Wind energy potential assessment for KPT with a comparison of different methods of determining Weibull parameters

Purpose The purpose of this paper is to assess the wind resource and energy potential of the Sanghar site for minimizing the dependence on fossil fuels and improving the environment. Design/methodology/approach The Sanghar site wind shear coefficient and turbulence intensity factor are investigated for a period of a year. The two-parameter k and c Weibull distribution function is used to analyze the wind speed of the Sanghar site. The standard deviation, coefficient of variation, wind power density and energy density; and capacity factor was assessed for a period of a year. The economic assessment of energy/kWh is investigated for the selection of appropriate wind turbines. Findings The mean wind shear of the Sanghar site was found to be 0.2509. The mean wind speed was found to be 4.766, 5.534 and 6.121 at 20, 40 and 60 m above the ground level. The mean value of the k parameter was observed to be 2.433, 2.777 and 2.862 at 20, 40 and 60 m for a period of a year. The Weibull c m/s parameter was found to be 5.377, 6.245 and 6.906 m/s at 20, 40 and 60 m. The major portion of values of standard deviation was found to be in between 0.1 to 2.00 at 20, 40 and 60 m. The mean wind power density values were observed to be 88.33, 93.5 and 110.16 W/m2 at 20, 40 and 60 m; respectively, for a period of a year. The mean coefficient of variation was found to be 0.1478, 0.1205 and 0.1033 at 20, 40 and 60 m; respectively. The mean energy density was found to be 476.75, 683.08 and 866.33 kWh/m2 at 20, 40 and 60 m; respectively. The mean capacity factor for different wind turbines was ranged between 18 to 24.83 for a period of a year. The economic assessment showed that wind turbine B has the minimum cost (US$) 0.0484/kWh. Practical implications The assessment provides the solution to sustainable energy generation which reduces the consumption of fuel and the effect of fluctuating price of fuel in the world market on local consumers. Social implications Wind energy may have social implications including environmentally friendly, consistent supply of energy during the peak summer season, less unit per cost, etc. Originality/value The Sanghar site is new and assessed for the first time in this research work. The Sanghar site is suitable for installing utility wind turbines for energy generation at the lowest cost.

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“…The coefficient of variation of wind speed is calculated by the following equation (Hulio and Jiang, 2019b): …”

Section: Methods and Site Descriptionmentioning

confidence: 99%

Statistical analysis of wind resource and energy potential assessment of Sanghar site, Sindh Pakistan

Hulio

Jiang

Khan

2021

IJESM

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“…Turbulence intensity (TI) generally considered as pointer of turbulence but not as absolute value. It is expressed by the following equation (Hulio and Jiang, 2020):here σ refers to the standard deviation and V refers to the wind speed.…”

Section: Methods and Site Descriptionmentioning

confidence: 99%

“…The coefficient of variation of wind speed is calculated by the following equation (Hulio and Jiang, 2020):…”

Section: Methods and Site Descriptionmentioning

confidence: 99%

Wind resource and energy potential assessment of the Sujawal site, Sindh Pakistan

Hulio

2020

WJSTSD

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PurposeThe objective of this paper to assess the wind energy potential of the Sujawal site for minimizing the dependence on fossil fuels.Design/methodology/approachThe site-specific wind shear coefficient and the turbulence model were investigated. The two-parameter, k and c, Weibull distribution function was used to analyze the wind speed of the Sujawal site. The standard deviation of the site was also assessed for a period of a year. Also, the coefficient of variation was carried out to determine the difference at each height. The wind power and energy densities were assessed for a period of a year. The economic assessment of energy/kWh was investigated for selection of appropriate wind turbine.FindingsThe mean wind shear of the Sujawal site was found to be 0.274. The mean wind speed was found to be 7.458, 6.911, 6.438 and 5.347 at 80, 60, 40 and 20 m, respectively, above the ground level (AGL). The mean values of k parameter were observed to be 2.302, 2.767, 3.026 and 3.105 at 20, 40, 60 and 80 m, respectively, for a period of a year. The Weibull c m/s parameter values were found to be 8.415, 7.797, 7.265 and 6.084 m/s at 80, 60, 40 and 20 m, respectively. The mean values of standard deviation were found to be 0.765, 0.737, 0.681 and 0.650 at 20, 40, 60, and 80 m, respectively. The mean wind power density (W/m2) was found to be 287.33, 357.16, 405.16 and 659.58 for 20, 40, 60 and 80 m, respectively. The economic assessment showed that wind turbine 7 had the minimum cost/kWh US$ 0.0298.Originality/valueThe Sujawal site is suitable for installing the utility wind turbines for energy generation at the lowest cost; hence, a sustainable solution.

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“…The coefficient of variation of wind speed (m/s) can be calculated by the following equation (Hulio and Jiang, 2019b):…”

Section: Assessment Of Coefficient Of Variationmentioning

confidence: 99%

Statistical analysis of wind resource and energy potential assessment of Quaidabad site, Sindh Pakistan

Hulio

Yousufzai

Jiang

2021

JEDT

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Purpose Pakistan is an energy starving country that needs continuous supply of energy to keep up its economic speed. The aim of this paper is to assess the wind resource and energy potential of Quaidabad site for minimizing the dependence on fuels and improving the environment. Design/methodology/approach The Quaidabad site wind shear coefficient and turbulence intensity factor are investigated. The two-parameter k and c Weibull distribution function is used to analyze the wind speed of site. The standard deviation of the site is also assessed for a period of a year. The wind power density and energy density are assessed for a period of a year. The economic assessment of energy/kWh is investigated for selection of appropriate wind turbine. Findings The mean wind shear coefficient was observed to be 0.2719, 0.2191 and 0.1698 at 20, 40 and 60 m, respectively, for a period of a year. The mean wind speed is found to be 2.961, 3.563, 3.907 and 4.099 m/s at 20, 40, 60 and 80 m, respectively. The mean values of k parameters were observed to be 1.563, 2.092, 2.434 and 2.576 at 20, 40, 60 and 80 m, respectively, for a period of a year. The mean values of c m/s parameter were found to be 3.341, 4.020, 4.408 and 4.625 m/s at 20, 40, 60 and 80 m, respectively, for a period of a year. The major portion of values of standard deviation was found to be in between 0.1 and 2.00 at 20, 40, 60 and 80 m. The wind power density (W/m2) sum total values were observed to be 351, 597, 792 and 923 W/m2 at 20, 40, 60 and 80 m, respectively, for a period of a year. The mean coefficient of variation was found to be 0.161, 0.130, 0.115 and 0.105 at 20, 40, 60 and 80 m, respectively. The sum total energy density was observed to be 1,157, 2,156, 2,970 and 3,778 kWh/m2 at 20, 40, 60 and 80 m, respectively. The economic assessment is showing that wind turbine E has the minimum cost US$0.049/kWh. Originality/value The Quaidabad site is suitable for installing the utility wind turbines for energy generation at the lowest cost.

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Wind energy potential assessment for KPT with a comparison of different methods of determining Weibull parameters

Cited by 10 publications

References 38 publications

Statistical analysis of wind resource and energy potential assessment of Sanghar site, Sindh Pakistan

Statistical analysis of wind resource and energy potential assessment of Sanghar site, Sindh Pakistan

Wind resource and energy potential assessment of the Sujawal site, Sindh Pakistan

Statistical analysis of wind resource and energy potential assessment of Quaidabad site, Sindh Pakistan

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