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.

Upcoming Events

Renewable Energy Workshop and Mobile Solar Power Energy Storage System Demonstration (REWED) – 4th May 2023

Online or in person free of charge event at the University of Wolverhampton - Telford Innovation Campus, 111 Shifnal Rd, Telford TF2 9NN

REWED is an informal network, training and knowledge sharing in renewable energy and energy storage as part of over £1 million funding awarded by Innovate UK under the Energy Catalyst Round 8 (Clean Energy Access) Competition. The collaborative R&D project aims to develop and demonstrate next generation sodium-ion battery (SIB) energy storage integrated with solar energy generation, to provide affordable and secure access to energy in Sub-Saharan Africa.

REWED is also an opportunity to demonstrate our 4kW mobile solar power system with 20 kWh energy storage.

Speakers will include: Professor Chris Sansom, University of Derby, UK; Professor Yongliang Li, University of Birmingham, UK; Dr Manuel Baumann, Karlsruhe Institute of Technology, Germany; Mr John Fox, Director of Business Development, AMTE Power, UK; Mr Sam Goodall, Cambridge Cleantech, UK; Innovate, UK.

Individuals involved in the wide field of renewable energy and energy storage are welcome.

Abstracts for poster presentation: Abstract submission is open for students’ poster presentations - 5 poster prizes are available. The submission deadline is 10th March 2023.

For more information, please contact Dr Fideline Tchuenbou-Magaia (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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