Professsor Meihong Wang

Co-winner, The Nigeria Prize for Science 2024

Professor Wang leads Process and Energy Systems Engineering Research Group at University of Sheffield (since 2016), UK with expertise in modelling, optimization and control for power plants, carbon capture utilisation and storage (CCUS), energy storage and bio-energy. 

He graduated from Nanjing Chemical Engineering Power College (now part of Nanjing Normal University) in 1988. He studied MSc Chemical Process Control at East China University of Science and Technology (ECUST) in Shanghai from 1992 to 1995. He became Lecturer at Beijing University of Chemical Technology from 1995 to 1998.  He joined Centre for Process Systems Engineering at Imperial College London and University College London (UCL) in 1999. He worked at Alstom Power Technology Centre, Cranfield University and University of Hull from 2004 to 2016.

He has been investigators in over 20 research projects worth over £20 million from UK Research Councils, European Commission and Industry. He has published over 200 scientific papers. He is one of top 2% most-cited scientists in the world.

One of Prof Wang’s publications (Lazic et al. 2014) on CO2 transport pipeline network design for the Humber Region (largest CO2 emitter in the UK) was awarded the Ludwig Mond Prize 2014 by IMechE. The content of this paper was also widely used by a UK Department for Business, Energy and Industrial Strategy (BEIS) report in 2020 titled “Carbon capture, usage and storage (CCUS) deployment at dispersed sites”.

The paper on large-scale energy storage (Aneke and Wang, 2016) was given Award for the Most Cited Review Paper in Applied Energy by Elsevier. A research project on applying process intensified techniques for carbon capture led by Prof Wang was runner-up in IChemE Global Award 2019 (Energy Category).

He was joint winner of Nigeria Prize for Science 2019 (the most important prize in the African Continent) for his long term research contribution to CCUS to combat climate change.

Professor Wang was Siemens PSE Model-based Innovation (MBI) Prize Winner 2022 for “an excellent work illustrating the use of gPROMS in the modelling, simulation and analysis of a complex process for efficient carbon capture”. In 2024, he received Nigeria Prize for Science for the second time.

In 2024, he was elected Fellow of European Academy of Sciences (FEurASc) and Fellow of European Academy of Sciences and Arts (FEASA).