DITUR, or How to Create a Digital Twin for Assisting Climate Action Plans

“Energy efficiency” is often used in discussions around combating climate change and global warming. It has become an essential part of political agendas all over the world. Simply put, “energy efficiency” means using less energy for the same job. Every year, much of our energy consumption (through products, homes, buildings, etc.) is wasted due to inefficiencies in current technologies, transmission, and heat loss. This increases energy costs for all consumers and leads to increased carbon pollution. Energy efficiency is one of the easiest and most cost-effective ways to combat climate change, achieve a more sustainable and secure energy supply, reduce pollution (carbon/greenhouse gas emissions), and cut our energy bills. Efforts to develop and deploy energy-efficient solutions for buildings have significantly increased in the past couple of years. Nevertheless, almost 40% of the current building stock in Europe is not built according to any energy efficiency plan. To reach 2050 climate goals, an intelligent and “deep” renovation of residential buildings is required, enabling considerable energy and CO2 emission reductions. Avineon and Tensing participate in a research consortium (DITUR or Digital Twins for Upscaled Retrofits) that explores the potential of advanced data analytics to support the renovation challenge of the existing residential building stock by focusing on the digital twin concept. Avineon acts as a partner for 3D modelling, and Tensing takes on the role of developing the digital twin infrastructure and data integration processes. Of course, we used a lot of FME for this.