4.7 Article

Space-time estimation of the urban heat island in Rome (Italy): Overall assessment and effects on the energy performance of buildings

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BUILDING AND ENVIRONMENT
卷 228, 期 -, 页码 -

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2022.109878

关键词

Urban heat island; Climate data; Overheating; Experimental campaign; Buildings; Energy demand

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The study examines the impact of Urban Heat Island (UHI) on building energy performance in Rome, Italy, using data from 23 weather stations. Geographic Information System (GIS) analysis is used to explore correlations between urban features and UHI. Dynamic simulations based on different weather data are conducted to estimate heating and cooling energy needs for two types of residential buildings. The results show significant temperature differences due to UHI, with variations ranging from -33.28% to 93.25% for heating and cooling energy demands.
The work investigates the Urban Heat Island (UHI) phenomenon and its effects on building energy performance using data from 23 weather stations in Rome (Italy). The processes are facilitated by an analysis of the urban fabric using a Geographic Information System (GIS) to provide correlations between urban features and UHI. The different weather-data were also used as input to perform dynamic simulations for estimating the heating and cooling energy needs of two typical residential buildings, characterized by different construction. The results reveal considerable differences regarding temperature, wind velocity and relative humidity, as a result of a prevailing UHI phenomenon during the whole year. The temperature differences as a result of the UHI reach about 5.4 degrees C during the day and exceed 4.5 degrees C at night. The impacts on the buildings' energy demand for heating and cooling are significant. For an old building, the heating energy demands showed percentage differences ranging from -33.28% to -4.51%, and the cooling energy needs showed variations from -5.33% to 93.25%. On the other hand, considering a more recent structure, variations from -37.73% to 0.22% were obtained for the heating energy needs, and differences from -2.72% to 63.31% were identified for the cooling energy demands.

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