Jain, N;
Burman, E;
Mumovic, D;
Davies, M;
Tindale, A;
(2020)
Improving Model Calibration Methods: A Case Study Application of Incorporating IEQ with Energy.
In:
Proceedings of the 5th IBPSA-England Conference on Building Simulation and Optimization.
IBPSA: Loughborough, UK.
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Abstract
Calibrated building performance simulation models are useful in operational performance assessments. The current measurement and verification (M&V) protocols provide the statistical criteria to check model accuracy. However, they do not describe the criteria for uncertainty or the accuracy of dependent parameters such as zone environmental outputs. Mathematically, meeting just the validation criteria in a highly parameterized model and an under-determined search space can lead to unrealistic solutions. This paper explores ways to improve the quality of calibrated models and suggests a multi-level checking framework. This is implemented on a case study building. The paper describes the current industry standard of energy use validation as the lowest level of calibration with higher levels requiring further validation of disaggregated energy use, whilst meeting the indoor environment quality (IEQ) parameter validation criteria.
Type: | Proceedings paper |
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Title: | Improving Model Calibration Methods: A Case Study Application of Incorporating IEQ with Energy |
Event: | 5th IBPSA-England Conference on Building Simulation and Optimization |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://www.ibpsa.org/bso-2020-proceedings/ |
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-pp.ucl.ac.uk/id/eprint/10117731 |
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