Researchers at Queen's University Belfast have developed a 3D-printed flow battery prototype to accelerate renewable-energy storage research [1, 2].
This development is significant because it could reduce the time and cost associated with testing new materials for energy storage. By utilizing 3D printing, scientists can iterate designs more quickly to improve how wind and solar power are stored for later use.
The prototype was created at the university's facilities in Northern Ireland [1, 2]. Flow batteries differ from traditional batteries by storing energy in liquid electrolytes contained in external tanks. This design allows for the independent scaling of power and energy capacity, a feature critical for grid-scale storage.
The research team focused on creating a system that speeds up the discovery of more efficient chemical compositions [1, 2]. While other researchers globally are exploring different chemistries, such as alkaline all-iron systems, the Belfast team is prioritizing the manufacturing process through additive manufacturing [1, 2].
By printing the battery components, the team can create complex internal geometries that are difficult to achieve with traditional machining. These shapes can increase the surface area of the electrodes, potentially improving the efficiency of the chemical reactions that store and release electricity [1, 2].
The project aims to bridge the gap between laboratory-scale material science and industrial-scale energy deployment. This approach allows the researchers to test various configurations of flow batteries without needing to build entirely new hardware for every single experiment [1, 2].
“Developed a 3D-printed flow battery prototype that could accelerate renewable-energy storage research”
The transition to renewable energy depends heavily on the ability to store intermittent power from wind and solar. While chemical breakthroughs are essential, the speed of hardware iteration often bottlenecks progress. By integrating 3D printing into battery prototyping, researchers can test new materials and architectures in a fraction of the time, potentially shortening the timeline for deploying efficient, large-scale grid storage solutions.
