| Download | - View accepted manuscript: Impact of influential factors on gray-box model performance for identification of building thermal properties: numerical and analytical analyses (PDF, 1.7 MiB)
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| Author | Search for: Hou, Danlin; Search for: Cant, Kevin; Search for: Qin, Qiwei; Search for: Awad, Hadia1; Search for: Bahiraei, Farid1; Search for: Evins, Ralph |
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| Affiliation | - National Research Council of Canada. Construction
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| Format | Text, Article |
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| Conference | 18th IBPSA International Conference and Exhibition Building Simulation 2023, BS 2023, September 4-6, 2023, Shanghai, china |
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| Abstract | A full-blown global energy crisis and intensive global warming have made it urgent to develop sustainable buildings, significantly contributing to energy consumption and related greenhouse gas emissions. How to prioritize existing buildings' retrofit plays a key role in the sustainability process. Thanks to the development of sensor techniques and data engineering, thermostat data has become more popular due to its easier acquisition. Researchers have explored the feasibility and performance of using thermostat data as an alternative to energy data, especially in building retrofit estimation, and the results are promising. This paper investigates the impact of influential factors of Newton's law of cooling on the reliability and accuracy of its application to the identification of building thermal properties. The authors quantified the influential factors' impact. Both numerical and analytical analyses are conducted. In addition, the impact of the building's complexity on the estimation performance is investigated. The authors also propose the concept of time constant intensity in order to prioritize building retrofits rather than the conventional time constant. |
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| Publication date | 2023-09-04 |
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| Publisher | International Building Performance Simulation Association |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | d6f30b1c-3537-4dcd-87ca-e0df5c365fe3 |
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| Record created | 2023-09-10 |
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| Record modified | 2024-02-01 |
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