The DynAmmonia project develops a technology that reduces the cost of green fuels by up to 20%. The cost reduction is achieved by prolonging the lifetime of high temperature electrolysis using a new
This project focuses on synchronous re-luctance motors, and the frequency converters based on the WBG technology which both will increase the efficiency of the motor systems. The technologies are
The IEA TCP on EOR will remain an important forum for knowledge sharing between world-leading EOR experts. IEA have allocated six specific areas of focus for the IEA EOR cooperation. Denmark hosted
Wave energy converters (WEC’s) capture energy from ocean waves to produce electricity. Wave energy converters are intended to be modular and deployed in multi-unit arrays. Today there is worldwide
Power Electronics process 80% of electricity generated and utilized today,
being a part of the critical infrastructure towards green transition. Since the
1990s, academic research in power electronics
The Batbal project will develop a new generation of battery control and monitoring ASICs by using an innovative combination of 1) Switched Capacitor electrical circuits, 2) high voltage integrated
The new idea in CO2Fix is that biogenic molecules can act as catalysts to control mineral-water-gas reactivity. This paves a way for fast, permanent conversion of CO2 to solid with no safety risks
Med partnerskabet INNO-CCUS skal Danmark rustes til at opnå de ambitiøse målsætninger om 70 procents reduktion af CO2 i 2030 og fuldstændig klimaneutralitet i 2050. Den nye store forskningsindsats
Partnerskabet MissionGreenFuels skal arbejde for at udfase de fossile brændsler i skibsfart, tung vejtransport, luftfarten og den maritime shippingindustri frem mod 2030. Det skal hjælpe Danmark i mål
The purpose of this project is to contribute actively, as alternate, to Denmark's participation in PECTA's steering committee. This involves participation in regular steering committee meetings
The project shall uncover and realize potentials for energy savings on ventilation systems in public buildings using artificial intelligence on data concerning energy usage, indoor environment
Disinfection with ultraviolet (UV) radiation is an effective but energy consuming way to control the corona pandemic. New UV-LED technology enables new applications of UV-light with potential energy
In the project, a self-learning predictive control is developed and demonstrated that can de-liver the best possible indoor climate at minimal energy consumption. This is achieved with a digital twin