Evaluating the impact of data quality on the accuracy of the predicted energy performance for a fixed building design using probabilistic energy performance simulations and uncertainty analysis
Probabilistic building performance simulations enables a method for evaluating how the data quality used to create input models affects the accuracy of the predicted energy performance. The method described in this paper explores an uncertainty analysis of a fixed building design and system by including the discrepancy between the declared property of a product, material, or behaviour quantified u
