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Open AccessArticle

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

1
Department of Climate Change, Kyungpook National University, Daegu 41566, Korea
2
Department of Geography, Kyungpook National University, Daegu 41566, Korea
3
Institute of Advanced Convergence Technology, Kyungpook National University, Daegu 41061, Korea
*
Author to whom correspondence should be addressed.
Energies 2019, 12(14), 2787; https://doi.org/10.3390/en12142787
Received: 3 June 2019 / Revised: 11 July 2019 / Accepted: 17 July 2019 / Published: 19 July 2019
(This article belongs to the Special Issue Unmanned Aerial Vehicles for Energy Applications)
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. View Full-Text
Keywords: unmanned aerial vehicle; light reflectance value; cool roof; area-wide data; roof color unmanned aerial vehicle; light reflectance value; cool roof; area-wide data; roof color
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MDPI and ACS Style

Park, S.-I.; Ryu, T.-H.; Choi, I.-C.; Um, J.-S. Evaluating the Operational Potential of LRV Signatures Derived from UAV Imagery in Performance Evaluation of Cool Roofs. Energies 2019, 12, 2787. https://doi.org/10.3390/en12142787

AMA Style

Park S-I, Ryu T-H, Choi I-C, Um J-S. Evaluating the Operational Potential of LRV Signatures Derived from UAV Imagery in Performance Evaluation of Cool Roofs. Energies. 2019; 12(14):2787. https://doi.org/10.3390/en12142787

Chicago/Turabian Style

Park, Seong-Il; Ryu, Taek-Hyoung; Choi, Ick-Chang; Um, Jung-Sup. 2019. "Evaluating the Operational Potential of LRV Signatures Derived from UAV Imagery in Performance Evaluation of Cool Roofs" Energies 12, no. 14: 2787. https://doi.org/10.3390/en12142787

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