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Assessment of centralized grid connected wind power cost in coastal area of Pakistan

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  • Harijan, Khanji
  • Uqaili, Mohammad A.
  • Memon, Mujeebuddin
  • Mirza, Umar K.

Abstract

This work presents an assessment of per unit cost of electricity generated from 15MW wind farm at 40 locations in the coastal areas of Pakistan using the method of net present value analysis. The Nordex N43/600 wind turbine has been selected and used as reference wind turbine. Wind duration curves were developed and utilized to calculate per unit cost of electricity generated from chosen wind turbine. In Sindh province, the minimum cost of electricity generated was found to be 4.2 ¢/kWh at Jamshoro, while the corresponding maximum was 7.4 ¢/kWh at Kadhan site. In Balochistan, the minimum cost of electricity generated was found to be 6.3 ¢/kWh at Aghore, while the corresponding maximum was 21.0 ¢/kWh at Mand site. The study concludes that at most of the locations especially in Sindh province, wind power is competitive to conventional grid connected thermal power even without considering the externalities.

Suggested Citation

  • Harijan, Khanji & Uqaili, Mohammad A. & Memon, Mujeebuddin & Mirza, Umar K., 2009. "Assessment of centralized grid connected wind power cost in coastal area of Pakistan," Renewable Energy, Elsevier, vol. 34(2), pages 369-373.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:2:p:369-373
    DOI: 10.1016/j.renene.2008.05.001
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    References listed on IDEAS

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    1. Mirza, Umar K. & Ahmad, Nasir & Majeed, Tariq & Harijan, Khanji, 2007. "Wind energy development in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(9), pages 2179-2190, December.
    2. Rehman, S & Halawani, T.O & Mohandes, M, 2003. "Wind power cost assessment at twenty locations in the kingdom of Saudi Arabia," Renewable Energy, Elsevier, vol. 28(4), pages 573-583.
    3. Bhuiyan, M.M.H & Asgar, M.Ali & Mazumder, R.K & Hussain, M, 2000. "Economic evaluation of a stand-alone residential photovoltaic power system in Bangladesh," Renewable Energy, Elsevier, vol. 21(3), pages 403-410.
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    2. Arslan, Oguz, 2010. "Technoeconomic analysis of electricity generation from wind energy in Kutahya, Turkey," Energy, Elsevier, vol. 35(1), pages 120-131.
    3. Harijan, Khanji & Uqaili, Mohammad A. & Memon, Mujeebuddin & Mirza, Umar K., 2011. "Forecasting the diffusion of wind power in Pakistan," Energy, Elsevier, vol. 36(10), pages 6068-6073.
    4. Farooqui, Suhail Zaki, 2014. "Prospects of renewables penetration in the energy mix of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 693-700.
    5. Watts, David & Durán, Pablo & Flores, Yarela, 2017. "How does El Niño Southern Oscillation impact the wind resource in Chile? A techno-economical assessment of the influence of El Niño and La Niña on the wind power," Renewable Energy, Elsevier, vol. 103(C), pages 128-142.
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    7. Fueyo, Norberto & Sanz, Yosune & Rodrigues, Marcos & Montañés, Carlos & Dopazo, César, 2011. "The use of cost-generation curves for the analysis of wind electricity costs in Spain," Applied Energy, Elsevier, vol. 88(3), pages 733-740, March.
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    9. Jingchao, Zhang & Kotani, Koji & Saijo, Tatsuyoshi, 2019. "Low-quality or high-quality coal? Household energy choice in rural Beijing," Energy Economics, Elsevier, vol. 78(C), pages 81-90.
    10. Bhutto, Abdul Waheed & Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2013. "Greener energy: Issues and challenges for Pakistan—wind power prospective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 519-538.
    11. Nansheng Pang & Mengfan Nan & Qichen Meng & Siyang Zhao, 2021. "Selection of Wind Turbine Based on Fuzzy Analytic Network Process: A Case Study in China," Sustainability, MDPI, vol. 13(4), pages 1-17, February.

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