Imperial College London


Faculty of EngineeringDepartment of Chemical Engineering

Research Associate







c511ACE ExtensionSouth Kensington Campus





Dr Andrea Bernardi received his PhD in Chemical Engineering from the University of Padova in 2015 and in 2017 he joined Imperial College. He is a Research Associate at the Centre of Process System Engineering in the Chemical Engineering Department where he works on catalytic conversion of CO2 modelling.

Prior to joining Imperial College, he worked at the Chemical Engineering Department of University of Padova in the area of biofuels production from microalgae with a focus on the modelling of light-growth interaction for process optimisation purposes.  

His  research focuses on two main topics. The first one is the development of detailed kinetic models to describe the catalytic conversion of CO2 and hydrogen into fuels such as methanol and DME. The second research interest is the application of life cycle assessment (LCA) and data envelopment analysis (DEA) techniques to compare and optimise alternative routes for CO2 conversion (e.g.: methanol synthesis, Fisher Topsch synthesis, solar and electrocatalysis).



Perin G, Bellan A, Bernardi A, et al., 2019, The potential of quantitative models to improve microalgae photosynthetic efficiency, Physiologia Plantarum, Vol:166, ISSN:1399-3054, Pages:380-391

De-Luca R, Bernardi A, Meneghesso A, et al., 2018, Modelling the photosynthetic electron transport chain in Nannochloropsis gaditana via exploitation of absorbance data, Algal Research, Vol:33, ISSN:2211-9264, Pages:430-439

Perin G, Bernardi A, Bellan A, et al., 2017, A Mathematical model to guide Genetic Engineering of Photosynthetic Metabolism, Metabolic Engineering, ISSN:1096-7176


Bernardi A, Gomoescu L, Wang J, et al., 2019, Kinetic Model Discrimination for Methanol and DME Synthesis using Bayesian Estimation, 12th International-Federation-of-Automatic-Control (IFAC) Symposium on Dynamics and Control of Process Systems including Biosystems (DYCOPS), ELSEVIER SCIENCE BV, Pages:335-340, ISSN:2405-8963

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