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Roof’s Potential and Suitability for PV Systems Based on LiDAR: A Case Study of Komárno, Slovakia

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  • Marcela Bindzarova Gergelova

    (Institute of Geodesy, Cartography and Geographical Information Systems, Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Kosice, 042 00 Kosice, Slovakia)

  • Zofia Kuzevicova

    (Institute of Geodesy, Cartography and Geographical Information Systems, Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Kosice, 042 00 Kosice, Slovakia)

  • Slavomir Labant

    (Institute of Geodesy, Cartography and Geographical Information Systems, Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Kosice, 042 00 Kosice, Slovakia)

  • Stefan Kuzevic

    (Institute of Earth Resources Ecology, Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Kosice, 042 00 Kosice, Slovakia)

  • Diana Bobikova

    (Institute of Geodesy, Cartography and Geographical Information Systems, Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Kosice, 042 00 Kosice, Slovakia)

  • Jozef Mizak

    (Department of Geofond, State Geological Institute of Dionýz Štúr, 817 04 Bratislava, Slovakia)

Abstract

The case study focuses on evaluating the suitability of roof surfaces in terms of their solar potential based on their geometric parameters. The selected processing methodology detects segments of roof surfaces from the LiDAR base, supplemented with spatial information (orthophoto map, real estate cadastre (REC)—footprint, basic database for the geographic information system (ZBGIS)—classification of buildings—current use). The approach based on spatial analyses takes into account the limit conditions for determining the impact of solar radiation resulting from the roof area, slope, aspect, and hillshade. Considering to the available subsidy scheme for family houses in the conditions of the Slovak Republic, a narrower sample of 35 family houses was selected from the total number of typologically represented buildings (194). A 3D model of the building created by combining REC and LiDAR substrates shows the roof surface without overlap, while another 3D model made of LiDAR substrates alone represents the actual dimension of the roof surface. The results presented for each selected building show good agreement with each other, and their visualizations were obtained using two GIS environment approaches. In the area of family houses, up to 94% of the roof areas of buildings registered in the REC meet the conditions for the installation of a PV system with an output of 2.6/3.3 kW.

Suggested Citation

  • Marcela Bindzarova Gergelova & Zofia Kuzevicova & Slavomir Labant & Stefan Kuzevic & Diana Bobikova & Jozef Mizak, 2020. "Roof’s Potential and Suitability for PV Systems Based on LiDAR: A Case Study of Komárno, Slovakia," Sustainability, MDPI, vol. 12(23), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:10018-:d:454176
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    1. Muhammad Tahir Amin & Abdulrahman Ali Alazba & Muhammad Shafiq, 2015. "Adsorptive Removal of Reactive Black 5 from Wastewater Using Bentonite Clay: Isotherms, Kinetics and Thermodynamics," Sustainability, MDPI, vol. 7(11), pages 1-17, November.
    2. Wu, Xuan & Leung, Dennis Y.C., 2011. "Optimization of biodiesel production from camelina oil using orthogonal experiment," Applied Energy, Elsevier, vol. 88(11), pages 3615-3624.
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    1. Lukač, Niko & Mongus, Domen & Žalik, Borut & Štumberger, Gorazd & Bizjak, Marko, 2024. "Novel GPU-accelerated high-resolution solar potential estimation in urban areas by using a modified diffuse irradiance model," Applied Energy, Elsevier, vol. 353(PA).

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