The building sector holds substantial potential for significantly reducing greenhouse gas emissions and the goal is to diminish the negative impact of buildings on the environment and people through harmonious integration into the urban environment using innovative digital tools. This paper presents the results of implementing a Digital Twin for a residential building with a total footprint of 96 m2, a built area of 170 m2, a heated area of 118 m2, and a total volume of 400 m3. The considered building incorporates a wide range of active and passive strategies to reduce energy consumption, such as shading systems, photovoltaic systems, a heat pump, and facades with integrated phase change materials. This study highlights the synergy between Building Information Modeling (BIM), advanced energy simulations, and real-time data analysis in optimizing residential energy performance. Through calibrated simulations in IES VE and continuous data acquisition using iSCAN, discrepancies between theoretical models and real-world performance are quantified, revealing inefficiencies in domestic hot water systems, intelligent lighting, and adaptive shading solutions.