AI-Power
Grand solution project supported by Innovation Fund Denmark, 2022-2027
Physics-informed AI solutions for
next generation power electronics
Bridging know-how in artificial intelligence, Power Electronics, and IoT to develop and demonstrate Physics-informed Artificial Intelligence Tools for power electronic applications
AI-Power
Creates
Tailored AI tools for design, control, and maintenance
Reduction in design time, energy loss, cost
World’s first power electronics data platform
Why Power Electronics plus artificial intelligence?
Power Electronics process 80% of electricity generated and utilized today, being a part of the critical infrastructure of green transition. Since the 1990s, academic research in power electronics has started focusing on AI-based methods. There is still a lack of practical implementation. AI-Power will bridge the gap to industry applications by developing tailored physics-informed AI tools for energy efficiency boost and life-cycle-cost reduction of power electronic systems. It will consolidate the competitive edge of the energy sector and bring new opportunities in CO2 reduction.
Key drivers
1. Energy efficiency
2. Life cycle cost
3. Time-to-Market
Key Trends
1. Product+service
2. Data+physics
3. Digitalization
Leveraging physics & AI tools for smart, small, reliable solutions
The evolving electrical energy systems require new principles and operational practices. It, in turn, means we must develop and implement new and updated system tools. AI-Power project strives to address three significant challenges. It will develop tailored physics-informed AI tools for the design, operation, and maintenance of power electronic systems.
- How to obtain and understand the most relevant database?
- How to develop computational-efficient and affordable AI solutions?
- How to quantify uncertainty and interpret the results from AI?
Boosting power electronics products and startups for energy eco-system
AI-Power will bridge the gap to industry applications by developing tailored physics-informed AI tools for energy efficiency boost and life-cycle-cost reduction of power electronic systems. It will consolidate the competitive edge of the Danish energy sector and bring new opportunities in CO2 reduction. It involves four industry partners: Xtel (IoT), Neurospace (machine learning), Danfoss (power electronics), and Nordic Ultra Capacitor Engineering Research Center (e-mobility) and two universities. It estimates that the outcomes will create 200 million DKK business opportunities and 100 jobs within 3-5 years after the project, increasing to two billion DKK with 1,000 jobs in the long term.
Supported by
