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Feasibility Study of an Off-Grid Solar PV System for a Residential Application in Model Town, Lahore

Author

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  • Asad Mehmood Hassan
  • Muhammad Tariq Iqbal

Abstract

This study presents a feasibility of the off-grid solar photovoltaic system proposed for a residential property in Model Town, Lahore, Pakistan. The system offers a sustainable and reliable energy solution in view of high solar irradiance and frequent grid outages in the region. Using HOMER Pro software, simulation of a hybrid microgrid consisting of a 12.6 kW PV array, 89 kWh of battery storage, and an 11-kW inverter is presented. It meets loads of 25 kWh per day. The system showed favorable economic and technical perspectives, with an IRR of 228%, a payback period of 0.491 years, and a 91% reduction in net present cost compared to second-best diesel generator-based systems. The system is also documented for zero CO2 emissions and almost no energy disruptions, declaring it environment-friendly, as well as being favorable to include in similar regions for residential purposes.

Suggested Citation

  • Asad Mehmood Hassan & Muhammad Tariq Iqbal, 2025. "Feasibility Study of an Off-Grid Solar PV System for a Residential Application in Model Town, Lahore," European Journal of Energy Research, European Open Science, vol. 5(5), pages 1-5, September.
    • Handle: RePEc:epw:energy:v:5:y:2025:i:5:id:7171
    DOI: 10.24018/ejenergy.2025.5.5.171
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    References listed on IDEAS

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    1. George E. Halkos & Apostolos S. Tsirivis, 2023. "Electricity Production and Sustainable Development: The Role of Renewable Energy Sources and Specific Socioeconomic Factors," Energies, MDPI, vol. 16(2), pages 1-21, January.
    2. Asif Ur Rehman & M. Tariq Iqbal, 2020. "Design of an Ultra-Low Powered Data-Logger for Stand-Alone PV Energy Systems," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 4(6), November.
    3. Muhammad Umair Akhtar & Muhammad Tariq Iqbal, 2024. "Development and Evaluation of an Arduino-Based Data Logging System Integrated with Microsoft Excel for Monitoring On-Grid Photovoltaic Systems," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 8(3), pages 29-37, May.
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