Evaluating the Operational Potential of LRV Signatures Derived from UAV Imagery in Performance Evaluation of Cool Roofs

Seong-Il Park, Taek-Hyoung Ryu, Ick-Chang Choi and Jung-Sup Um
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Seong-Il Park: Department of Climate Change, Kyungpook National University, Daegu 41566, Korea
Taek-Hyoung Ryu: Department of Geography, Kyungpook National University, Daegu 41566, Korea
Ick-Chang Choi: Institute of Advanced Convergence Technology, Kyungpook National University, Daegu 41061, Korea
Jung-Sup Um: Department of Geography, Kyungpook National University, Daegu 41566, Korea

Energies, 2019, vol. 12, issue 14, 1-14

Abstract: It is quite difficult to find studies regarding area-wide data from UAV (Unmanned Aerial Vehicle) remote sensing in evaluating the energy saving performance of a cool roof. Acknowledging these constraints, we investigated whether LRV (Light Reflectance Value) signatures derived from UAV imagery could be used effectively as an indicator of area-wide heating and cooling load that distinctively appears according to rooftop color. The case study provides some quantitative tangible evidence for two distinct colors: A whitish color roof appears near the edge of the highest LRV (91.36) and with a low temperature (rooftop surface temperature: (38.03 °C), while a blackish color roof shows the lowest LRV (18.14) with a very high temperature (65.03 °C) where solar radiation is extensively absorbed. A strong negative association (Pearson correlation coefficient, r = −0.76) was observed between the LRV and surface temperature, implying that a higher LRV (e.g., a white color) plays a decisive role in lowering the surface temperature. This research can be used as a valuable reference introducing LRV in evaluating the thermal performance of rooftop color as rooftops satisfying the requirement of a cool roof (reflecting 75% or more of incoming solar energy) are identified based on area-wide objective evidence from UAV imagery.

Keywords: unmanned aerial vehicle; light reflectance value; cool roof; area-wide data; roof color (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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