Energy systems need to understand user-behaviour. Our research focus is on developing measurement and data processing techniques to better understand how end-users interact with energy, leading to new technologies that enable more efficient energy use whilst ensuring adequate performance. We focus in particular on technologies and management systems for distribution grids.
In the near future, all electrical power will be consumed by power electronics, and power generation, storage, transmission and distribution are becoming increasingly dependent on power electronics. We seek to exploit emerging technology to open up new application areas. In particular, we have research spanning from distributed power electronics circuits and control to large systems for T&D networks (including HVDC) and fundamental analysis of power density.
An electrochemical system such as a rechargeable battery or a fuel cell relies on a chain of kinetic and transport processes, which occur and interact across many scales of size and distance. Our research program centers on electrochemical engineering, with an emphasis on the technological problems associated with energy storage and production. We aim to connect the microscopic perspective of the physical chemist with the macroscopic view of the device engineer.
Electrochemical energy storage systems remain relatively costly and require careful management for best performance. Our focus is on system design, monitoring and control of batteries, supercapacitors and fuel cells, in applications from electric cars to grid power systems. We improve performance and cost by predicting dynamics and lifetime, estimating temperatures and faults, and measuring how and why devices perform and degrade in the real world.
We have strong background in machine design, particulary for traction applications. Our focus is on high power density applications, exploring thermal management, understanding degradation and developing new machine topologies.
We have developed a detailed vehicle simulation tool called OVEM. We use this and experimental data to investigate future drivetrain topologies, impact of different fuels, efficient driving styles and relationship between technology performance, consumer choices and policy.