As companies move forward with ambitious decarbonization strategies, AI technologies and digital twins can help improve efficiency and expedite the adoption of newer, climate-friendly technologies. Around 50% of global energy demand is for heating, making it one of the biggest opportunities for decarbonization. However, transforming district heating networks introduces complexity that traditional tools struggle to manage. Digital Twin technologycan be leveraged to create a real-time, AI-powered model of heating systems, integrating weather, sensor, and physics-based data. This approach reduces heat losses by up to 15%, CO₂ emissions by 10%, and CAPEX by 20%, while enhancing the reliability of energy supply. Other decarbonization avenues being supported by AI include plastics recycling, for example via AI-facilitated sorting processes, and “green” hydrogen production via new approaches to optimization.In this session you will learn:
- How Digital Twins optimize district heating by providing real-time insights and predictive analytics.
- The impact of AI-driven efficiency improvements, including cost savings and sustainability benefits.
- How to transform heating networks and further decarbonization avenues such as recycling and “green” hydrogen production
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