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Assessment Method to Identify the Potential of Rooftop PV Systems in the Residential Districts

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  • Saad Odeh

    (Senior Fellow of HEA, Sydney Institute of Business and Technology, Sydney City Campus, Western Sydney University, Sydney, NSW 2000, Australia)

  • Tri Hieu Nguyen

    (Mechanical Engineering, Sydney City Campus, Western Sydney University, Sydney, NSW 2000, Australia)

Abstract

The installation of rooftop PV systems in residential buildings and dwellings has increased rapidly in the past decade, and these systems have become a major source of renewable energy in many countries. This paper presents a new method of estimating the potential of rooftop PV systems to meet energy demands in residential districts by introducing a roof suitability factor. The method of assessment is based on an online tool called SunSPot, which uses a solar radiation heat map layer of building roofs and the PVSYST solar performance software. A sample of 400 houses from four suburbs considered in the Sydney City Council 2030 sustainability plan was selected to conduct the performance analysis of rooftop PV systems and develop a formula that can estimate the suburban annual energy production. The results show that if the dwelling roofs in residential suburbs could be covered by PV arrays it would produce enough electricity to exceed the local electricity demand and, in some suburbs, a surplus of more than 87%.

Suggested Citation

  • Saad Odeh & Tri Hieu Nguyen, 2021. "Assessment Method to Identify the Potential of Rooftop PV Systems in the Residential Districts," Energies, MDPI, vol. 14(14), pages 1-11, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4240-:d:593983
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    References listed on IDEAS

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    1. Lukač, Niko & Seme, Sebastijan & Dežan, Katarina & Žalik, Borut & Štumberger, Gorazd, 2016. "Economic and environmental assessment of rooftops regarding suitability for photovoltaic systems installation based on remote sensing data," Energy, Elsevier, vol. 107(C), pages 854-865.
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    Cited by:

    1. Saad Odeh & Junxi Feng, 2022. "Long Term Performance Assessment of a Residential PV/Thermal Hybrid System," Energies, MDPI, vol. 16(1), pages 1-14, December.
    2. Artem Stopochkin & Inessa Sytnik, 2022. "Algorithm for Rapid Estimation of the Performance of Small Rooftop Solar PV Use by Households," Energies, MDPI, vol. 15(11), pages 1-29, May.
    3. Wojciech Cieslik & Filip Szwajca & Sławomir Rosolski & Michał Rutkowski & Katarzyna Pietrzak & Jakub Wójtowicz, 2022. "Historical Buildings Potential to Power Urban Electromobility: State-of-the-Art and Future Challenges for Nearly Zero Energy Buildings (nZEB) Microgrids," Energies, MDPI, vol. 15(17), pages 1-23, August.
    4. Yildirim, Deniz & Büyüksalih, Gürcan & Şahin, Ahmet Duran, 2021. "Rooftop photovoltaic potential in Istanbul: Calculations based on LiDAR data, measurements and verifications," Applied Energy, Elsevier, vol. 304(C).
    5. Vecchi, Francesca & Berardi, Umberto, 2024. "Solar analysis for an urban context from GIS to block-scale evaluations," Energy Policy, Elsevier, vol. 184(C).

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