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| Main Authors: | , , , , , |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2022
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| Online Access: | https://doi.org/10.1051/e3sconf/202236212002 |
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Table of Contents:
- <p>Identifying the parameters of grey-box models requires enough data collected from sensors installed inside and outside of the building for long enough period of time.<br>Consequently, this process is time consuming, costly especially in large buildings that require more sensors, and can only be conducted after the building is constructed.<br>This paper introduces a procedure for identifying greybox models from white-box models. Following this procedure, grey-box models can be identified using data generated by a white-box model, without any requirement for mounting sensors in a building. This reduces the cost and time of modelling, control design and prediction. The introduced procedure is utilized to find a grey-box model of the heat dynamics of a four-floor building in Spain. Simulation results demonstrate the effectiveness of this procedure.</p>