2014
DOI: 10.1016/j.scs.2014.02.002
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Cool materials impact at district scale—Coupling building energy and microclimate models

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Cited by 76 publications
(42 citation statements)
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References 33 publications
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“…This mapping may be supported by infrared camera measures or in situ measurements. The UHI identification may also be simulated by microclimate models at different scales (Bozonnet, Belarbi, & Allard, 2007;Bozonnet, Musy, Calmet, & Rodriguez, 2015), by taking into account buildings characteristics Lapisa, Bozonnet, Abadie, & Salagnac, 2013) (shapes, orientation, materials, systems) and its surrounding environment (Gros, Bozonnet, & Inard, 2014) (vegetation, surface and pavement coatings, anthropogenic heat emission, etc.). This would improve decision making to new urban development, according to environmental strategies and required densification of cities.…”
Section: Discussionmentioning
confidence: 99%
“…This mapping may be supported by infrared camera measures or in situ measurements. The UHI identification may also be simulated by microclimate models at different scales (Bozonnet, Belarbi, & Allard, 2007;Bozonnet, Musy, Calmet, & Rodriguez, 2015), by taking into account buildings characteristics Lapisa, Bozonnet, Abadie, & Salagnac, 2013) (shapes, orientation, materials, systems) and its surrounding environment (Gros, Bozonnet, & Inard, 2014) (vegetation, surface and pavement coatings, anthropogenic heat emission, etc.). This would improve decision making to new urban development, according to environmental strategies and required densification of cities.…”
Section: Discussionmentioning
confidence: 99%
“…All the results show the ability of QUIC to provide accurate airflow fields of urban canopies. The velocities calculated with QUIC are then used to compute the air mass flows for a zonal meshing between buildings [35] in EnviBatE. Lastly, the temperature fields between buildings at each time step is computed using the thermal balance of the corresponding cell, including heat sources [35].…”
Section: Airflow Modelsmentioning
confidence: 99%
“…It should be noticed that the well-known weighted factors method was validated through several studies [52]. These methods are used in EnviBatE to calculate building energy demand for many buildings [35]. For EnviBatE software, the meshes were adapted to model heat fluxes and air renewal between building indoor and outdoor at the district scale depending on the type of flux and the geometry.…”
Section: Building Energy Modelsmentioning
confidence: 99%
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“…It is due to multiple factors, such as solar radiation trapping and wind shelters caused by urban street canyon geometry, urban greenhouse effect, diminution of evaporative surfaces and storage of sensible heat in the city fabric, and released anthropogenic heat [3]. Although mitigating the heating energy requirement in winter, UHI increases the cooling energy demand in summer.…”
Section: Introductionmentioning
confidence: 99%