Digital twins as a tool to achieve net zero energy scenarios in Smart Cities

The Digital Twin of a city is a digital replica of its functioning, created through layers of data obtained through sensors, IoT devices and other sources, normally powered by advanced technologies, such as artificial intelligence, machine learning and simulation. Digital Twins provide a way to simulate scenarios, predict behaviors, and test potential changes or improvements without directly impacting physical counterparts. When used to test Net Zero Energy scenarios, these tools can be used to optimize energy consumption, integrate renewable energy sources, optimize preventive maintenance, support decisions in the areas of Urban Planning and Architecture and enhance citizen engagement strategies. , based on digital interaction.
The thesis intends to analyze the use of the tool in optimizing the areas described above, testing it in case studies and validating the results obtained in research conclusions.