Urban Overheating Impact: A Case Study on Building Energy Performance
It is well known that the construction sector is one of the main sectors responsible for energy consumption in the current global energy scenario. Thus, buildings’ energy software become essential tools for achieving energy savings. Climate and its implications for building energy performance are a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/18/8327 |
| _version_ | 1797520426733142016 |
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| author | Gabriele Battista Marta Roncone Emanuele de Lieto Vollaro |
| author_facet | Gabriele Battista Marta Roncone Emanuele de Lieto Vollaro |
| author_sort | Gabriele Battista |
| collection | DOAJ |
| description | It is well known that the construction sector is one of the main sectors responsible for energy consumption in the current global energy scenario. Thus, buildings’ energy software become essential tools for achieving energy savings. Climate and its implications for building energy performance are a critical threat. Hence, the aim of this study is to evaluate the climatic conditions in urban and suburban areas of Rome, estimating the incidence of the Urban Heat Island (UHI) phenomenon. To this end, meteorological data obtained from three different areas (two airports and one inside the city) were examined and compared. Then, TRNSYS software was used to create a simple building, in order to assess the impacts of various climatic situations on building energy performance. The study revealed significant percentage differences both in terms of energy needs for heating, from −20.1% to −24.9% when the reference stations are, respectively, Fiumicino and Ciampino, and for cooling, with a wider range, from +48.7% to +87.5% when the reference stations are Ciampino and Fiumicino. Therefore, the study showed the importance of more accurately selecting sets of climate values to be included in energy simulations. |
| first_indexed | 2024-03-10T07:56:36Z |
| format | Article |
| id | doaj.art-f4f724ba37bc4c8581c0040f26862cac |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T07:56:36Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-f4f724ba37bc4c8581c0040f26862cac2023-11-22T11:50:57ZengMDPI AGApplied Sciences2076-34172021-09-011118832710.3390/app11188327Urban Overheating Impact: A Case Study on Building Energy PerformanceGabriele Battista0Marta Roncone1Emanuele de Lieto Vollaro2Department of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome, ItalyDepartment of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome, ItalyDepartment of Architecture, Roma Tre University, Largo Giovanni Battista Marzi 10, 00154 Rome, ItalyIt is well known that the construction sector is one of the main sectors responsible for energy consumption in the current global energy scenario. Thus, buildings’ energy software become essential tools for achieving energy savings. Climate and its implications for building energy performance are a critical threat. Hence, the aim of this study is to evaluate the climatic conditions in urban and suburban areas of Rome, estimating the incidence of the Urban Heat Island (UHI) phenomenon. To this end, meteorological data obtained from three different areas (two airports and one inside the city) were examined and compared. Then, TRNSYS software was used to create a simple building, in order to assess the impacts of various climatic situations on building energy performance. The study revealed significant percentage differences both in terms of energy needs for heating, from −20.1% to −24.9% when the reference stations are, respectively, Fiumicino and Ciampino, and for cooling, with a wider range, from +48.7% to +87.5% when the reference stations are Ciampino and Fiumicino. Therefore, the study showed the importance of more accurately selecting sets of climate values to be included in energy simulations.https://www.mdpi.com/2076-3417/11/18/8327Urban Heat Island (UHI)building energy simulationsenergy needsweather dataTRNSYS |
| spellingShingle | Gabriele Battista Marta Roncone Emanuele de Lieto Vollaro Urban Overheating Impact: A Case Study on Building Energy Performance Applied Sciences Urban Heat Island (UHI) building energy simulations energy needs weather data TRNSYS |
| title | Urban Overheating Impact: A Case Study on Building Energy Performance |
| title_full | Urban Overheating Impact: A Case Study on Building Energy Performance |
| title_fullStr | Urban Overheating Impact: A Case Study on Building Energy Performance |
| title_full_unstemmed | Urban Overheating Impact: A Case Study on Building Energy Performance |
| title_short | Urban Overheating Impact: A Case Study on Building Energy Performance |
| title_sort | urban overheating impact a case study on building energy performance |
| topic | Urban Heat Island (UHI) building energy simulations energy needs weather data TRNSYS |
| url | https://www.mdpi.com/2076-3417/11/18/8327 |
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