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Biomass steam gasif...
Biomass steam gasification in bubbling fluidized bed for higher-H 2 syngas : CFD simulation with coarse grain model
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- Qi, Tian (författare)
- Tianjin University
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- Lei, Tingzhou (författare)
- Tianjin University
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- Yan, Beibei (författare)
- Tianjin University
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- Chen, Guanyi (författare)
- Tianjin University
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- Li, Zhongshan (författare)
- Lund University,Lunds universitet,Förbränningsfysik,Fysiska institutionen,Institutioner vid LTH,Lunds Tekniska Högskola,Combustion Physics,Department of Physics,Departments at LTH,Faculty of Engineering, LTH,Tianjin University
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- Fatehi, Hesameddin (författare)
- Lund University,Lunds universitet,Strömningsteknik,Institutionen för energivetenskaper,Institutioner vid LTH,Lunds Tekniska Högskola,Fluid Mechanics,Department of Energy Sciences,Departments at LTH,Faculty of Engineering, LTH
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- Wang, Zhiwei (författare)
- Henan Academy of Agricultural Sciences
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- Bai, Xue Song (författare)
- Lund University,Lunds universitet,Strömningsteknik,Institutionen för energivetenskaper,Institutioner vid LTH,Lunds Tekniska Högskola,Fluid Mechanics,Department of Energy Sciences,Departments at LTH,Faculty of Engineering, LTH
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(creator_code:org_t)
- Elsevier BV, 2019
- 2019
- Engelska 13 s.
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Ingår i: International Journal of Hydrogen Energy. - : Elsevier BV. - 0360-3199. ; 44:13, s. 6448-6460
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- A comprehensive coarse grain model (CGM) is applied to simulation of biomass steam gasification in bubbling fluidized bed reactor. The CGM was evaluated by comparing the hydrodynamic behavior and heat transfer prediction with the results predicted using the discrete element method (DEM) and experimental data in a lab-scale fluidized bed furnace. CGM shows good performance and the computational time is significantly shorter than the DEM approach. The CGM is used to study the effects of different operating temperature and steam/biomass (S/B) ratio on the gasification process and product gas composition. The results show that higher temperature enhances the production of CO, and higher S/B ratio improves the production of H 2 , while it suppresses the production of CO. For the main product H 2 , the minimum relative error of CGM in comparison with experiment is 1%, the maximum relative error is less than 4%. For the total gas yield and H 2 gas yield, the maximum relative errors are less than 7%. The predicted concentration of different product gases is in good agreement with experimental data. CGM is shown to provide reliable prediction of the gasification process in fluidized bed furnace with considerably reduced computational time.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Kemiteknik -- Kemiska processer (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Chemical Engineering -- Chemical Process Engineering (hsv//eng)
Nyckelord
- Biomass steam gasification
- CGM
- Fluidized bed
- Numerical simulation
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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