Imperial College London

Dr Gbemi Oluleye

Faculty of EngineeringDepartment of Chemical Engineering

Research Associate



o.oluleye CV




C509Roderic Hill BuildingSouth Kensington Campus





My research vision is to pioneer cost optimal innovative ways to decarbonise residential and industrial energy systems, through the deployment of low to negative carbon technologies for electricity and heat provision. My previous track record is centred on two major themes. The first is modelling of low to negative carbon technologies, and the second theme is the development of quantitative decision-support frameworks for energy systems design.

Under the first theme, I develop novel analytical models of primary technologies (combusting fuel/ harnessing renewable energy), and waste heat recovery technologies (i.e. technologies producing useful energy from heat rejected by primary technologies). The models are capable of estimating the useful energy produced, and highlighting the parameters and variables required for techno-economic assessment of technologies. The models have been published in High Impact journals like Applied Energy, and applied to real case studies through collaborations with manufacturers.  

Under the second theme, I develop novel graphical and mathematical optimisation frameworks capable of sizing, selecting, and operating technologies in domestic, and industrial energy systems. The graphical techniques integrate renewable energy, and waste heat recovery technologies using the temperature-enthalpy diagrams of industrial process streams. They were applied by industries under the Efficient Energy Integrated Solutions for Manufacturing Industries (EFENIS) project sponsored by the European Commission, and published. Another innovation is the graphical techniques applying them to recover additional energy from industrial processes, which have reached the maximum potential for heat recovery set by Pinch Analysis and Total Site Analysis. Some of the Mathematical optimisation frameworks developed by me are based on a multi-period mixed integer model. The novelty is the use of finer time resolutions to represent technology characteristics and energy demand data. I developed the optimisation framework used to quantify the impact of macro-distributed energy in the UK, under the Energy Technologies Institute MACRO-DE project. This framework was implemented in a software tool, currently used to support post graduate research and teaching at the University of Manchester. 

areas of expertise

  • Modelling of Low Carbon Technologies (for heat and electricity provision in domestic, commercial and industrial energy systems)
  • Thermodynamic assessment of energy systems (based on energy and exergy)
  • Systems integration of low-to-zero carbon technologies based on mathematical optimisation techniques
  • Techno-economic assessment of energy systems
  • Environmental assessment of energy systems
  • providing rigorous evidence to support policy creation
  • Global market potential analysis of low-to-zero carbon technologies


2016 - date Research Associate, Centre for Process System Engineering, Imperial College London
2015 - 2016  Research Associate, Centre for Process Integration, The University of Manchester, UK
2012 - 2015 PhD student/ Research Assistant, Centre for Process Integration, The University of Manchester, UK
2012 - 2016 Teaching Assistant/ Foundation Year Supervisor, School of Chemical Engineering and Analytical Science, The University of Manchester, UK
2014 - 2016 Widening Participation Fellow/ Manchester Access Program Academic Tutor, The University of Manchester, UK
2011 - 2012 Research Assistant, Centre for Process Integration, The University of Manchester, UK
2010 - 2011 Process Engineer, Process Integration Limited, Manchester, UK
2008 -2009 Graduate Process Engineer, National Engineering and Technical Company, Nigeria
2007 - 2008 Knowledge Transfer Graduate, National Oil Spill Detection and Response Agency, Nigeria



Oluleye G, Allison J, Hawker G, et al., 2018, A two-step optimization model for quantifying the flexibility potential of power-to-heat systems in dwellings, Applied Energy, Vol:228, ISSN:0306-2619, Pages:215-228

Allison J, Bell K, Clarke J, et al., 2018, Assessing domestic heat storage requirements for energy flexibility over varying timescales, Applied Thermal Engineering, Vol:136, ISSN:1359-4311, Pages:602-616


Oluleye G, Allison J, Kelly N, et al., 2018, An Optimisation Study on Integrating and Incentivising Thermal Energy Storage (TES) in a Dwelling Energy System, MDPI, ISSN:1996-1073

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