Modelling of an updraft fixed-bed gasifier operated with softwood pellets

Mandl, Christoph; Obernberger, Ingwald; Biedermann, Friedrich

doi:10.1016/j.fuel.2010.07.014

Cited by 92 publications

(77 citation statements)

References 23 publications

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“…For a fixed/packed bed reactor the final products yield of this reaction can be considered constant as reported in Table 1. Tar Page 6 of 30 is modelled as C 6 H 8 O , as in Mandl et al [27]. Furthermore, in our case, due to the extremely high temperature gradient at the bed entrance and concentrated energy flux, the pyrolysis is considered to be instantaneous (Flash-pyrolysis) [28][29][30].…”

Section: $mentioning

confidence: 99%

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Assessing biomass steam gasification technologies using a multi-purpose model

Sepe

Li²,

Paul

2016

Energy Conversion and Management

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Two advanced steam-gasification technologies of biomass, high temperature steam gasification (HTSG) and solar-assisted steam gasification, have been thermodynamically investigated in this work and compared with both conventional auto-thermal gasification and High Temperature Air and Steam Gasification (HTAG). A multi-phase, multi-physics 1D steady-state model has been built up to predict the biomass gasification performance, efficiency, yield and species of produced syngas at varying gasification methods and input parameters. In particular, heterogeneous and homogenous gasification reactions coupled with a radiative transfer were employed in the solar-assisted steam gasification. The results showed that the solar-assisted steam gasification technology demonstrates its potential to produce high quality syngas (nearly 42% H 2 and 35% CO). Moreover, it upgrades the heating value of the product syngas up to 1.4 times more than the original value, due to the additional solar energy induction. Compared with conventional auto-thermal gasification, it was found that the process efficiency can be improved from 65% to 81% if using the HTAG technology and the content of hydrogen in the syngas increased from 30% to 55% if applying HTSG. The modelling results agree considerably with the reported experimental and modelling data in literature, and also able to return a direct comparison of advantage and disadvantage of each gasification method, in terms of syngas quantity and quality.

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Section: $mentioning

confidence: 99%

“…Specific heating values (Cp i ) of the species were combined with sensible enthalpies to obtain a comprehensive formulation, as suggested in [36]. Only specific heat of tar and ashes were supposed to be constant and taken from the literature [27].…”

Section: Governing Equationsmentioning

confidence: 99%

Assessing biomass steam gasification technologies using a multi-purpose model

Sepe

Li²,

Paul

2016

Energy Conversion and Management

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“…The one step global reaction model is simpler which considers decomposition of biomass into char, gas and tar. This model neglects all the intermediate reactions but it can still predict the process very well as it has been reported by many researches Blasi and Branca (2013); Peters (2011); Mandl et al (2010).…”

Section: Introductionmentioning

confidence: 68%

A Discrete/Continuous Numerical Approach to Multi-physics

et al. 2015

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A variety of technical applications are not only the physics of a single domain, but include several physical phenomena, and therefore are referred to as multi-physics. As long as the phenomena being taken into account is either continuous or discrete i.e. Euler or Lagrangian a homogeneous solution concept can be employed. However, numerous challenges in engineering include continuous and discrete phase simultaneously, and therefore cannot be solved only by continuous or discrete approaches. Problems include both a continuous and a discrete phase are important in applications of the pharmaceutical Industry e.g. drug production, agriculture and food processing industry, mining, construction and Agricultural machinery, metal production, power generation and systems biology. The Extended Discrete Element Method (XDEM) is a novel technique, which provides a significant advance for the coupled discrete and continuous numerical simulation concepts. It expands the dynamics of particles as described by the classical discrete element method (DEM) by a thermodynamic state or stress/strain coupled as fluid flow or structures for each particle in a continuum phase. XDEM additionally estimates properties such as the interior temperature and/or species distribution. These predictive capabilities are extended to fluid flow through an interaction by heat, mass and momentum transfer important for process engineering.

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“…However, in a gasification unit, drying, pyrolysis gasification and combustion all occur simultaneously [16]. Gasification is an endothermic process and the energy released from the combustion process is used to supply the energy required for gasification.…”

Section: Biomass Gasificationmentioning

confidence: 99%