Paper Conference

Proceedings of Building Simulation 2021: 17th Conference of IBPSA


Impact of ELA calibration methods on building energy model fidelity

Mohanned M Althobaiti 1,2, Godfried L Augenbroe 1
1 Georgia Institute of Technology, Atlanta, USA
2 King Saud University, Riyadh, KSA

Abstract: As building performance is increasingly improved and building energy consumption decreases, a greater percentage of the total energy loss of a building occurs through envelope leakage. This leakage is characterized by the effective leakage area or ELA. Current building performance simulation (BPS) uses software modules that approximately calculate envelope infiltration, but the literature shows that their calibration and validation is still unsatisfactory. This paper develops a new framework to address calibration and validation for different combinations of data and model fidelity, where each combination leads to probability distributions of the calibration parameter set. It does so by conducting calibration for different experiments, i.e., with different data resolutions, and for different model fidelities. The calibration is anchored around ELA and its impact on “best estimates” of other parameters is verified. Key innovation • Introduce a calibration method to reduce the uncertainty in parameters interaction. • Improve the effectiveness of the calibration process. • Addressing calibration and validation for different combinations of data and model fidelity. • Enhance our capability in predicting future building energy use. Practical implication Relying on underdeveloped, or more specifically “uncalibrated”, models results on large discrepancy between prediction and actual. As a result, this will undermine the market’s confidence in energy-efficient buildings. Therefore, adequately predicting building energy consumption is vital to the successful deployment of building energy assessments and retrofits.
Keywords: Uncertainty analysis, Energy modeling, Effective leakage area, Model fidelity
Pages: 1611 - 1618