What we do
Our research focuses on to the conventional power network and the opportunities and challenges with related to the conversion towards a Smart Grid with future low carbon energy scenarios.
We use thermal, magnetic and power flow simulation to improve equipment modelling and support design improvements and system modification.
We investigate the interaction between equipment and power network in future low carbon energy scenarios and the effect of renewable sources and variable energy demand on power network.
We investigate the possibilities of deploying low cost sensors to for more data from the network and use machine learning for a faster and reliable decision making on assets in power network.
We research into safer and environmentally friendly new insulation materials for a resilient and low maintenance power network.
We investigate the applications of advanced Ai and digital twin technologies in smart energy networks.
