Method for Determining Design Heating Load of Rural Residential Buildings Considering Indoor Temperature Uncertainty
In rural locations, the application of clean heating technologies requires an appropriate design heating load. However, the variation characteristics of indoor temperatures in rural residential buildings are rarely taken into consideration by traditional techniques of calculating the design heating...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/5/1835 |
| _version_ | 1797264857411616768 |
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| author | Haiyan Meng Zhe Tian Xia Wu Yakai Lu Haoran Mai |
| author_facet | Haiyan Meng Zhe Tian Xia Wu Yakai Lu Haoran Mai |
| author_sort | Haiyan Meng |
| collection | DOAJ |
| description | In rural locations, the application of clean heating technologies requires an appropriate design heating load. However, the variation characteristics of indoor temperatures in rural residential buildings are rarely taken into consideration by traditional techniques of calculating the design heating load, which may result in over- or under-design. As a result, a new method that took the uncertainty of the indoor temperature into account was presented to calculate the design heating load for rural residential buildings. First, for the “part-time, part-space” heating mode in rural residential buildings, an indoor temperature stochastic model was established to generate multiple indoor temperature scenarios; on the basis of this, heating loads under these scenarios were simulated and their probability distributions were counted; lastly, the design heating load was selected from the load probability distribution based on a predetermined confidence level. When the new method and the traditional method were compared, it was discovered that the new method can offer a more thorough guide to the determination of the design load value for the design of heating systems in rural residential buildings, while the traditional method’s result might not satisfy the reliability requirements. |
| first_indexed | 2024-04-25T00:35:34Z |
| format | Article |
| id | doaj.art-8caf5edcf5bb4d498ea44f0ff1079625 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-04-25T00:35:34Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-8caf5edcf5bb4d498ea44f0ff10796252024-03-12T16:39:09ZengMDPI AGApplied Sciences2076-34172024-02-01145183510.3390/app14051835Method for Determining Design Heating Load of Rural Residential Buildings Considering Indoor Temperature UncertaintyHaiyan Meng0Zhe Tian1Xia Wu2Yakai Lu3Haoran Mai4School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Environmental Science and Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Environmental Science and Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, ChinaSchool of Environmental Science and Engineering, Tianjin University, Tianjin 300072, ChinaIn rural locations, the application of clean heating technologies requires an appropriate design heating load. However, the variation characteristics of indoor temperatures in rural residential buildings are rarely taken into consideration by traditional techniques of calculating the design heating load, which may result in over- or under-design. As a result, a new method that took the uncertainty of the indoor temperature into account was presented to calculate the design heating load for rural residential buildings. First, for the “part-time, part-space” heating mode in rural residential buildings, an indoor temperature stochastic model was established to generate multiple indoor temperature scenarios; on the basis of this, heating loads under these scenarios were simulated and their probability distributions were counted; lastly, the design heating load was selected from the load probability distribution based on a predetermined confidence level. When the new method and the traditional method were compared, it was discovered that the new method can offer a more thorough guide to the determination of the design load value for the design of heating systems in rural residential buildings, while the traditional method’s result might not satisfy the reliability requirements.https://www.mdpi.com/2076-3417/14/5/1835design heating loadprobabilistic methodindoor temperature uncertaintyrural residential buildingconfidence level |
| spellingShingle | Haiyan Meng Zhe Tian Xia Wu Yakai Lu Haoran Mai Method for Determining Design Heating Load of Rural Residential Buildings Considering Indoor Temperature Uncertainty Applied Sciences design heating load probabilistic method indoor temperature uncertainty rural residential building confidence level |
| title | Method for Determining Design Heating Load of Rural Residential Buildings Considering Indoor Temperature Uncertainty |
| title_full | Method for Determining Design Heating Load of Rural Residential Buildings Considering Indoor Temperature Uncertainty |
| title_fullStr | Method for Determining Design Heating Load of Rural Residential Buildings Considering Indoor Temperature Uncertainty |
| title_full_unstemmed | Method for Determining Design Heating Load of Rural Residential Buildings Considering Indoor Temperature Uncertainty |
| title_short | Method for Determining Design Heating Load of Rural Residential Buildings Considering Indoor Temperature Uncertainty |
| title_sort | method for determining design heating load of rural residential buildings considering indoor temperature uncertainty |
| topic | design heating load probabilistic method indoor temperature uncertainty rural residential building confidence level |
| url | https://www.mdpi.com/2076-3417/14/5/1835 |
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