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An Overview of the Current Energy Situation of Pakistan and the Way Forward towards Green Energy Implementation

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  • Shoaib Ahmed Khatri

    (Department of Electrical Engineering, Mehran University of Engineering & Technology, Jamshoro 76062, Pakistan)

  • Nayyar Hussain Mirjat

    (Department of Electrical Engineering, Mehran University of Engineering & Technology, Jamshoro 76062, Pakistan)

  • Khanji Harijan

    (Department of Mechanical Engineering, Mehran University of Engineering & Technology, Jamshoro 76062, Pakistan)

  • Mohammad Aslam Uqaili

    (Department of Electrical Engineering, Mehran University of Engineering & Technology, Jamshoro 76062, Pakistan)

  • Syed Feroz Shah

    (Department of Basic Sciences and Related Studies, Mehran University of Engineering & Technology, Jamshoro 76062, Pakistan)

  • Pervez Hameed Shaikh

    (Department of Electrical Engineering, Mehran University of Engineering & Technology, Jamshoro 76062, Pakistan)

  • Laveet Kumar

    (Department of Mechanical Engineering, Mehran University of Engineering & Technology, Jamshoro 76062, Pakistan)

Abstract

Pakistan has been facing energy crises for more than a decade as a result of its reliance on imported fossil fuels, circular debt, political instability, and absurd energy policies. However, the country has abundant renewable energy resources which, if harnessed, may help to effectively cope with ever-increasing energy demand. This review study investigates the country’s economic and energy situations, energy crises, and energy sector performance. A critical analysis of studies conducted on Pakistan’s energy planning since its independence in 1947 is, and policies announced to date are assessed. This review reveals that the economic situation of the country has remained severely stressed, and energy sector performance has been compromised over the years for various underlying reasons. The energy policy narrative in the early decades of the post-independence period focused on water resource management, whereas energy concerns were only realized in the late 1960s as demand grew. The first-ever energy and power planning study in Pakistan was conducted in 1967, and since then, various studies have been conducted to support the medium-term development plans of the government. These planning studies inspired further development, and in 1994, the first-ever electricity-focused power policy was announced by the government in response to industrial growth and subsequent electricity demand. However, this and subsequent policies were fossil-fuel-centric until 2006, when the government announced the first-ever renewable energy policy. This 2006 policy focused on increasing renewable energy penetration in the overall energy mix by setting specific targets. However, these targets have rarely been accomplished as a result of a lack of an effective planning paradigm, as most of studies have been conducted without sound demand forecasting and without considering renewable energy’s potential to meet growing demand. As such, planning efforts based on proven methodologies/modeling tools and the undertaking of demand forecasts and renewable energy assessments are inevitable for countries such as Pakistan. Therefore, we suggest that sectoral energy demand forecasting, estimation of renewable energy potential with end use, and modeling of optimal penetration of renewable energy using energy modeling tools will be helpful to develop sustainable energy policies in Pakistan to eradicate the energy crisis.

Suggested Citation

  • Shoaib Ahmed Khatri & Nayyar Hussain Mirjat & Khanji Harijan & Mohammad Aslam Uqaili & Syed Feroz Shah & Pervez Hameed Shaikh & Laveet Kumar, 2022. "An Overview of the Current Energy Situation of Pakistan and the Way Forward towards Green Energy Implementation," Energies, MDPI, vol. 16(1), pages 1-27, December.
  • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:423-:d:1019679
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    References listed on IDEAS

    as
    1. John Glasson, 2020. "Community Benefits and UK Offshore Wind Farms: Evolving Convergence in a Divergent Practice," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 22(01n02), pages 1-28, June.
    2. Gonzales Chavez, S & Xiberta Bernat, J & Llaneza Coalla, H, 1999. "Forecasting of energy production and consumption in Asturias (northern Spain)," Energy, Elsevier, vol. 24(3), pages 183-198.
    3. Siemek, Jakub & Nagy, Stanislaw & Rychlicki, Stanislaw, 2003. "Estimation of natural-gas consumption in Poland based on the logistic-curve interpretation," Applied Energy, Elsevier, vol. 75(1-2), pages 1-7, May.
    4. Al-Ghandoor, A. & Al-Hinti, I. & Jaber, J.O. & Sawalha, S.A., 2008. "Electricity consumption and associated GHG emissions of the Jordanian industrial sector: Empirical analysis and future projection," Energy Policy, Elsevier, vol. 36(1), pages 258-267, January.
    5. Filippini, Massimo & Hunt, Lester C., 2012. "US residential energy demand and energy efficiency: A stochastic demand frontier approach," Energy Economics, Elsevier, vol. 34(5), pages 1484-1491.
    6. Farooq, Muhammad Khalid & Kumar, S. & Shrestha, Ram M., 2013. "Energy, environmental and economic effects of Renewable Portfolio Standards (RPS) in a Developing Country," Energy Policy, Elsevier, vol. 62(C), pages 989-1001.
    7. Islam, Faridul & Shahbaz, Muhammad & Ahmed, Ashraf U. & Alam, Md. Mahmudul, 2013. "Financial development and energy consumption nexus in Malaysia: A multivariate time series analysis," Economic Modelling, Elsevier, vol. 30(C), pages 435-441.
    8. Dalla Valle, Alessandra & Furlan, Claudia, 2011. "Forecasting accuracy of wind power technology diffusion models across countries," International Journal of Forecasting, Elsevier, vol. 27(2), pages 592-601, April.
    9. 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.
    10. Ghaffar, Mohammed A., 1995. "The energy supply situation in the rural sector of Pakistan and the potential of renewable energy technologies," Renewable Energy, Elsevier, vol. 6(8), pages 941-976.
    11. Dalla Valle, Alessandra & Furlan, Claudia, 2011. "Forecasting accuracy of wind power technology diffusion models across countries," International Journal of Forecasting, Elsevier, vol. 27(2), pages 592-601.
    12. Shami, Sajjad Haider & Ahmad, Jameel & Zafar, Raheel & Haris, Muhammad & Bashir, Sajid, 2016. "Evaluating wind energy potential in Pakistan's three provinces, with proposal for integration into national power grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 408-421.
    13. Forouzanfar, Mehdi & Doustmohammadi, Ali & Menhaj, M. Bagher & Hasanzadeh, Samira, 2010. "Modeling and estimation of the natural gas consumption for residential and commercial sectors in Iran," Applied Energy, Elsevier, vol. 87(1), pages 268-274, January.
    14. Lund, Peter, 2006. "Market penetration rates of new energy technologies," Energy Policy, Elsevier, vol. 34(17), pages 3317-3326, November.
    15. Di Leo, Senatro & Caramuta, Pietro & Curci, Paola & Cosmi, Carmelina, 2020. "Regression analysis for energy demand projection: An application to TIMES-Basilicata and TIMES-Italy energy models," Energy, Elsevier, vol. 196(C).
    16. O'Neill, Brian C. & Desai, Mausami, 2005. "Accuracy of past projections of US energy consumption," Energy Policy, Elsevier, vol. 33(8), pages 979-993, May.
    17. Krishnamoorthy R & Udhayakumar K & Kannadasan Raju & Rajvikram Madurai Elavarasan & Lucian Mihet-Popa, 2020. "An Assessment of Onshore and Offshore Wind Energy Potential in India Using Moth Flame Optimization," Energies, MDPI, vol. 13(12), pages 1-41, June.
    18. Ediger, Volkan S. & Akar, Sertac, 2007. "ARIMA forecasting of primary energy demand by fuel in Turkey," Energy Policy, Elsevier, vol. 35(3), pages 1701-1708, March.
    19. De Martino Jannuzzi, Gilberto & Schipper, Lee, 1991. "The structure of electricity demand in the Brazilian household sector," Energy Policy, Elsevier, vol. 19(9), pages 879-891, November.
    20. Sozen, Adnan & Arcaklioglu, Erol, 2007. "Prediction of net energy consumption based on economic indicators (GNP and GDP) in Turkey," Energy Policy, Elsevier, vol. 35(10), pages 4981-4992, October.
    21. Kessides, Ioannis N., 2013. "Chaos in power: Pakistan's electricity crisis," Energy Policy, Elsevier, vol. 55(C), pages 271-285.
    22. Lee, Chien-Chiang & Chang, Chun-Ping, 2007. "The impact of energy consumption on economic growth: Evidence from linear and nonlinear models in Taiwan," Energy, Elsevier, vol. 32(12), pages 2282-2294.
    23. Nayyar Hussain Mirjat & Mohammad Aslam Uqaili & Khanji Harijan & Mohd Wazir Mustafa & Md. Mizanur Rahman & M. Waris Ali Khan, 2018. "Multi-Criteria Analysis of Electricity Generation Scenarios for Sustainable Energy Planning in Pakistan," Energies, MDPI, vol. 11(4), pages 1-33, March.
    24. Evrendilek, F & Ertekin, C, 2003. "Assessing the potential of renewable energy sources in Turkey," Renewable Energy, Elsevier, vol. 28(15), pages 2303-2315.
    25. Harris, John L. & Liu, Lon-Mu, 1993. "Dynamic structural analysis and forecasting of residential electricity consumption," International Journal of Forecasting, Elsevier, vol. 9(4), pages 437-455, December.
    26. Tunc, Murat & Camdali, Unal & Parmaksizoglu, Cem, 2006. "Comparison of Turkey's electrical energy consumption and production with some European countries and optimization of future electrical power supply investments in Turkey," Energy Policy, Elsevier, vol. 34(1), pages 50-59, January.
    27. Harijan, Khanji & Memon, Mujeebuddin & Uqaili, Mohammad A. & Mirza, Umar K., 2009. "Potential contribution of ethanol fuel to the transport sector of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 291-295, January.
    28. Mirza, Umar K. & Ahmad, Nasir & Harijan, Khanji & Majeed, Tariq, 2009. "Identifying and addressing barriers to renewable energy development in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 927-931, May.
    29. Haldenbilen, Soner & Ceylan, Halim, 2005. "Genetic algorithm approach to estimate transport energy demand in Turkey," Energy Policy, Elsevier, vol. 33(1), pages 89-98, January.
    30. Lu, I.J. & Lin, Sue J. & Lewis, Charles, 2008. "Grey relation analysis of motor vehicular energy consumption in Taiwan," Energy Policy, Elsevier, vol. 36(7), pages 2556-2561, July.
    31. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil," Energy, Elsevier, vol. 36(5), pages 2450-2458.
    32. Sharma, D. Parameswara & Chandramohanan Nair, P. S. & Balasubramanian, R., 2002. "Demand for commercial energy in the state of Kerala, India: an econometric analysis with medium-range projections," Energy Policy, Elsevier, vol. 30(9), pages 781-791, July.
    33. Ermis, K. & Midilli, A. & Dincer, I. & Rosen, M.A., 2007. "Artificial neural network analysis of world green energy use," Energy Policy, Elsevier, vol. 35(3), pages 1731-1743, March.
    34. Aydinalp, Merih & Ismet Ugursal, V. & Fung, Alan S., 2002. "Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks," Applied Energy, Elsevier, vol. 71(2), pages 87-110, February.
    35. Tahir, Z.R. & Asim, Muhammad, 2018. "Surface measured solar radiation data and solar energy resource assessment of Pakistan: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2839-2861.
    36. Uemura, Yoshimitsu & Kai, Takami & Natori, Rintarou & Takahashi, Takeshige & Hatate, Yasuo & Yoshida, Masahiro, 2004. "Potential of renewable energy sources and its applications in Yakushima Island," Renewable Energy, Elsevier, vol. 29(4), pages 581-591.
    37. Iniyan, S. & Suganthi, L. & Samuel, Anand A., 2006. "Energy models for commercial energy prediction and substitution of renewable energy sources," Energy Policy, Elsevier, vol. 34(17), pages 2640-2653, November.
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    1. Jaweriya Naz & Dr. Mirza Faizan Ahmed & Prof. Dr. Raza Ali Khan, 2024. "Pakistan Energy Outlook for Next 25 Years," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 563-572.

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