Yang, Jingxuan;
Burman, Esfand;
Mumovic, dejan;
(2024)
Comparison of performance modelling approaches under different integrations of multi-dimensional data for a UK school building.
In: Berardi, U, (ed.)
Multiphysics and Multiscale Building Physics.
(pp. pp. 86-92).
Springer: Singapore.
Text
Jingxuan Yang_ComparisonOfModellingApproaches.pdf - Accepted Version Access restricted to UCL open access staff until 20 December 2025. Download (195kB) |
Abstract
This paper investigates the differences between the four modelling approaches using a school building as a case study. The four modelling approaches are GIS-based modelling, GIS-based modelling coupled with the input data used to produce Energy Performance Certificates (EPCs), template HVAC modelling in accordance with the National Calculation Methodology (NCM) in England and detailed component level HVAC modelling. The process of collecting and integrating modelling inputs from a range of databases and tools is demonstrated. The findings indicate that there are significant differences between the simulated annual energy consumption of the four baseline models and the measured data. Modelling approaches that incorporate higher levels of detail possess greater capability to simulate the actual operation of the system but tend to require more effort to calibrate in order to minimize additional uncertainty. Besides, the introduction of EPC input files may contribute to a rapid and reliable estimation of electricity consumption, however, the generation of EPC input files could have information biases introduced by the variability of modelers.
Type: | Proceedings paper |
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Title: | Comparison of performance modelling approaches under different integrations of multi-dimensional data for a UK school building |
Event: | International Conference of Building Physics 2024 |
Location: | Toronto, Canada |
Dates: | 25th-27th July 2024 |
DOI: | 10.1007/978-981-97-8309-0_12 |
Publisher version: | https://doi.org/10.1007/978-981-97-8309-0_12 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
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/10195313 |
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