Purpose and goal
ADAPT addresses the needs of electricity-intensive industries for flexible and energy-efficient operation under increasing price volatility and grid constraints. By combining real-time data, process modeling and AI, the project develops a physics-informed digital twin for predictive energy control. By integrating production requirements with electricity market signals, flexible load management is enabled without compromising stability.
Expected effects and result
ADAPT is expected to deliver a validated digital twin for predictive energy management of smelters. The project increases energy efficiency, lowers costs and reduces the carbon footprint. Through flexible load management, the industry can participate in electricity markets (mFRR/FCR) and support grid stability without risking the process. In addition, waste heat is optimized for district heating, and the solution provides a scalable blueprint for green transition in Swedish basic industry.
Planned approach and implementation
ADAPT is structured in five interconnected work packages (WPs):
WP1: Etablerar IoT-infrastruktur and high-resolution data acquisition from the melting process.
WP2: Develops the physics-informed digital twin for furnace simulation.
WP3: Integrates electricity market signals for predictive load management.
WP4: Deploys and validates the operator panel in a real-world environment.
WP5: Handles project management, dissemination and networking.
The project description has been provided by the project members themselves and the text has not been looked at by our editors.
