Bio-GaTe - Advanced Biomass Gasification Technologies
Lead Participant:
COMPUTATIONAL MODELLING CAMBRIDGE LIMITED
Abstract
An alternative and sustainable way of producing energy with low emissions and meeting the total energy
demand globally is crucial for providing the security of future energy supplies long after the conventional fossil
fuels run out. Biomass gasification can potentially ensure this due to its sustainability and inherent carbon
neutrality, but the key constraint to the wider spread of biomass gasification technology is primarily not having
processes efficient enough to deal with feedstock varieties, leading to poor gasifier performance. The aim of
this project is to implement physics-based virtual engineering strategies to enable cost-effective technical
development of advanced biomass gasification technologies (Bio-GaTe) capable of converting biomass
feedstocks and wastes efficiently to alternative energy and high purity synthesis gas. The UK has legal
obligation to produce 15% of total energy from renewable sources by 2020. The project also closely ties with
the government current policies to deliver a low carbon future economy by decarbonising energy generation
through renewables and sustainable routes, while safeguarding energy security.
demand globally is crucial for providing the security of future energy supplies long after the conventional fossil
fuels run out. Biomass gasification can potentially ensure this due to its sustainability and inherent carbon
neutrality, but the key constraint to the wider spread of biomass gasification technology is primarily not having
processes efficient enough to deal with feedstock varieties, leading to poor gasifier performance. The aim of
this project is to implement physics-based virtual engineering strategies to enable cost-effective technical
development of advanced biomass gasification technologies (Bio-GaTe) capable of converting biomass
feedstocks and wastes efficiently to alternative energy and high purity synthesis gas. The UK has legal
obligation to produce 15% of total energy from renewable sources by 2020. The project also closely ties with
the government current policies to deliver a low carbon future economy by decarbonising energy generation
through renewables and sustainable routes, while safeguarding energy security.
Lead Participant | Project Cost | Grant Offer |
---|---|---|
COMPUTATIONAL MODELLING CAMBRIDGE LIMITED | £99,948 | £ 69,964 |
  | ||
Participant |
||
UNIVERSITY OF GLASGOW | £99,917 | £ 99,917 |
UNIVERSITY OF GLASGOW | ||
INNOVATE UK |
People |
ORCID iD |
Nico Bianco (Project Manager) |