Artículo
Bayesian calibration of building energy models for uncertainty analysis through test cells monitoring
Autor/es | Calama-González, Carmen María
Symonds, Phil Petrou, Giorgos Suárez, Rafael León-Rodríguez, Ángel Luis |
Departamento | Universidad de Sevilla. Departamento de Construcciones Arquitectónicas I (ETSA) |
Fecha de publicación | 2021-01-15 |
Fecha de depósito | 2022-07-21 |
Publicado en |
|
Premios | Premio Trimestral Publicación Científica Destacada de la US. Instituto Universitario de Arquitectura y Ciencias de la Construcción |
Resumen | Improving the energy efficiency of existing buildings is a priority for meeting energy consumption and CO2 emission targets in buildings. Building simulation tools play a crucial role in evaluating the performance of energy ... Improving the energy efficiency of existing buildings is a priority for meeting energy consumption and CO2 emission targets in buildings. Building simulation tools play a crucial role in evaluating the performance of energy retrofit options. In this paper, a Bayesian calibration approach is applied to reduce the discrepancies between measured and simulated temperature data. Through its application to a test cell case study, the incorporation of sensitivity analysis and Bayesian calibration techniques are proven to improve the level of agreement between on-site measurements and simulated outputs, whilst accounting for both experimental and simulation uncertainties. The accuracy of a building simulation model developed using EnergyPlus was evaluated before and after calibration. Uncalibrated models were within the uncertainty ranges specified by the ASHARE Guidelines, with hourly simulation data over-predicting measurements by 3.2 °C on average. After Bayesian calibration, the average maximum temperature difference was reduced to around 0.68 °C, an improvement of almost 80%. |
Cita | Calama González, C.M., Symonds, P., Petrou, G., Suárez Medina, R.C. y León Rodríguez, Á.L. (2021). Bayesian calibration of building energy models for uncertainty analysis through test cells monitoring. Applied Energy, 282 (116118) |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Bayesian calibration of building ... | 8.043Mb | [PDF] | Ver/ | |