abstract
A correct thermal building design is a key issue on the viewpoint of energy-efficiency targets established by the United Nations Framework Convention on Climate Change. Dynamic energy simulation tools are often used to predict the thermal performance of new buildings or to recommend energy retrofit packages for refurbishment. To reduce uncertainties in model input definition, the dynamic calibration models assumes a crucial role in the accuracy of energy modelling. Thus, the research goal consists in the development of a calibration approach to reduce the differences between building simulation and real monitored data (performance gap) using a hybrid evolutionary algorithm in dynamic building simulation. A University building has been monitored over one year and the registered data was used to calibrate the numerical model and to validate the calibration methodology proposed. The results attained reveal agreement between predicted and real data with a CV RMSE index attained between 4.5 and 5.4.
keywords
ENERGY PERFORMANCE; CALIBRATION; MODELS; OPTIMIZATION; UNCERTAINTY; VALIDATION; FRAMEWORK; PROGRAMS
subject category
Construction & Building Technology; Engineering
authors
Figueiredo, A; Kampf, J; Vicente, R; Oliveira, R; Silva, T
our authors
Tiago Manuel Rodrigues da Silva
CollaboratorGroups
acknowledgements
The authors acknowledge the support provided by the Portuguese Foundation for Science and Technology, under the Project Success (Sustainability of shallow geothermal systems. Applied studies to southern Europe climates PTDC/ECM-GEO/0728/2014).