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Techno-Economic Analysis of Hybrid Renewable Energy-Based Electricity Supply to Gwadar, Pakistan

Author

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  • Muhammad Sharjeel Ali

    (Department of Electrical Engineering, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad 44000, Pakistan)

  • Syed Umaid Ali

    (Center of Excellence in Artificial Intelligence (CoE-AI), Department of Electrical Engineering, Bahria University, E-8 Shangrilla Road, Islamabad 44000, Pakistan)

  • Saeed Mian Qaisar

    (Electrical and Computer Engineering Department, Effat University, Jeddah 22332, Saudi Arabia)

  • Asad Waqar

    (Department of Electrical Engineering, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad 44000, Pakistan
    Center of Excellence in Artificial Intelligence (CoE-AI), Department of Electrical Engineering, Bahria University, E-8 Shangrilla Road, Islamabad 44000, Pakistan)

  • Faheem Haroon

    (Department of Electrical Engineering, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad 44000, Pakistan)

  • Ahmad Alzahrani

    (Electrical Engineering Department, College of Engineering, Najran University, Najran 11001, Saudi Arabia)

Abstract

Gwadar is essential to Pakistan’s financial stability. Being the third deep-water port in Pakistan, it plays a significant role in trade between the Gulf States, Africa, UAE, and CARs. The load shedding of 12–16 h in Gwadar is the most concerning issue due to the non-availability of a utility grid, which is why the Pakistan imports 70 MW of electricity from Iran to fulfill Gwadar’s electricity needs. Gwadar has renewable energy resources that can be utilized for electricity generation. However, wind and solar systems were only installed for limited residential areas. Considering this scenario, a technological and economic analysis was performed using the Hybrid Optimization Model for Multiple Energy Resources (HOMER) software. Three models were considered in this study. Model 1 consisted of photovoltaic (PV) cells, wind turbines, converters, and batteries. Model 2 consisted of PV cells, wind turbines, converters, and a grid. Model 3 consisted of PV cells, wind turbines, converters, and diesel generators. The annual energy generated by Model 1, Model 2, and Model 3 was respectively 57.37 GWh, 81.5 GWh, and 30.4 GWh. The Levelized Cost of Electricity (LCOE) for Model 1, Model 2, and Model 3 was respectively USD 0.401/kWh, USD 0.0347/kWh, and USD 0.184/kWh. The simple payback period of Model 1 was 6.70 years, the simple payback period of Model 2 was 7.77 years and the simple payback period of Model 3 was 4.98 years. Because Model 3 had the lowest Net Present Cost NPC, its payback period was also less than those of the other two. However, Model 2 had the lowest LCOE and its renewable fraction was 73.3%. These facts indicate that Model 2 is the optimal solution.

Suggested Citation

  • Muhammad Sharjeel Ali & Syed Umaid Ali & Saeed Mian Qaisar & Asad Waqar & Faheem Haroon & Ahmad Alzahrani, 2022. "Techno-Economic Analysis of Hybrid Renewable Energy-Based Electricity Supply to Gwadar, Pakistan," Sustainability, MDPI, vol. 14(23), pages 1-25, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16281-:d:995126
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