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Spatiotemporal patterns of street-level solar radiation estimated using Google Street View in a high-density urban environment
Abstract This study presents a method for calculating solar irradiance of street canyons using Google Street View (GSV) images and investigates its spatiotemporal patterns in a high-density urban environment. In this method, GSV images provide a unique way to characterize the street morphology from which the diurnal solar path and solar radiation exposure can be estimated in a street canyon. Verifications of our developed method using free-horizon HKO observations and street-level field measurements show that both the calculated clear-sky and all-sky solar irradiance of street canyons well capture the diurnal and seasonal cycles. In the high-density urban areas of Hong Kong, we found that (1) the lowest monthly averaged solar irradiations in winter are 6.6 (December) and 4.6 (February) MJ/m2/day, and the highest values in summer are 17.3 (July) and 10.8 (June) MJ/m2/day for clear-sky and all-sky calculations, respectively; (2) The spatial variability of solar irradiation is closely related to sky view factor (SVF). In summer, the irradiation in a low-rise region (SVF0.7) on average is about three times that in a high-rise region (SVF0.3), and they differ by about five times in winter; (3) Street orientation has a significant impact on the solar radiation received in a high-density street canyon. In general, street canyons with West-East orientation receive higher solar irradiation during summer and lower during winter compared to those with South-North orientation. The generated maps of street-level solar irradiation may help researchers investigate the interactions between solar radiation, human health and urban thermal balance in high-density urban environments.
Highlights A method to estimate street-level solar irradiance using Google Street View images is proposed. Evaluation using free-horizon and street-level measurements is implemented. Spatiotemporal patterns of street-level solar irradiation are accurately quantified. Direct and diffuse components of solar irradiation are quantified separately. Effect of street canyon geometries and morphologies on solar irradiation is analyzed.
Spatiotemporal patterns of street-level solar radiation estimated using Google Street View in a high-density urban environment
Abstract This study presents a method for calculating solar irradiance of street canyons using Google Street View (GSV) images and investigates its spatiotemporal patterns in a high-density urban environment. In this method, GSV images provide a unique way to characterize the street morphology from which the diurnal solar path and solar radiation exposure can be estimated in a street canyon. Verifications of our developed method using free-horizon HKO observations and street-level field measurements show that both the calculated clear-sky and all-sky solar irradiance of street canyons well capture the diurnal and seasonal cycles. In the high-density urban areas of Hong Kong, we found that (1) the lowest monthly averaged solar irradiations in winter are 6.6 (December) and 4.6 (February) MJ/m2/day, and the highest values in summer are 17.3 (July) and 10.8 (June) MJ/m2/day for clear-sky and all-sky calculations, respectively; (2) The spatial variability of solar irradiation is closely related to sky view factor (SVF). In summer, the irradiation in a low-rise region (SVF0.7) on average is about three times that in a high-rise region (SVF0.3), and they differ by about five times in winter; (3) Street orientation has a significant impact on the solar radiation received in a high-density street canyon. In general, street canyons with West-East orientation receive higher solar irradiation during summer and lower during winter compared to those with South-North orientation. The generated maps of street-level solar irradiation may help researchers investigate the interactions between solar radiation, human health and urban thermal balance in high-density urban environments.
Highlights A method to estimate street-level solar irradiance using Google Street View images is proposed. Evaluation using free-horizon and street-level measurements is implemented. Spatiotemporal patterns of street-level solar irradiation are accurately quantified. Direct and diffuse components of solar irradiation are quantified separately. Effect of street canyon geometries and morphologies on solar irradiation is analyzed.
Spatiotemporal patterns of street-level solar radiation estimated using Google Street View in a high-density urban environment
Gong, Fang-Ying (Autor:in) / Zeng, Zhao-Cheng (Autor:in) / Ng, Edward (Autor:in) / Norford, Leslie K. (Autor:in)
Building and Environment ; 148 ; 547-566
12.10.2018
20 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
British Library Online Contents | 2019
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