The effect of regional, urban and future climate on indoor overheating – A simplified approach based on measured weather data, statistical evaluation, and urban climate effects for building performance simulations
As summer heat events cause a further increase of heat load in buildings, the need for indoor overheating assessment by building performance simulations (BPS) for planning is rising. Besides other boundary conditions, the selection of proper weather data is known to significantly influence the outco...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | City and Environment Interactions |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590252024000230 |
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| author | Tim Felix Kriesten Astrid Ziemann Valeri Goldberg Christoph Schünemann |
| author_facet | Tim Felix Kriesten Astrid Ziemann Valeri Goldberg Christoph Schünemann |
| author_sort | Tim Felix Kriesten |
| collection | DOAJ |
| description | As summer heat events cause a further increase of heat load in buildings, the need for indoor overheating assessment by building performance simulations (BPS) for planning is rising. Besides other boundary conditions, the selection of proper weather data is known to significantly influence the outcome of overheating evaluation. Our research pointed out that current standards do not consider weather data including regional differences, urban climate effects or future climate in a sufficient way.We suggest a new approach to create weather data sets for an average present and an average future summer based on meteorological data from weather stations. Therefore, we define characteristic summer values as indicators. In addition, urban climate is taken into account by mapping the outdoor temperature differences between urban areas and surrounding countryside using Local Climate Zones. We analyse the developed weather data sets for four regions in Germany by comparing the indoor overheating risk by BPS for an exemplary building. The results show that the overheating risk differs significantly between the regions. It is very low for the region of Hamburg, moderate for Dresden and Potsdam and highly critical for Stuttgart. The indoor heat load is at least more than doubled if the building is located in the city centre instead of its surroundings or if future climate conditions are applied. Furthermore, high night-time outdoor temperatures appear to significantly increase indoor overheating. Our approaches are first suggestions and show the relevance of regional and urban climate for indoor overheating assessment by BPS. |
| format | Article |
| id | doaj-art-e6418a2df8114f67a002b4ca04c3c7ab |
| institution | Kabale University |
| issn | 2590-2520 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | City and Environment Interactions |
| spelling | doaj-art-e6418a2df8114f67a002b4ca04c3c7ab2024-12-12T05:22:52ZengElsevierCity and Environment Interactions2590-25202024-12-0124100163The effect of regional, urban and future climate on indoor overheating – A simplified approach based on measured weather data, statistical evaluation, and urban climate effects for building performance simulationsTim Felix Kriesten0Astrid Ziemann1Valeri Goldberg2Christoph Schünemann3Leibniz Institute of Ecological Urban and Regional Development, Weberplatz 1, 01217 Dresden, GermanyTU Dresden, Chair of Meteorology, Pienner Str. 23, 01737 Tharandt, GermanyTU Dresden, Chair of Meteorology, Pienner Str. 23, 01737 Tharandt, GermanyLeibniz Institute of Ecological Urban and Regional Development, Weberplatz 1, 01217 Dresden, Germany; Corresponding author.As summer heat events cause a further increase of heat load in buildings, the need for indoor overheating assessment by building performance simulations (BPS) for planning is rising. Besides other boundary conditions, the selection of proper weather data is known to significantly influence the outcome of overheating evaluation. Our research pointed out that current standards do not consider weather data including regional differences, urban climate effects or future climate in a sufficient way.We suggest a new approach to create weather data sets for an average present and an average future summer based on meteorological data from weather stations. Therefore, we define characteristic summer values as indicators. In addition, urban climate is taken into account by mapping the outdoor temperature differences between urban areas and surrounding countryside using Local Climate Zones. We analyse the developed weather data sets for four regions in Germany by comparing the indoor overheating risk by BPS for an exemplary building. The results show that the overheating risk differs significantly between the regions. It is very low for the region of Hamburg, moderate for Dresden and Potsdam and highly critical for Stuttgart. The indoor heat load is at least more than doubled if the building is located in the city centre instead of its surroundings or if future climate conditions are applied. Furthermore, high night-time outdoor temperatures appear to significantly increase indoor overheating. Our approaches are first suggestions and show the relevance of regional and urban climate for indoor overheating assessment by BPS.http://www.sciencedirect.com/science/article/pii/S2590252024000230Indoor heat loadMeteorological dataUrban heat islandLocal climate zonesHeat wavesNight-time temperatures |
| spellingShingle | Tim Felix Kriesten Astrid Ziemann Valeri Goldberg Christoph Schünemann The effect of regional, urban and future climate on indoor overheating – A simplified approach based on measured weather data, statistical evaluation, and urban climate effects for building performance simulations City and Environment Interactions Indoor heat load Meteorological data Urban heat island Local climate zones Heat waves Night-time temperatures |
| title | The effect of regional, urban and future climate on indoor overheating – A simplified approach based on measured weather data, statistical evaluation, and urban climate effects for building performance simulations |
| title_full | The effect of regional, urban and future climate on indoor overheating – A simplified approach based on measured weather data, statistical evaluation, and urban climate effects for building performance simulations |
| title_fullStr | The effect of regional, urban and future climate on indoor overheating – A simplified approach based on measured weather data, statistical evaluation, and urban climate effects for building performance simulations |
| title_full_unstemmed | The effect of regional, urban and future climate on indoor overheating – A simplified approach based on measured weather data, statistical evaluation, and urban climate effects for building performance simulations |
| title_short | The effect of regional, urban and future climate on indoor overheating – A simplified approach based on measured weather data, statistical evaluation, and urban climate effects for building performance simulations |
| title_sort | effect of regional urban and future climate on indoor overheating a simplified approach based on measured weather data statistical evaluation and urban climate effects for building performance simulations |
| topic | Indoor heat load Meteorological data Urban heat island Local climate zones Heat waves Night-time temperatures |
| url | http://www.sciencedirect.com/science/article/pii/S2590252024000230 |
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