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Evaluation of Drivers and Barriers of Wind Power Generation in Pakistan. SWOT-Delphi Method

Author

Listed:
  • Zuhaibuddin Bhutto

    (Department of Computer Systems Engineering, Balochistan University of Engineering & Technology, Pakistan)

  • Sikandar Ali Abbasi

    (Department of Energy & Environment Engineering, Dawood University of Engineering & Technology, Pakistan.)

  • Saeed Zaman Jamali

    (Department of Electrical Engineering, Balochistan University of Engineering & Technology, Pakistan.)

  • Salman Masroor

    (Department of Mechanical Engineering, Balochistan University of Engineering & Technology, Pakistan.)

  • Jalal Shah

    (Department of Computer Systems Engineering, Balochistan University of Engineering & Technology, Pakistan.)

  • Murtaza Hussain Shaikh

    (Department of Information Systems, Kyungsung University, Busan, South Korea.)

  • Ayaz Hussain

    (Department of Electrical Engineering, Balochistan University of Engineering & Technology, Pakistan.)

Abstract

In the last two decades electricity shortage has hampered the economic growth of Pakistan. To overcome these crises, thermal power plants were commissioned to bridge the supply and demand gap. Deployment of thermal power generation resulted in an unsustainable energy mix with the higher cost of generation. In the last decade, policymakers have shown considerable interest in deploying renewable energy generally and wind energy particularly. Therefore, this paper evaluates some important drivers and barriers to wind power generation. SWOT-Delphi approach with Relative Importance Index (RII) analysis has been applied. The results show that the deployment of wind power can enhance energy security and environmental sustainability. Major barriers to wind energy are the presence of competitive energy resources, policy implications, and poor grid infrastructure. With this contrasting environment, the evaluation of drivers and barriers of wind power are insightful for formulating sustainable energy planning strategies for future generation mix.

Suggested Citation

  • Zuhaibuddin Bhutto & Sikandar Ali Abbasi & Saeed Zaman Jamali & Salman Masroor & Jalal Shah & Murtaza Hussain Shaikh & Ayaz Hussain, 2022. "Evaluation of Drivers and Barriers of Wind Power Generation in Pakistan. SWOT-Delphi Method," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 342-348, March.
    • Handle: RePEc:eco:journ2:2022-02-38
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    Citations

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    Cited by:

    1. Muhammad Bin Ali & Zeshan Ahmad & Saad Alshahrani & Muhammad Rizwan Younis & Irsa Talib & Muhammad Imran, 2022. "A Case Study: Layout Optimization of Three Gorges Wind Farm Pakistan, Using Genetic Algorithm," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    2. Jamshid Ali Turi & Joanna Rosak-Szyrocka & Maryam Mansoor & Hira Asif & Ahad Nazir & Daniel Balsalobre-Lorente, 2022. "Assessing Wind Energy Projects Potential in Pakistan: Challenges and Way Forward," Energies, MDPI, vol. 15(23), pages 1-21, November.

    More about this item

    Keywords

    Wind power generation; SWOT-Delphi method; RII analysis;
    All these keywords.

    JEL classification:

    • P4 - Political Economy and Comparative Economic Systems - - Other Economic Systems
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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