Artificial Intelligence and a Digital Twin are effecting building energy Management
G. Deena, Kamal Gulati, Rashmi Jha, Usha Rani Bajjuri, M. Sahithullah, Manjeet Singh
Abstract
Using a three-dimensional data model connected to the Internet of Things, artificial intelligence, and machines, the study looks into the possibility of using digital twin-based techniques and methods to create an intelligent optimization and automation system to manage energy in a residential area. The Rinascimento III neighbourhood in Rome is the focus of the case study. It has 16 eight-story buildings with 216 apartments that are powered by renewable energy for 70% of the time. Because the complex has dynamic analytic algorithms built in, many different energy-efficient intervention scenarios can be tested to make sure the real comfort and temperature levels of the complex are kept. At the same time, a reliable IT infrastructure based on advanced computing paradigms that can deliver data is being designed and put into place. To meet NZEB criteria, a method was created to analyse the efficiency and effectiveness of integrated systems for producing renewable energy from solar energy. This is needed to raise the threshold of self-produced energy (near zero energy buildings).