Chen, Guokai;
Korolija, Ivan;
Rovas, Dimitrios;
(2023)
Multi-level identification performance for RC-based control-oriented model of the UK office archetype.
In:
Proceedings of Building Simulation 2023: 18th Conference of IBPSA.
International Building Performance Simulation Association (IBPSA): Shanghai, China.
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Abstract
Resistance-capacitance-based grey-box models are widely adopted as one of the modelling solutions in model-predictive controls. These models have been evaluated to determine the optimal level of complexity in standardised cases. However, further evaluations are needed to draw more universal conclusions across diverse scenarios, modelling approaches, and operational conditions. In this study, a series of grey-box models were identified by MPCPy based on a British office model, followed by a parametric analysis on model format, modelling details, training data volume, and validation periods. The R2C2 model yielded the most accurate predictions with less deviations, and more accurate estimations were observed in multi-zone models. Additionally, it is suggested to consider direct normal irradiance as a modelling input in multi-zone models, and adaptive re-calibrations are recommended when significant changes in solar radiations occur.
| Type: | Proceedings paper |
|---|---|
| Title: | Multi-level identification performance for RC-based control-oriented model of the UK office archetype |
| Event: | 18th Conference of the International Building Performance Simulation Association, BS 2023 |
| Location: | Shanghai, China |
| Dates: | 4 Sep 2023 - 6 Sep 2023 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.26868/25222708.2023.1261 |
| Publisher version: | https://doi.org/10.26868/25222708.2023.1261 |
| 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/10178839 |
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