Annual Comparison of the Atmospheric Urban Heat Island in Rome (Italy): An Assessment in Space and Time
This study examined the atmospheric urban heat island (UHI) phenomenon within the city of Rome (Italy) and its effects on building energy demand. Weather data from 2020 and 2022 collected from six meteorological stations were considered. A Geographic Information System (GIS) was used to analyze the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/13/11/2792 |
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| author | Edoardo De Cristo Luca Evangelisti Gabriele Battista Claudia Guattari Roberto De Lieto Vollaro Francesco Asdrubali |
| author_facet | Edoardo De Cristo Luca Evangelisti Gabriele Battista Claudia Guattari Roberto De Lieto Vollaro Francesco Asdrubali |
| author_sort | Edoardo De Cristo |
| collection | DOAJ |
| description | This study examined the atmospheric urban heat island (UHI) phenomenon within the city of Rome (Italy) and its effects on building energy demand. Weather data from 2020 and 2022 collected from six meteorological stations were considered. A Geographic Information System (GIS) was used to analyze the landscape, correlating the percentage of impermeable surfaces with UHI intensity values in each area. Dynamic simulations were conducted using different climatic data to estimate the heating and cooling energy demands for two representative residential buildings. The findings revealed significant differences in the climatic conditions between urban and rural areas, primarily due to temperature increases. The UHI intensities reached maximum values of 4.67 °C and 3.54 °C in 2020 and 2022. In urban areas, the UHI has positive effects on the heating energy demand but results in a significant increase in energy demand for cooling. Considering a building type constructed between 1900 and 1950, a variation of up to 33.03% in the heating energy demand in urban areas compared to rural areas was calculated, along with a variation of up to 81% for cooling. In contrast, considering a more recent building type constructed between 1991 and 2005, the corresponding values reached up to 36.47% and 75.7%. |
| first_indexed | 2024-03-09T16:57:31Z |
| format | Article |
| id | doaj.art-4549705684874d51ab6e015a5a7b26ba |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-09T16:57:31Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-4549705684874d51ab6e015a5a7b26ba2023-11-24T14:33:23ZengMDPI AGBuildings2075-53092023-11-011311279210.3390/buildings13112792Annual Comparison of the Atmospheric Urban Heat Island in Rome (Italy): An Assessment in Space and TimeEdoardo De Cristo0Luca Evangelisti1Gabriele Battista2Claudia Guattari3Roberto De Lieto Vollaro4Francesco Asdrubali5Department of Engineering, Niccolò Cusano University, Via Don Carlo Gnocchi 3, 00166 Rome, ItalyDepartment of Industrial, Electronic and Mechanical Engineering, Roma TRE University, Via Vito Volterra 62, 00146 Rome, ItalyDepartment of Industrial, Electronic and Mechanical Engineering, Roma TRE University, Via Vito Volterra 62, 00146 Rome, ItalyDepartment of Philosophy, Communication and Performing Arts, Roma TRE University, Via Ostiense 139/10, 00154 Rome, ItalyDepartment of Industrial, Electronic and Mechanical Engineering, Roma TRE University, Via Vito Volterra 62, 00146 Rome, ItalyDepartment of International Human and Social Sciences, Perugia Foreigners’ University, Piazza Fortebraccio 4, 06122 Perugia, ItalyThis study examined the atmospheric urban heat island (UHI) phenomenon within the city of Rome (Italy) and its effects on building energy demand. Weather data from 2020 and 2022 collected from six meteorological stations were considered. A Geographic Information System (GIS) was used to analyze the landscape, correlating the percentage of impermeable surfaces with UHI intensity values in each area. Dynamic simulations were conducted using different climatic data to estimate the heating and cooling energy demands for two representative residential buildings. The findings revealed significant differences in the climatic conditions between urban and rural areas, primarily due to temperature increases. The UHI intensities reached maximum values of 4.67 °C and 3.54 °C in 2020 and 2022. In urban areas, the UHI has positive effects on the heating energy demand but results in a significant increase in energy demand for cooling. Considering a building type constructed between 1900 and 1950, a variation of up to 33.03% in the heating energy demand in urban areas compared to rural areas was calculated, along with a variation of up to 81% for cooling. In contrast, considering a more recent building type constructed between 1991 and 2005, the corresponding values reached up to 36.47% and 75.7%.https://www.mdpi.com/2075-5309/13/11/2792building energy needsclimate datageographic information systemoverheatingTRNSYS simulationurban heat island |
| spellingShingle | Edoardo De Cristo Luca Evangelisti Gabriele Battista Claudia Guattari Roberto De Lieto Vollaro Francesco Asdrubali Annual Comparison of the Atmospheric Urban Heat Island in Rome (Italy): An Assessment in Space and Time Buildings building energy needs climate data geographic information system overheating TRNSYS simulation urban heat island |
| title | Annual Comparison of the Atmospheric Urban Heat Island in Rome (Italy): An Assessment in Space and Time |
| title_full | Annual Comparison of the Atmospheric Urban Heat Island in Rome (Italy): An Assessment in Space and Time |
| title_fullStr | Annual Comparison of the Atmospheric Urban Heat Island in Rome (Italy): An Assessment in Space and Time |
| title_full_unstemmed | Annual Comparison of the Atmospheric Urban Heat Island in Rome (Italy): An Assessment in Space and Time |
| title_short | Annual Comparison of the Atmospheric Urban Heat Island in Rome (Italy): An Assessment in Space and Time |
| title_sort | annual comparison of the atmospheric urban heat island in rome italy an assessment in space and time |
| topic | building energy needs climate data geographic information system overheating TRNSYS simulation urban heat island |
| url | https://www.mdpi.com/2075-5309/13/11/2792 |
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