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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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    References listed on IDEAS

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    1. Iten, Muriel & Liu, Shuli & Shukla, Ashish, 2018. "Experimental validation of an air-PCM storage unit comparing the effective heat capacity and enthalpy methods through CFD simulations," Energy, Elsevier, vol. 155(C), pages 495-503.
    2. Türkay, Belgin Emre & Telli, Ali Yasin, 2011. "Economic analysis of standalone and grid connected hybrid energy systems," Renewable Energy, Elsevier, vol. 36(7), pages 1931-1943.
    3. Ma, Weiwu & Xue, Xinpei & Liu, Gang, 2018. "Techno-economic evaluation for hybrid renewable energy system: Application and merits," Energy, Elsevier, vol. 159(C), pages 385-409.
    4. Aktaş, Ahmet & Kırçiçek, Yağmur, 2020. "A novel optimal energy management strategy for offshore wind/marine current/battery/ultracapacitor hybrid renewable energy system," Energy, Elsevier, vol. 199(C).
    5. Nima Norouzi & Alireza Bozorgian & Mohammad Ali Dehghani, 2020. "Best Option of Investment in Renewable Energy: A Multicriteria Decision-Making Analysis for Iranian Energy Industry," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 22(01n02), pages 1-35, June.
    6. Calderón, Silvia & Alvarez, Andrés Camilo & Loboguerrero, Ana María & Arango, Santiago & Calvin, Katherine & Kober, Tom & Daenzer, Kathryn & Fisher-Vanden, Karen, 2016. "Achieving CO2 reductions in Colombia: Effects of carbon taxes and abatement targets," Energy Economics, Elsevier, vol. 56(C), pages 575-586.
    7. Waewsak, Jompob & Ali, Shahid & Natee, Warut & Kongruang, Chuleerat & Chancham, Chana & Gagnon, Yves, 2020. "Assessment of hybrid, firm renewable energy-based power plants: Application in the southernmost region of Thailand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    8. Yasir Basheer & Asad Waqar & Saeed Mian Qaisar & Toqeer Ahmed & Nasim Ullah & Sattam Alotaibi, 2022. "Analyzing the Prospect of Hybrid Energy in the Cement Industry of Pakistan, Using HOMER Pro," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    9. Jiaxin Lu & Weijun Wang & Yingchao Zhang & Song Cheng, 2017. "Multi-Objective Optimal Design of Stand-Alone Hybrid Energy System Using Entropy Weight Method Based on HOMER," Energies, MDPI, vol. 10(10), pages 1-17, October.
    10. Aziz, Ali Saleh & Tajuddin, Mohammad Faridun Naim & Adzman, Mohd Rafi & Azmi, Azralmukmin & Ramli, Makbul A.M., 2019. "Optimization and sensitivity analysis of standalone hybrid energy systems for rural electrification: A case study of Iraq," Renewable Energy, Elsevier, vol. 138(C), pages 775-792.
    11. Nieves, J.A. & Aristizábal, A.J. & Dyner, I. & Báez, O. & Ospina, D.H., 2019. "Energy demand and greenhouse gas emissions analysis in Colombia: A LEAP model application," Energy, Elsevier, vol. 169(C), pages 380-397.
    12. Shoeibi, Shahin & Kargarsharifabad, Hadi & Mirjalily, Seyed Ali Agha & Zargarazad, Mojtaba, 2021. "Performance analysis of finned photovoltaic/thermal solar air dryer with using a compound parabolic concentrator," Applied Energy, Elsevier, vol. 304(C).
    13. Asad Abbas & Saeed Mian Qaisar & Asad Waqar & Nasim Ullah & Ahmad Aziz Al Ahmadi, 2022. "Min-Max Regret-Based Approach for Sizing and Placement of DGs in Distribution System under a 24 h Load Horizon," Energies, MDPI, vol. 15(10), pages 1-32, May.
    14. Haghighat Mamaghani, Alireza & Avella Escandon, Sebastian Alberto & Najafi, Behzad & Shirazi, Ali & Rinaldi, Fabio, 2016. "Techno-economic feasibility of photovoltaic, wind, diesel and hybrid electrification systems for off-grid rural electrification in Colombia," Renewable Energy, Elsevier, vol. 97(C), pages 293-305.
    Full references (including those not matched with items on IDEAS)

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