity and atmospheric pressure affected with temperature, too. Climate changes making significant effects on the atmospheric temperature. In this project, the data of thirty four years (1981 -2004) has been analyzed to get an idea about the changes occurred in the meteorological parameters in Al-Nasiriya city, which was chosen because it has a distinctive wind speed.

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Wind power statistics and an evaluation of wind energy density

Cited by 190 publications

References 1 publication

Wind resource assessment and wind power potential for the city of Ardabil, Iran

Wind resource assessment and wind power potential for the city of Ardabil, Iran

Wind Energy Based Electric Vehicle Charging Stations Sitting. A GIS/Wind Resource Assessment Approach

Analytical Study of climate changes effect on wind speed in Al- Nasiriya, Iraq

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