Energy and Green Technology Research Group (EGreenTech)

At The University of Wolverhampton

Group lead: Dr Fideline Tchuenbou-Magaia

Keywords: Sustainable food systems; Sustainable climate-resilient agriculture; Sustainable diet; clean production, Formulation engineering; Energy harvesting; Energy conversion; Renewable energy. Fuel Cells, Hydrogen

Research Focus

The core research carried out by group focusses on thematic areas that encompass energy, food and ecosystem health with the aim to develop clean technologies and products to address and mitigate non-communicable diseases, energy and environmental challenges, to pave the way for a sustainable economy and carbon-neutral future.

The research undertaken by the Energy and Green Technology group is deeply rooted in partnership with the industry, whilst drawing on the most rigorous scientific approaches covering the four levels of research:

  1. Molecules/ Materials
  2. Components/Units
  3. System and
  4. Integration/Application

The multidisciplinary team of academics and researchers with diverse skills and expertise drive cross-disciplinary and multi-disciplinary research around two main broad areas:

  1. Sustainable food systems 
  2. Energy harvesting/conversion, and storage with some elements related to sustainable cities

Key thematic research areas are:

  • Energy storage and batteries
  • Energy harvesting/conversion and biofuel production
  • Solid Oxide Fuel Cell
  • Hydrogen
  • Waste to energy
  • CO2 capture/storage and utilisation
  • Sustainable agriculture
  • Sustainable diet
  • Waste reduction/reutilisation in the food supply chain system
  • Integration of clean energy in the agri-food value chains

For information regarding the Energy and green technology group, research collaborations and PhD opportunities email EGreenTech@wlv.ac.uk, alternatively, you can contact the research group lead Dr. Fideline Tchuenbou-Magaia at f.tchuenbou-magaia@wlv.ac.uk.

More Information

  • Constance Chizoma Ojo: Sustainable active food packaging
  • Folarin Emmanuel Ojetoro: The development of new and innovative products and services for battery storage in domestic applications and communal mini-smart grids
  • Praveen Chandramenon: IoT and machine learning approach for the determination of optimal rate of water replenishment of aquaponics systems (Professor Amar Aggoun, DoS)
  • Obinna Arizechukwu Nwadiuto: Batteries degradation, ageing and performance monitoring using different sensors
  • Uchechukwu Chiduziem Anyadike: Creams and gels rheological characterization for performance and stability prediction.
  • Sara Salem:  Experimental, machine learning and first principle modelling study of CO2 absorption using novel ionic liquids and new developed amines

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