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. At Gradyent, we leverage Digital Twin technology 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. Join us to explore how digital solutions can drive the future of low-carbon heating. 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.
- Real-world case studies from major cities and utilities transforming their heating networks with Gradyent.
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