Skip to content
Reaction Engineering and Applied Thermochemical Conversion Laboratory
Menu

Biomass and waste gasification

Fluidized-bed gasification experiments and CPFD/CFD simulation: syngas quality, tar, staged oxygen, co-gasification with biochar, integration with industrial processes.

Schematic of the co-gasification experiment: a mix of biomass powder, sawdust and biochar is fed from a hopper into the reactor with the gasifying agents, tar is collected below the reactor, and the gas passes a cold trap into a gas bag. Figure: Josh Felix Rajagukguk, 2026.
Schematic of the co-gasification experiment: a mix of biomass powder, sawdust and biochar is fed from a hopper into the reactor with the gasifying agents, tar is collected below the reactor, and the gas passes a cold trap into a gas bag. Figure: Josh Felix Rajagukguk, 2026.

The lab studies gasification of biomass and waste as a route to clean syngas for fuels, chemicals and industrial processes. Experiments use a bubbling fluidized-bed gasifier with CO₂/O₂ blends and Winkler-type staged oxygen injection, and co-gasification of sawdust with biochar to raise the H₂ and CO content of the syngas and lower the tar yield.

Simulation work covers CPFD modelling of a full-loop circulating fluidized bed in Barracuda Virtual Reactor, fluidized-bed gasification models for aviation-fuel feedstock, and Aspen Plus process models that integrate gasification with a blast furnace and with existing coal-fired power plants.

Current topics

  • CO₂/O₂-blown bubbling fluidized-bed gasification with staged oxygen injection
  • Co-gasification of biomass and biochar for high-quality syngas
  • CPFD simulation of circulating fluidized-bed gasifiers
  • Gasification integrated with blast furnaces and coal-fired power plants

Theses in progress

Publications

All publications
  1. Rousseva A., Gautam R., Zaini I. N., Aljaziri J., Govender N. S., Ledwaba L. P., Overmans S., Lauersen K. J., Sarathy S. M. (2025). Valorization of Cyanidioschyzon merolae via mixed air/steam/CO₂ gasification: Syngas evolution and tar molecular insights. ACS Omega 10 (44), 52783–52793. doi:10.1021/acsomega.5c06835

  2. Wang S., Wang Y., Shi Z., Sun K., Wen Y., Niedzwiecki L., Pan R., Xu Y., Zaini I. N., Jagodzińska K., Aragon-Briceno C., Tang C., Onsree T., Tippayawong N., Pawlak-Kruczek H., Jönsson P. G., Yang W., Jiang J., Kawi S., Wang C.-H. (2023). Van Krevelen diagrams based on machine learning visualize feedstock-product relationships in thermal conversion processes. Communications Chemistry 6, 273. doi:10.1038/s42004-023-01077-z

  3. Zaini I. N., Nurdiawati A., Gustavsson J., Wei W., Thunman H., Gyllenram R., Samuelsson P., Yang W. (2023). Decarbonising the iron and steel industries: Production of carbon-negative direct reduced iron by using biosyngas. Energy Conversion and Management 281, 116806. doi:10.1016/j.enconman.2023.116806

  4. Nurdiawati A., Zaini I. N., Wei W., Gyllenram R., Yang W., Samuelsson P. (2023). Towards fossil-free steel: Life cycle assessment of biosyngas-based direct reduced iron (DRI) production process. Journal of Cleaner Production 393, 136262. doi:10.1016/j.jclepro.2023.136262