The Brown Group is focused on the computational modelling of clean energy and process systems to optimise their design, operation and safety.
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We develop new statistical and mathematical techniques to quantitatively analyse systems, to identify key factors and understand the impact of uncertainty  on performance and behaviour.
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We use data-driven and machine learning techniques to quantify the interactions of process and material parameters, and use this information to optimise processes and their development workflow.

Our work is divided into four categories:

Research Projects

C4U: Advanced Carbon Capture for steel industries integrated in CCUS Clusters
Funded by the European Union H2020 programme, C4U is a holistic interdisciplinary project addressing all the essential elements required for the optimal integration of CO2 capture in the iron and steel industry as part of the CCUS chain.
EOP: Energy Open Piazza
​Funded by BEIS under the Power Forward Challenge.
UKCCS Research Council
The mission of the UKCCSRC is to ensure that carbon capture and storage (CCS) plays an effective role in helping the UK achieve net-zero greenhouse gas emissions by 2050.
RELCo-BAT: Reclaimed Electrolyte, Low Cost Flow Battery
Funded by the Faraday Institution, the Universities of Southampton and Sheffield and the Botswana International University of Science and Technology are developing a low-cost soluble lead flow battery to promote grid stability and a secure, clean supply in off-grid generation with a focus on Botswana and Sierra Leone.
SafeBatt - The Science of Battery Safety
The Faraday Institution’s SafeBatt project is a collaboration, lead by UCL, of six universities (Cambridge, Imperial College London, Newcastle, Sheffield, and Warwick) as well as industrial partners, each bringing unique capabilities to the investigation of the science of safety.

Industrial Collaborators

The Brown Group has proudly worked with a number of leading organisations and companies.