My PhD project aims at investigating the electricity system transition to a low-carbon future. We are developing a technology evaluation metric which quantifies the value of a technology within the power system explicitly taking whole-system dynamics into account. The System Value of a technology is a function of the power system conditions and constraints, and varies between first-of-a-kind and nth-of-a-kind power plants.
The heart of the System Value concept is an electricity systems optimisation (ESO) framework based on mixed-integer linear programming taking detailed technical as well as system-level economic, environmental, and security constraints into account. The ESO model can perform short-term and long-term unit commitment and capacity expansion planning for a national-scale power system of up to 2000 units of generation, energy storage, and interconnector technologies.
Prepared for the International Energy Agency (IEA) Greenhouse Gas R&D Programme we are conducting the FLEX-EVAL project which aims at determining the value of flexible CCS power plants and their role in the future UK electricity system.
- Master thesis at the Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh
- Master study of Energy Technology at RWTH Aachen University, abroad at MONASH University, Kuala Lumpur
- Bachelor of Science in Mechanical Engineering at RWTH Aachen University, Bachelor thesis at juwi technologies GmbH
et al., 2017, Power capacity expansion planning considering endogenous technology cost learning, Applied Energy, Vol:204, ISSN:0306-2619, Pages:831-845
et al., 2017, A systems approach to quantifying the value of power generation and energy storage technologies in future electricity networks, Computers & Chemical Engineering, ISSN:0098-1354
et al., Levelised Value of Electricity - A Systemic Approach to Technology Valuation, 26th European Symposium on Computer Aided Process Engineering - ESCAPE 26
et al., 2017, Power Generation Expansion Considering Endogenous Technology Cost Learning, 27th European Symposium on Computer Aided Process Engineering, Elsevier
et al., 2017, An MILP Modeling Approach to Systemic Energy Technology Valuation in the 21<sup>st</sup> Century Energy System, Pages:6358-6365, ISSN:1876-6102