Advanced simulation of biomass gasification in a fluidized bed reactor using ASPEN PLUS. (February 2017)
- Record Type:
- Journal Article
- Title:
- Advanced simulation of biomass gasification in a fluidized bed reactor using ASPEN PLUS. (February 2017)
- Main Title:
- Advanced simulation of biomass gasification in a fluidized bed reactor using ASPEN PLUS
- Authors:
- Kaushal, Priyanka
Tyagi, Rakesh - Abstract:
- Abstract: Biomass gasification technology has improved over the years. However tar remains the bottleneck for gas cleaning, plant design and process modelling etc. Tar is a very complex material and its composition depends on many parameters like operating conditions, temperature, pressure, heating rate, oxygen carrying agent and reactor designs etc. While modelling tar, it is a common practice to either assume that gas is tar free or it is loaded over any heavy cyclic hydrocarbon. This is an over simplified approach. It is also a common assumption in literature that tar is inert and does not take part in reaction. The paper has taken into consideration both the challenges: it has defined tar and its cracking kinetics in the model. A mathematical model of biomass gasification in bubbling fluidized gasifier has been developed in ASPEN PLUS. A sub-model for tar generation and cracking is included in this study. The model is capable of dealing with wide variety of biomasses and fluidizing agents, i.e. air, oxygen, steam and carbon di oxide or a mix of these gases. A comparison with experimental data and other simulation results was done. Results show that defining tar and its kinetics significantly improves model performance and its credibility. Highlights: Unlike popular assumption where tar is often neglected or loaded over other chemical species, this model has defined tar exclusively. This model has also considered and defined tar cracking kinetics. Study reavels that forAbstract: Biomass gasification technology has improved over the years. However tar remains the bottleneck for gas cleaning, plant design and process modelling etc. Tar is a very complex material and its composition depends on many parameters like operating conditions, temperature, pressure, heating rate, oxygen carrying agent and reactor designs etc. While modelling tar, it is a common practice to either assume that gas is tar free or it is loaded over any heavy cyclic hydrocarbon. This is an over simplified approach. It is also a common assumption in literature that tar is inert and does not take part in reaction. The paper has taken into consideration both the challenges: it has defined tar and its cracking kinetics in the model. A mathematical model of biomass gasification in bubbling fluidized gasifier has been developed in ASPEN PLUS. A sub-model for tar generation and cracking is included in this study. The model is capable of dealing with wide variety of biomasses and fluidizing agents, i.e. air, oxygen, steam and carbon di oxide or a mix of these gases. A comparison with experimental data and other simulation results was done. Results show that defining tar and its kinetics significantly improves model performance and its credibility. Highlights: Unlike popular assumption where tar is often neglected or loaded over other chemical species, this model has defined tar exclusively. This model has also considered and defined tar cracking kinetics. Study reavels that for low temperature gasification, it is important to model tar and its cracking kinetics into the system. … (more)
- Is Part Of:
- Renewable energy. Volume 101(2017)
- Journal:
- Renewable energy
- Issue:
- Volume 101(2017)
- Issue Display:
- Volume 101, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 101
- Issue:
- 2017
- Issue Sort Value:
- 2017-0101-2017-0000
- Page Start:
- 629
- Page End:
- 636
- Publication Date:
- 2017-02
- Subjects:
- ASPEN PLUS -- Model -- Biomass gasification -- Fluidized bed -- Tar kinetics
Renewable energy sources -- Periodicals
Power resources -- Periodicals
Énergies renouvelables -- Périodiques
Ressources énergétiques -- Périodiques
333.794 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09601481 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/renewable-energy/ ↗ - DOI:
- 10.1016/j.renene.2016.09.011 ↗
- Languages:
- English
- ISSNs:
- 0960-1481
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7364.187000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7931.xml