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Optimization of Solar Energy System for the Electric Vehicle at University Campus in Dhaka, Bangladesh

Author

Listed:
  • Nusrat Chowdhury

    (Department of Electrical and Electronic Engineering, Daffodil International University, Dhaka, Bangladesh)

  • Chowdhury Akram Hossain

    (Department of Electrical and Electronic Engineering, American International University-Bangladesh, Dhaka, Bangladesh)

  • Michela Longo

    (Department of Energy, Politecnico di Milano, via La Masa, 34-20156 Milano, Italy)

  • Wahiba Yaïci

    (CanmetENERGY Research Centre, Natural Resources Canada, 1 Haanel Drive, Ottawa, ON K1A 1M1, Canada)

Abstract

The incorporation of renewable energy and the transportation system can be significantly beneficial for the economy and environment of Bangladesh. The main energy source for vehicles in Bangladesh are the country’s natural gas and fuel. However, due to the rapid depletion of the gas reserve, soaring gas prices and global warming, alongside the environmental pollution caused by burning fuel, this raises concerns about these energy sources. Renewable energy offers a plausible solution to these problems. This paper’s objective is to focus on the maximum usages of a solar photovoltaic (PV) system in electrical vehicles and to minimize the environmental impact in terms of CO 2 emission. This system may be partially used to power up the electric vehicle with a charging facility and contribute excess power to the national grid. The modeling, with its optimal analysis of the green transportation system, is simulated using the Hybrid Optimization of Multiple Energy Renewables (HOMER) software. The energy produced by the PV system can provide up to 13,792 kWh/year. Approximately 21% of the total production can be used in the charging station for charging the electrical vehicles and the rest of the energy can contribute to the national grid. Moreover, using the proposed concept of green transport will ultimately reduce greenhouse gas emissions by 52,944 kg/year.

Suggested Citation

  • Nusrat Chowdhury & Chowdhury Akram Hossain & Michela Longo & Wahiba Yaïci, 2018. "Optimization of Solar Energy System for the Electric Vehicle at University Campus in Dhaka, Bangladesh," Energies, MDPI, vol. 11(9), pages 1-10, September.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2433-:d:169734
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    References listed on IDEAS

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    5. Abdullah-Al-Nahid, Syed & Jamal, Taskin & Aziz, Tareq & Bhuiyan, Ashraf Hossain & Khan, Tafsir Ahmed, 2023. "Additive linear modelling and genetic algorithm based electric vehicle outlook and policy formulation for decarbonizing the future transport sector of Bangladesh," Transport Policy, Elsevier, vol. 136(C), pages 21-46.
    6. Nundang Busaeri & Ida Ayu Dwi Giriantari & Wayan Gede Ariastina & I. B. Alit Swamardika, 2021. "Energy Management Strategy in Campus Towards a Green Campus Through Promoting Carbon Footprint and Energy Efficiency Index Improving," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 374-382.
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    9. Chowdhury, Tamal & Chowdhury, Hemal & Islam, Kazi Sifatul & Sharifi, Ayyoob & Corkish, Richard & Sait, Sadiq M., 2023. "Resilience analysis of a PV/battery system of health care centres in Rohingya refugee camp," Energy, Elsevier, vol. 263(PA).
    10. Wu, Yan & Aziz, Syed Mahfuzul & Haque, Mohammed H., 2023. "Techno-economic modelling for energy cost minimisation of a university campus to support electric vehicle charging with photovoltaic capacity optimisation," Renewable Energy, Elsevier, vol. 219(P1).
    11. Nusrat Chowdhury & Chowdhury Akram Hossain & Michela Longo & Wahiba Yaïci, 2020. "Feasibility and Cost Analysis of Photovoltaic-Biomass Hybrid Energy System in Off-Grid Areas of Bangladesh," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    12. Bastida-Molina, Paula & Hurtado-Pérez, Elías & Moros Gómez, María Cristina & Vargas-Salgado, Carlos, 2021. "Multicriteria power generation planning and experimental verification of hybrid renewable energy systems for fast electric vehicle charging stations," Renewable Energy, Elsevier, vol. 179(C), pages 737-755.
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