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A. Uçar, F. Balo (2009)
Evaluation of wind energy potential and electricity generation at six locations in TurkeyApplied Energy, 86
Murat Gökçek, A. Bayülken, Şükrü Bekdemir (2007)
Investigation of wind characteristics and wind energy potential in Kirklareli, TurkeyRenewable Energy, 32
S. Shami, Jameel Ahmad, R. Zafar, Muhammad Haris, S. Bashir (2016)
Evaluating wind energy potential in Pakistan's three provinces, with proposal for integration into national power gridRenewable & Sustainable Energy Reviews, 53
M. Lee, Gunwoo Kim, Shin-Taek Jeong, D. Ko, Keum-Seok Kang (2013)
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A. Mostafaeipour (2010)
Feasibility study of harnessing wind energy for turbine installation in province of Yazd in IranRenewable & Sustainable Energy Reviews, 14
Ebubekir Fırtın, Ö. Güler, S. Akdağ (2011)
Investigation of wind shear coefficients and their effect on electrical energy generationApplied Energy, 88
M. Sheikh (2010)
Energy and renewable energy scenario of PakistanRenewable & Sustainable Energy Reviews, 14
Meishen Li, Xianguo Li (2005)
Investigation of wind characteristics and assessment of wind energy potential for Waterloo region, Canada.Energy Conversion and Management, 46
Tiaon Aukitino, M. Khan, M. Ahmed (2017)
Wind energy resource assessment for Kiribati with a comparison of different methods of determining Weibull parametersEnergy Conversion and Management, 151
M. Irwanto, N. Gomesh, M. Mamat, Y. Yusoff (2014)
Assessment of wind power generation potential in Perlis, MalaysiaRenewable & Sustainable Energy Reviews, 38
Zahid Hulio, Wei-Zhe Jiang (2017)
Wind climate parameters, performance and reliability assessment of wind energy farmInternational Journal of Energy Sector Management, 11
Jie Wu, Jianzhou Wang, Dezhong Chi (2013)
Wind energy potential assessment for the site of Inner Mongolia in ChinaRenewable & Sustainable Energy Reviews, 21
I. Ullah, Q. Chaudhry, A. Chipperfield (2010)
An evaluation of wind energy potential at Kati Bandar, PakistanRenewable & Sustainable Energy Reviews, 14
Jiang Wei, Zahid Hulio, Haroon Rashid (2018)
Site specific assessment of wind characteristics and determination of wind loads effects on wind turbine components and energy generationInternational Journal of Energy Sector Management
Zahid Hulio, Wei-Zhe Jiang, S. Rehman (2017)
Technical and economic assessment of wind power potential of Nooriabad, PakistanEnergy, Sustainability and Society, 7
P. Wais (2017)
A review of Weibull functions in wind sectorRenewable & Sustainable Energy Reviews, 70
A. Lashin, A. Shata (2012)
An analysis of wind power potential in Port Said, EgyptRenewable & Sustainable Energy Reviews, 16
S. Rehman, N. Al-Abbadi (2008)
Wind shear coefficient, turbulence intensity and wind power potential assessment for Dhulom, Saudi ArabiaRenewable Energy, 33
A. Keyhani, M. Ghasemi-Varnamkhasti, M. Khanali, R. Abbaszadeh (2010)
An assessment of wind energy potential as a power generation source in the capital of Iran, TehranEnergy, 35
V. Katinas, Mantas Marčiukaitis, Giedrius Gecevičius, A. Markevičius (2017)
Statistical analysis of wind characteristics based on Weibull methods for estimation of power generation in LithuaniaRenewable Energy, 113
A. Dahmouni, M. Salah, F. Askri, C. Kerkeni, S. Nasrallah (2011)
Assessment of wind energy potential and optimal electricity generation in Borj-Cedria, TunisiaRenewable & Sustainable Energy Reviews, 15
S. Akdağ, A. Dinler (2009)
A new method to estimate Weibull parameters for wind energy applicationsEnergy Conversion and Management, 50
Ijjou Tizgui, Fatima Guezar, H. Bouzahir, B. Benaid (2017)
Comparison of methods in estimating Weibull parameters for wind energy applicationsInternational Journal of Energy Sector Management, 11
S. Chandel, P. Ramasamy, K. Murthy (2014)
Wind power potential assessment of 12 locations in western Himalayan region of IndiaRenewable & Sustainable Energy Reviews, 39
B. Yaniktepe, Tahsin Koroglu, M. Savrun (2013)
Investigation of wind characteristics and wind energy potential in Osmaniye, TurkeyRenewable & Sustainable Energy Reviews, 21
A. Ahmed (2012)
Potential wind power generation in South EgyptRenewable & Sustainable Energy Reviews, 16
E. Akpinar, S. Akpinar (2005)
An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristicsEnergy Conversion and Management, 46
Ž. Đurišić, J. Mikulović (2012)
Assessment of the wind energy resource in the South Banat region, SerbiaRenewable & Sustainable Energy Reviews, 16
Marcel Soulouknga, S. Doka, N.Revanna, N. Djongyang, T. Kofané (2018)
Analysis of wind speed data and wind energy potential in Faya-Largeau, Chad, using Weibull distributionRenewable Energy
S. Rehman, N. Al-Abbadi (2005)
Wind shear coefficients and their effect on energy productionEnergy Conversion and Management, 46
Zahid Hulio, Wei-Zhe Jiang (2018)
Site-specific technical and economic analysis of wind power potential and energy generation using Weibull parametersWorld Journal of Science, Technology and Sustainable Development, 15
T. Ouarda, C. Charron, Ju-young Shin, P. Marpu, Abdullah Al-Mandoos, M. Al-Tamimi, H. Ghedira, T. Hosary (2015)
Probability distributions of wind speed in the UAEEnergy Conversion and Management, 93
Soon-Duck Kwon (2010)
UNCERTAINTY ANALYSIS OF WIND ENERGY POTENTIAL ASSESSMENTApplied Energy, 87
P. Wais (2017)
Two and three-parameter Weibull distribution in available wind power analysisRenewable Energy, 103
Y. Himri, S. Rehman, A. Setiawan, S. Himri (2012)
Wind energy for rural areas of AlgeriaRenewable & Sustainable Energy Reviews, 16
P. Rocha, R. Sousa, Carla Andrade, Maria Silva (2012)
Comparison of seven numerical methods for determining Weibull parameters for wind energy generation in the northeast region of BrazilApplied Energy, 89
T. Chang (2011)
Performance comparison of six numerical methods in estimating Weibull parameters for wind energy applicationApplied Energy, 88
The purpose of this paper is to investigate wind power potential of site using wind speed, wind direction and other meteorological data including temperature and air density collected over a period of one year.Design/methodology/approachThe site-specific air density, wind shear, wind power density, annual energy yield and capacity factors have been calculated at 30 and 10 m above the ground level (AGL). The Weibull parameters have been calculated using empirical, maximum likelihood, modified maximum likelihood, energy pattern and graphical methods to determine the other dependent parameters. The accuracies of these methods are determined using correlation coefficient (R²) and root mean square error (RMSE) values.FindingsThe site-specific wind shear coefficient was found to be 0.18. The annual mean wind speeds were found to be 5.174 and 4.670 m/s at 30 and 10 m heights, respectively, with corresponding standard deviations of 2.085 and 2.059. The mean wind power densities were found to be 59.50 and 46.75 W/m² at 30 and 10 m heights, respectively. According to the economic assessment, the wind turbine A is capable of producing wind energy at the lowest value of US$ 0.034/kWh.Practical implicationsThis assessment provides the sustainable solution of energy which minimizes the dependence on continuous supply of oil and gas to run the conventional power plants that is a major cause of increasing load shedding in the significant industrial and thickly populated city of Pakistan. Also, this will minimize the quarrel between the local power producer and oil and gas supplier during the peak season.Social implicationsThis wind resource assessment has some important social implications including decreasing the environmental issues, enhancing the uninterrupted supply of electricity and decreasing cost of energy per kWh for the masses of Karachi.Originality/valueThe results are showing that the location can be used for installing the wind energy power plant at the lower cost per kWh compared to other energy sources. The wind energy is termed as sustainable solution at the lowest cost.
International Journal of Energy Sector Management – Emerald Publishing
Published: Jan 9, 2020
Keywords: Wind energy; Weibull parameters; Capacity factor; Wind power density; Wind shear
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