2020
DOI: 10.3389/fbuil.2020.553946
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An Integrated Microclimate-Energy Demand Simulation Method for the Assessment of Urban Districts

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Cited by 30 publications
(11 citation statements)
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References 47 publications
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“…It is characterized by the fact that ambient temperatures in urban areas are higher than in rural areas (Martin-Vide et al, 2015). Many studies (Santamouris, 2007;Santamouris, 2014;Manoli et al, 2019;Jain et al, 2020;Mosteiro-Romero et al, 2020;Hong et al, 2021) have clearly shown that UHI can significantly affect the energy consumption of buildings in different cities around the world. During the heating season in cold and temperate climates, the heat island reduces energy consumption in urban centers compared to that in suburban areas.…”
Section: Mitigating the Urban Heat Island Phenomenonmentioning
confidence: 99%
“…It is characterized by the fact that ambient temperatures in urban areas are higher than in rural areas (Martin-Vide et al, 2015). Many studies (Santamouris, 2007;Santamouris, 2014;Manoli et al, 2019;Jain et al, 2020;Mosteiro-Romero et al, 2020;Hong et al, 2021) have clearly shown that UHI can significantly affect the energy consumption of buildings in different cities around the world. During the heating season in cold and temperate climates, the heat island reduces energy consumption in urban centers compared to that in suburban areas.…”
Section: Mitigating the Urban Heat Island Phenomenonmentioning
confidence: 99%
“…Previous papers have explored the effects of occupant modeling approaches on the demands predicted by the UBEM City Energy Analyst (CEA) [20,27]. In addition, the effects of the urban heat island on the space cooling demand were analyzed by connecting CEA to microclimate simulation ENVI-met [28,29]. The computational expense of the microclimate simulations, however, restricted the analysis to a single day.…”
Section: Goal and Scope Of This Papermentioning
confidence: 99%
“…In a previous study, the effects of urban microclimate on the space cooling demand of the area were estimated by connecting CEA to microclimate simulation ENVI-met [28]. However, the high computational expense of the ENVI-met model restricted the analysis to a single day.…”
Section: Effects Of Urban Climatementioning
confidence: 99%
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