This master's thesis presents a place-based approach that utilizes energy performance certificates as the statistical model for building energy modeling. The aim is to use energy modeling as a decision tool to assess the energy performance of residential buildings in Milan and provide input data references for available open databases in Italy. Using the open-source software QGIS, different energy-related variables were calculated, including heating and domestic hot water consumption, and potential solar production. The analysis of demand/supply profiles helps to increase self-consumption and self-sufficiency in the urban context. The study highlights the main parameters affecting building energy consumption, such as volume, S/V ratio, period of construction, system efficiency, and solar exposition, and evaluates the spatial distribution of energy use within urban environments.