Abstract
The development of climate and energy models, analysing possible pathways into the future, is increasing by number and diversity. Integrating the non-linear effect of technology cost reduction depending on the deployment level is essential to investigate the profitability and competitiveness of new technologies. It enables us to propose optimal investment strategies and observe the system effects of technological improvement. This seminar will provide a brief introduction to power systems modelling and present our Electricity Systems Optimisation (ESO) model. We apply the ESO model to the UK’s power system and discuss the effect of technology cost learning on the future capacity mix, total system cost, and carbon emissions.
Speaker Bio
Clara is a PhD student at the Centre for Process Systems Engineering and the Centre for Environmental Policy. Her research is supported by the International Energy Agency Greenhouse Gas R&D Programme (IEAGHG). She holds a Bachelor and Master degree in Mechanical Engineering from RWTH Aachen University, and studied abroad at MONASH University (Kuala Lumpur, Malaysia) and Carnegie Mellon University (Pittsburgh, USA).