CFD modelling of spatiotemporal evolution of detailed tar species in a downdraft gasifier. (January 2023)
- Record Type:
- Journal Article
- Title:
- CFD modelling of spatiotemporal evolution of detailed tar species in a downdraft gasifier. (January 2023)
- Main Title:
- CFD modelling of spatiotemporal evolution of detailed tar species in a downdraft gasifier
- Authors:
- Salem, Ahmed M.
Paul, Manosh C. - Abstract:
- Abstract: The rising demand for renewable energy around the world has sparked interest in biomass gasification. However, the technology greatly suffers because of tar species produced during the gasification process, which limits direct use of the produced gas. To address this issue, the paper presents a novel piece of work that focuses on the formation and evolution of tar species consisting of benzene, naphthalene, toluene, and phenol. A two-dimensional numerical model for a downdraft biomass gasifier is developed with a total of 20 thermochemical kinetic reactions to investigate the formation of tar species in the gasifier with the effect of residence time. The model's predictions are validated with the experimental and kinetic data and found to be in good agreement. Besides, the model's ability to simulate the producer gas production from a downdraft gasifier is examined. Reaction rates for volatiles decomposition, combustion, and gasification reactions under different working conditions are investigated. Overall, benzene has the highest concentration of the selected tar species, followed by naphthalene, and with relatively modest amounts of phenol and toluene. Highlights: A 2D CFD model was built for a 20 kW biomass downdraft gasifier. Benzene, naphthalene, toluene, and phenol were used as tar representatives. Detailed reaction kinetics of tar species were studied. Tar distribution was presented along the gasifier at the steady & unsteady states. Different reactionAbstract: The rising demand for renewable energy around the world has sparked interest in biomass gasification. However, the technology greatly suffers because of tar species produced during the gasification process, which limits direct use of the produced gas. To address this issue, the paper presents a novel piece of work that focuses on the formation and evolution of tar species consisting of benzene, naphthalene, toluene, and phenol. A two-dimensional numerical model for a downdraft biomass gasifier is developed with a total of 20 thermochemical kinetic reactions to investigate the formation of tar species in the gasifier with the effect of residence time. The model's predictions are validated with the experimental and kinetic data and found to be in good agreement. Besides, the model's ability to simulate the producer gas production from a downdraft gasifier is examined. Reaction rates for volatiles decomposition, combustion, and gasification reactions under different working conditions are investigated. Overall, benzene has the highest concentration of the selected tar species, followed by naphthalene, and with relatively modest amounts of phenol and toluene. Highlights: A 2D CFD model was built for a 20 kW biomass downdraft gasifier. Benzene, naphthalene, toluene, and phenol were used as tar representatives. Detailed reaction kinetics of tar species were studied. Tar distribution was presented along the gasifier at the steady & unsteady states. Different reaction rates are presented within volatiles break-up, combustion, and reduction zones. … (more)
- Is Part Of:
- Biomass and bioenergy. Volume 168(2023)
- Journal:
- Biomass and bioenergy
- Issue:
- Volume 168(2023)
- Issue Display:
- Volume 168, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 168
- Issue:
- 2023
- Issue Sort Value:
- 2023-0168-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-01
- Subjects:
- Bioenergy -- Gasification -- Tar kinetics -- Downdraft gasifier -- CFD
Biomass energy -- Periodicals
Biomass -- Periodicals
Energy-Generating Resources -- Periodicals
Bioénergie -- Périodiques
333.9539 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09619534 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.biombioe.2022.106656 ↗
- Languages:
- English
- ISSNs:
- 0961-9534
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2087.706500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24778.xml