Assessing wind energy potential in Kurdistan province, Iran

Asl, Saeed Jahanbakhsh; Banafsheh, Majid Rezaei; Dinpashoh, Yagob; Esmaeilpour, Marziyeh; Mohammadi, Kasra; Khorshiddoust, Ali Mohammad

doi:10.1007/s40095-014-0100-x

Cited by 6 publications

(4 citation statements)

References 28 publications

(31 reference statements)

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“…According to Weibull distribution, the average wind speed, and standard deviation also at stations elevations or at selected heights can be estimated as [7,8, and 12, PP. 69-71]:…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

“…According to the Weibull distribution, the Weibull estimated wind power density and wind energy density at any height, can be expressed as [6,7]:…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

“…In Kurdistan province, Iran, the wind energy potential at different heights with six methods for five stations was assessed [7]. The annual shape and scale factors were estimated.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Annual Wind Energy Potential at Three Sites in Iraq for Wind Energy Applications

Rasham¹

2017

IJCA

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Assessment of annual wind energy potential for three selected sites in Iraq has been analyzed in the present work. The wind velocities data from August 2014 to July 2015 were collected from the website of Weather Underground Organization (WUO) at stations elevation (35m, 32m, and 17m) for Baghdad, Najaf, and Kut Al-Hai respectively. Extrapolation of stations elevation and wind velocities was used to estimate wind velocities at (60m, 90m, and 120m). The objectives are to analyze the wind speed data and assess the wind energy potential for wind energy applications. Computer code for MATLAB software has been developed to solve the mathematical model. The results are presented as a monthly and annual average for wind velocities, standard deviation, shape factor, scale factor, probability density function, cumulative distribution function, measured and Weibull estimated of wind power density, wind energy density, determination factor, and root mean square error. A comparison is made with the previous studies to select wind class of selected sites in the present work. At selected stations, the wind energy potential was the best for Najaf, Kut Al-Hai, and Baghdad respectively. According to the international wind classification, the selected sites has fair class at stations elevation. Kut Al-Hai has fairly good class at selected heights. While Najaf have fairly good at (90m, and 120m) whereas Baghdad has a fairly good class just at (120 m).

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“…According to Weibull distribution, the average wind speed, and standard deviation also at stations elevations or at selected heights can be estimated as [7,8, and 12, PP. 69-71]:…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

“…According to the Weibull distribution, the Weibull estimated wind power density and wind energy density at any height, can be expressed as [6,7]:…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

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Assessment of Annual Wind Energy Potential at Three Sites in Iraq for Wind Energy Applications

Rasham¹

2017

IJCA

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“…Several methods were used to estimate the Weibull parameters. Six methods (Probability weighted moments, graphical method, Empirical method, Moment method, Maximum Likelihood method, and Energy Pattern factor method) of Weibull distribution were used to calculate the average of wind speed, standard deviation, shape factor, scale factor, most probable wind speed, wind speed carrying maximum energy, wind power density, and wind energy density [7]. Graphical method [4, and 8] and Empirical method [6, and 9] were used to evaluate Weibull parameters.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Wind Speed Data and Annual Energy Potential at Three locations in Iraq

Rasham¹

2016

IJCA

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Analysis of wind speed data and annual wind energy potential at three selected sites in Iraq has been investigated in this study. The wind speed data was collected from the Weather Underground Organization (WUO) at stations elevation. Extrapolation of stations elevations used to estimate the wind velocities at 60 m, 90 m, and 120 m via wind shear law. The objectives were to analysis of wind speed data and to assess the wind energy potential for the selected sites. Computer code for MATLAB software has been developed and written to solve mathematical model. Results in the form of the measured and Weibull estimated of monthly and annual average of wind velocities ( , wind shear, wind velocity carrying maximum energy ( , most probable wind velocity ( , probability density function (PDF), cumulative distribution function (CDF), monthly and annual wind power density (WPD) and wind energy density (WED) were presents. At stations elevation, the (WED) was the best for Basrah, Amarah, and Nasiriyah respectively and the selected sites are suitable for off grid applications. While at selected heights it was best for Basrah, Nasiriyah, and Amarah respectively. Basrah at (60, 90, 120 m) and Nasiriyah at (120) are acceptable for connecting to power grid. KeywordsWeibull distribution, assessment of wind resource, Wind energy potential, Analysis of wind speed data.

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Optimizing layout of wind farm turbines using genetic algorithms in Tehran province, Iran

Khanali

Ahmadzadegan

Omid

et al. 2018

Int J Energy Environ Eng

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Installation layout of wind turbines plays a prominent role in the design of every wind farm. Thus, the wind farm layout optimization problem is proposed to maximize the total power output with the minimum cost. In this research, Kahrizak region in Tehran province of Iran is selected as a windy region and its real wind speed data are gleaned. Three different scenarios are also considered, with various number of generations and populations for GA parameters, effective distances, and longitude and latitude distances of turbines from each other. Among these scenarios, the best result is obtained for the one in which the longitudinal distance between turbines is greater than the latitudinal distance. By observing the wind rose of Kahrizak region, it is observed that the dominant wind direction of the region is toward the east and southeast. Therefore, by increasing the longitudinal distance of the turbines from each other, the efficiency can be improved and the turbine layout becomes more realistic. In this case, the efficiency rate and normalized cost of turbines are 89.5% and 37.4, respectively, and also 56 turbines are needed. The amounts of efficiency and power output are very convenient for real wind speed data of a region.

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Assessing wind energy potential in Kurdistan province, Iran

Cited by 6 publications

References 28 publications

Assessment of Annual Wind Energy Potential at Three Sites in Iraq for Wind Energy Applications

Assessment of Annual Wind Energy Potential at Three Sites in Iraq for Wind Energy Applications

Analysis of Wind Speed Data and Annual Energy Potential at Three locations in Iraq

Optimizing layout of wind farm turbines using genetic algorithms in Tehran province, Iran

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