The FICFB — Gasification Process

Hofbauer, Hermann; Veronik, G.; Fleck, Trevor J.; Rauch, Reinhard; Mackinger, H.; Fercher, E.

doi:10.1007/978-94-009-1559-6_82

Cited by 81 publications

(67 citation statements)

References 4 publications

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“…The results presented by Hofbauer et al (1997) and Pfeifer et al (2004) were used for tuning and validation of the model. In the work presented by Hofbauer et al (1997) the gasified feedstock were wood chips of the following characteristics (wet basis): volatiles -73.3%, fixed carbon -14.0%, moisture -12.1%, ash -0.6%, LHV -15600 kJ/kg; mass composition (dry basis): C -51.5%, H -6.3%, N -0.22%, O -44.3%, S -0.05%. Pfeifer et al (2004) used wood chips of the characteristics as follows (dry basis): C -49.0%, H -6.52%, N -0.12%, O -44.31%, S -0.05%; LHV -17120 kJ/kg.…”

Section: Resultsmentioning

confidence: 99%

“…These values are 2 -20 g/Nm 3 for gasification with air, 4 -30 g/Nm 3 for gasification with steam-O 2 mixtures and 30 -80 g/Nm 3 for gasification with steam. The yield of tar from FICFB gasifier is between 1.5 and 4.5 g/Nm 3 (Bolhàr-Nordenkampf et al 2002a;Hofbauer et al, 1997). Corella et al (2006) presented that the amount of tar from air gasification of biomass decreases with process temperature and air to fuel ratio.…”

Section: Introductionmentioning

confidence: 99%

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Modelling of fluidized bed biomass gasification in the quasi-equilibrium regime for preliminary performance studies of energy conversion plants

Kalina¹

2011

Chemical and Process Engineering

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Thermodynamic equilibrium-based models of gasification process are relatively simple and widely used to predict producer gas characteristics in performance studies of energy conversion plants. However, if an unconstrained calculation of equilibrium is performed, the estimations of product gas yield and heating value are too optimistic. Therefore, reasonable assumptions have to be made in order to correct the results. This paper proposes a model of the process that can be used in case of deficiency of information and unavailability of experimental data. The model is based on free energy minimization, material and energy balances of a single zone reactor. The constraint quasiequilibrium calculations are made using approximated amounts of non-equilibrium products, i.e. solid char, tar, CH 4 and C 2 H 4 . The yields of these products are attributed to fuel characteristics and estimated using experimental results published in the literature. A genetic algorithm optimization technique is applied to find unknown parameters of the model that lead to the best match between modelled and experimental characteristics of the product gas. Finally, generic correlations are proposed and quality of modelling results is assessed in the aspect of its usefulness for performance studies of power generation plants.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling of fluidized bed biomass gasification in the quasi-equilibrium regime for preliminary performance studies of energy conversion plants

Kalina¹

2011

Chemical and Process Engineering

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“…The natural gas required to produce individual output from quad-generation using CFB gasifier has been found to be 0.12 m 3 /m 3 syngas for both of the feedstock [28,29]. Neither natural gas nor electricity purchases are required for GTI-gasifier-based quad-generation [30].…”

Section: Inventory Data For Plant Operation and Maintenancementioning

confidence: 99%

“…Several alternative gasification technologies exist (energy efficiencies, suitability for SNG, and other process details are discussed in [29,30]). The CFB gasification process consists of separate gasification and combustion chambers.…”

Section: Circulating Fluidized Bed (Cfb) Gasifiermentioning

confidence: 99%

Development of net energy ratio and emission factor for quad-generation pathways

2014

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The conversion of biomass to four different outputs via gasification is a renewable technology that could reduce the use of fossil fuels and greenhouse gas (GHG) emissions. This study investigates the energy aspects for a new concept of biomass based quad-generation plant producing power, heat, methanol and methane. Circulating fluidized bed gasifier and the gas technology institute (GTI) gasifier technologies are used for this quad-generation process. Two different biomass feedstocks are considered in this study. The net energy ratio for six different pathways having the range of between 1.3 and 7.2. The lowest limit corresponds to the wood chips-based power, heat, methanol and methane production pathway using GTI technology. Since more efficient alternatives exist for the generation of heat and electricity from biomass, it is argued that syngas is best used for methanol production. The aim of this study was to evaluate the energy performance, reduce GHG and acid rain precursor emission, and use of biomass for different outputs based on demand. Finally, a sensitivity analysis and a comparative study ar conducted for expected technological improvements and factors that could increase the energy performance.

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“…So far, the most attractive design is supposed to have biomass gasification in the BFB and char combus-tion in the CFB from the viewpoints of particle circulation, fuel conversion, tar cracking, etc. Table 1 presents some well-known DFBGs [1,[8][9][10][11][12][13][14][15][16][17][18][19][20][21] and their measurement data. Similar summaries can be found [8,9].…”

Section: Dfbgs and The Miun Gasifiermentioning

confidence: 99%

Simulation of biomass gasification in a dual fluidized bed gasifier

Göransson

Söderlind

et al. 2012

Biomass Conv. Bioref.

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Biomass gasification with steam in a DFBG (dual fluidized bed gasifier) was simulated with ASPEN Plus. From the model, the yield and composition of the syngas, and the contents of tar and char can be calculated. The model has been evaluated against the experimental results measured on a 150 KWth MIUN (Mid Sweden University) DFBG. The model predicts that the content of char transferred from the gasifier to the combustor decreases from 22.5 wt. % of the dry and ash-free biomass at gasification temperature 750• C to 11.5 wt. % at 950• C, but is insensitive to S/B (Steam to Biomass Mass Ratio). The H 2 concentration is higher than that of CO under the normal DFBG operation conditions, but they will change positions when the gasification temperature is too high above about 950• C, or the S/B ratio is too low under about 0.15. The biomass moisture content is a key parameter for a DFBG to be operated and maintained at a high gasification temperature. The model suggests that the gasification temperature is difficult to be kept above 850• C when the biomass moisture content is higher than 15.0 wt. %. Thus, a certain amount of biomass needs to be added in the combustor to provide sufficient heat for biomass devolatilization and steam reforming. Tar content in the syngas can also be predicted from the model, which shows a decreasing trend of the tar with the gasification temperature and the S/B ratio. The tar content in the syngas decreases significantly with gasification residence time which is a key parameter.

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The FICFB — Gasification Process

Cited by 81 publications

References 4 publications

Modelling of fluidized bed biomass gasification in the quasi-equilibrium regime for preliminary performance studies of energy conversion plants

Modelling of fluidized bed biomass gasification in the quasi-equilibrium regime for preliminary performance studies of energy conversion plants

Development of net energy ratio and emission factor for quad-generation pathways

Simulation of biomass gasification in a dual fluidized bed gasifier

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