Imperial College London

Clara F. Heuberger

Faculty of Natural SciencesCentre for Environmental Policy

Research Assistant



+44 (0)20 7594 9959c.heuberger14 Website




143414 Prince's GardensSouth Kensington Campus





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.


  • Research visit at the Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh
  • 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



Heuberger CF, Staffell I, Shah N, et al., 2017, A systems approach to quantifying the value of power generation and energy storage technologies in future electricity networks, Computers & Chemical Engineering, Vol:107, ISSN:0098-1354, Pages:247-256

Heuberger CF, Rubin ES, Staffell I, et al., 2017, Power capacity expansion planning considering endogenous technology cost learning, Applied Energy, Vol:204, ISSN:0306-2619, Pages:831-845


Heuberger CF, Staffell I, Shah N, et al., Levelised Value of Electricity - A Systemic Approach to Technology Valuation, 26th European Symposium on Computer Aided Process Engineering - ESCAPE 26

Heuberger CF, Rubin ES, Staffell I, et al., 2017, Power Generation Expansion Considering Endogenous Technology Cost Learning, 27th European Symposium on Computer Aided Process Engineering, Elsevier

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