 Building simulations are often used to predict the energy consumption of buildings before they are constructed or renovated. However, these predictions may not always match up with actual energy consumption, which can lead to costly mistakes if not identified early enough. Therefore, it is important to calibrate building simulation models so that they accurately reflect real-world conditions. Calibration involves adjusting the parameters of the model to better represent reality, while sensitivity analysis helps to identify the parameters that have the greatest impact on the model's output. Uncertainty analysis is then used to quantify the confidence level of the model's prediction. These three methods are essential for ensuring accurate building simulations and reducing the risk of costly errors. This article was authored by Enrico Fabrizio and Valentina Manetti.