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Combined Engineering—Statistical Method for Assessing Solar Photovoltaic Potential on Residential Rooftops: Case of Laghouat in Central Southern Algeria

Author

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  • Meskiana Boulahia

    (Laboratoire Ville, Urbanisme et Développement Durable (VUDD), Ecole Polytechnique d’Architecture et d’Urbanisme (EPAU), Route de Beaulieu, BP n°177, El-Harrach, Algiers 16200, Algeria)

  • Kahina Amal Djiar

    (Laboratoire Ville, Urbanisme et Développement Durable (VUDD), Ecole Polytechnique d’Architecture et d’Urbanisme (EPAU), Route de Beaulieu, BP n°177, El-Harrach, Algiers 16200, Algeria)

  • Miguel Amado

    (GEOTPU.Lab-Research in Planning, Urbanism, Architecture and Environment, Instituto Superior Tecnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal)

Abstract

Solar energy planning becomes crucial to develop adaptive policies ensuring both energy efficiency and climate change mitigation. Cities, particularly building’s rooftops, constitute a promising infrastructure for enabling the use of locale solar resources. This study proposes a combined engineering–statistical methodology to assess the photovoltaic potential of residential rooftops. Using validated algorithms for solar simulation and geographical information system (GIS) for spatial dissemination, the proposed methodology deals with the lack of data and allows an accurate investigation of the geographical and technical potential. Applied to the municipality of Laghouat, the results reveal that suitable rooftops areas for PV installations in the examined typologies were approximately between 18 and 35%. Moreover, the deployment of distributed PV systems on residential rooftops provides significant technical potential, which could cover up to 55% of the annual electricity needs. These original findings offer a realistic assessment of the usable solar potential within municipalities, which helps decision-makers establish energy efficiency strategies by reducing energy consumption and increasing the share of renewable electricity production. Additionally, the discussion offers valuable insight into energy management and investigates eventual energy sharing among residential buildings to achieve a net-zero energy balance at the municipal level.

Suggested Citation

  • Meskiana Boulahia & Kahina Amal Djiar & Miguel Amado, 2021. "Combined Engineering—Statistical Method for Assessing Solar Photovoltaic Potential on Residential Rooftops: Case of Laghouat in Central Southern Algeria," Energies, MDPI, vol. 14(6), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1626-:d:517144
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    References listed on IDEAS

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    1. Guglielmina Mutani & Valeria Todeschi, 2021. "Optimization of Costs and Self-Sufficiency for Roof Integrated Photovoltaic Technologies on Residential Buildings," Energies, MDPI, vol. 14(13), pages 1-25, July.
    2. Zhu, Rui & Lau, Wing Sze & You, Linlin & Yan, Jinyue & Ratti, Carlo & Chen, Min & Wong, Man Sing & Qin, Zheng, 2024. "Multi-sourced data modelling of spatially heterogenous life-cycle carbon mitigation from installed rooftop photovoltaics: A case study in Singapore," Applied Energy, Elsevier, vol. 362(C).
    3. Julieta, Schallenberg-Rodriguez & José-Julio, Rodrigo-Bello & Pablo, Yanez-Rosales, 2022. "A methodology to estimate the photovoltaic potential on parking spaces and water deposits. The case of the Canary Islands," Renewable Energy, Elsevier, vol. 189(C), pages 1046-1062.
    4. Anna Fijałkowska & Kamila Waksmundzka & Jerzy Chmiel, 2022. "Assessment of the Effectiveness of Photovoltaic Panels at Public Transport Stops: 3D Spatial Analysis as a Tool to Strengthen Decision Making," Energies, MDPI, vol. 15(3), pages 1-28, February.

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