Issue |
E3S Web Conf.
Volume 356, 2022
The 16th ROOMVENT Conference (ROOMVENT 2022)
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Article Number | 01039 | |
Number of page(s) | 4 | |
Section | Air Distribution and Ventilation Performance | |
DOI | https://doi.org/10.1051/e3sconf/202235601039 | |
Published online | 31 August 2022 |
Using a calibrated multi-zone building model to analyse the impact of occupant behaviour on building performance
Institude for Building Energetics, Thermotechnology and Energy Storage (IGTE), University of Stuttgart, Germany
* Corresponding author: dirk.schwede@igte.uni-stuttgart.de
Building performance simulation has been commonly used for performance-based building design. However, the simulation accuracy is closely related to the model and input parameters regarding the building physics and occupant behaviour. To check and improve the accuracy of the simulation, the model usually needs to be calibrated using measured data. Uncertain parameters are adjusted in this process to reduce the discrepancy between simulation and measurement results. Although occupant behaviour has a significant impact on building performance, it has not been considered a key component of model calibration in previous studies. Model calibration using only indoor environmental and energy consumption data without considering occupant behaviour is unreliable. In this context, a step-by-step model calibration approach is proposed in this study to optimise the estimated parameters in typical operational scenarios where occupant behaviour can be conveniently determined. A case study shows that although the simulation results for apartment energy use are similar before and after model calibration, differences can be observed in the evaluation of indoor air quality and thermal environment. Simulation results using occupant behaviour based on design standards are significantly deviated from the measured values, compared to that using actual occupant behaviour.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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