The production of synthetic natural gas (SNG): A comparison of three wood gasification systems for energy balance and overall efficiency

Meijden, C.M. van der; Veringa, H.J.; Rabou, L.P.L.M.

doi:10.1016/j.biombioe.2009.11.001

Cited by 170 publications

(69 citation statements)

References 3 publications

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“…It was found that at the highest value of ε C the highest deviation was observed between the reported and calculated dry tar free gas yield values. At the lowest value of ε C calculated using the correlation of Van der Meijden et al (2010) the gas yield was in a relatively good agreement with the experiment but the generation of tar and the composition of the gas were radically different. At the value of ε C = 0.85 the results of the calculation were in a relatively good agreement with the measurements (for a system using a nickel-olivine catalyst).…”

Section: Resultssupporting

confidence: 64%

“…Three values of carbon efficiency were tested. The first one was ε C = 0.85 as suggested by Schuster et al (2001), the second one was ε C = 0.89 as suggested by Fercher et al (1998) and the third one was calculated from the correlation presented by Van der Meijden et al (2010) that resulted in significantly lower values. It was found that at the highest value of ε C the highest deviation was observed between the reported and calculated dry tar free gas yield values.…”

Section: Resultsmentioning

confidence: 96%

“…In allothermal gasifiers, where pure steam is used as the gasification agent and heat is supplied from an external source, the conversion efficiency is between 85 -92 %. Van der Meijden et al (2010) modelled an autothermal fluidized bed gasification of biomass using the approximated single value of carbon conversion efficiency of 90%. In the case of allothermal steam gasification they calculated conversion efficiency using a linear function of temperature that gave the values from 71% to 86% within the range from 800 to 900ºC.…”

Section: Introductionmentioning

confidence: 99%

“…However, in some unfavorable conditions as much as 100 g/Nm 3 can be generated. Van der Meijden et al (2010) assumed generic tar concentration in a dry raw producer gas from fluidized reactors of 30 g/Nm 3 . Gil et al (1999) established the so-called "representative" values for tar contents in a dry producer gas.…”

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: Resultssupporting

confidence: 64%

Section: Resultsmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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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“…The bio-SNG process has been gaining interest as a promising downstream technology via thermal gasification of biomass. Several plausible alternative processes are reported in the literature; see, e.g., [3,6,[9][10][11][12][13]. The production of SNG from biomass is generally considered to be made of three main process stages: gasification of the lignocellulosic biomass into raw syngas (mainly composed of H 2 , CO, CO 2 and CH 4 on a dry basis), methanation (catalytic conversion of the syngas into crude SNG) and upgrading of the crude SNG to the gas pipeline specifications (which implies CO 2 and H 2 O removal).…”

Section: Introductionmentioning

confidence: 99%

Integrated SNG Production in a Typical Nordic Sawmill

Mesfun

Anderson²,

Umeki

et al. 2016

Energies

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Advanced biomass-based motor fuels and chemicals are becoming increasingly important to replace fossil energy sources within the coming decades. It is likely that the new biorefineries will evolve mainly from existing forest industry sites, as they already have the required biomass handling infrastructure in place. The main objective of this work is to assess the potential for increasing the profit margin from sawmill byproducts by integrating innovative downstream processes. The focus is on the techno-economic evaluation of an integrated site for biomass-based synthetic natural gas (bio-SNG) production. The option of using the syngas in a biomass-integrated gasification combined cycle (b-IGCC) for the production of electricity (instead of SNG) is also considered for comparison. The process flowsheets that are used to analyze the energy and material balances are modelled in MATLAB and Simulink. A mathematical process integration model of a typical Nordic sawmill is used to analyze the effects on the energy flows in the overall site, as well as to evaluate the site economics. Different plant sizes have been considered in order to assess the economy-of-scale effect. The technical data required as input are collected from the literature and, in some cases, from experiments. The investment cost is evaluated on the basis of conducted studies, third party supplier budget quotations and in-house database information. This paper presents complete material and energy balances of the considered processes and the resulting process economics. Results show that in order for the integrated SNG production to be favored, depending on the sawmill size, a biofuel subsidy in the order of 28-52 €/MWh SNG is required.

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From Biomass to SNG

Felice

Micheli

2015

Process Intensification for Sustainable Energy Conversion

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The production of synthetic natural gas (SNG): A comparison of three wood gasification systems for energy balance and overall efficiency

Cited by 170 publications

References 3 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

Integrated SNG Production in a Typical Nordic Sawmill

From Biomass to SNG

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