Zhou, Jingfeng;
Fennell, Pamela;
Korolija, Ivan;
Ruyssevelt, Paul;
(2025)
Percentage-based thermal zoning approach for enhanced stock-level building energy performance modelling.
Energy and Buildings
, 329
, Article 115231. 10.1016/j.enbuild.2024.115231.
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Abstract
For stock-level building energy modelling, commonly used single-zone-per-floor or core-perimeter thermal zoning methods may fail to capture the complex energy dynamics of diverse building interiors, especially for non-domestic buildings, leading to inaccurate energy consumption evaluations. To address the gap, this research introduces a novel percentage-based thermal zoning method, dissecting the building physics models based on internal activity percentages for relatively accurate simulations. Using hotel building stock in England and Wales as the case, the proposed approach demonstrates significant improvements over core-perimeter methods by better capturing functional segmentation. Key findings indicate that different zoning configurations drastically impact energy demand estimates, with heating demands increasing by up to 8.7%, cooling demands surging by up to 49 times, and electrical demands rising by up to 51% compared to unsegmented models. This approach features the importance of detailed thermal zone allocation for accurate building energy performance assessment, supporting urban energy management and sustainable planning.
| Type: | Article |
|---|---|
| Title: | Percentage-based thermal zoning approach for enhanced stock-level building energy performance modelling |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.enbuild.2024.115231 |
| Publisher version: | https://doi.org/10.1016/j.enbuild.2024.115231 |
| Language: | English |
| Additional information: | © 2024 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Non-domestic buildings, Building stock analysis, Building physics simulation, Thermal zoning approach, Percentage-based segmentation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10202840 |
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