Numerical simulation of the glowing combustion of moist wood by means of a front‐based model

Galgano, Antonio; Blasi, Colomba Di; Ritondale, S.; Todisco, A.

doi:10.1002/fam.2203

Cited by 14 publications

(19 citation statements)

References 48 publications

(116 reference statements)

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“…Another common simplification is to neglect the influence of the heat capacity of the gas phase [34,42,43,47,50,51,60]. This is a fair assumption, since the thermal mass (defined as m i c P,i , with m being the mass of a species) of wood char is 650 times larger than the thermal mass of gases [47].…”

Section: Evolution Equationsmentioning

confidence: 99%

“…where τ is tortuosity, σ c is a constriction factor and g is the volume fraction occupied by the gas phase, which is equal to the porosity in the case of dry wood. In some works, diffusion of the gas species is neglected, since it is assumed that it is much smaller compared to convection [50,51,60].…”

Section: Evolution Equationsmentioning

confidence: 99%

“…The convective term of the volatile species equation was adjusted by Galgano et al [60], such that the influence of the formation of cracks was partly considered in their work. They assumed that only a fraction of the entire gas phase is actually transported out by convection, and therefore has to pass the entire thickness of the hot char layer [60]. This means that a fraction of gases is modeled to leave the wood particle immediately along cracks and fissures.…”

Section: Evolution Equationsmentioning

confidence: 99%

See 2 more Smart Citations

Numerical models for thermochemical degradation of thermally thick woody biomass, and their application in domestic wood heating appliances and grate furnaces

Haberle

Skreiberg

Łazar

et al. 2017

Progress in Energy and Combustion Science

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This paper reviews the current state of the art of numerical models used for thermochemical degradation and combustion of thermally thick woody biomass particles. The focus is on the theory of drying, devolatilization and char conversion with respect to their implementation in numerical simulation tools. An introduction to wood chemistry, as well as the physical characteristics of wood, is also given in order to facilitate the discussion of simplifying assumptions in current models. Current research on single, densified or non-compressed, wood particle modeling is presented, and modeling approaches are compared. The different modeling approaches are categorized by the dimensionality of the model (1D, 2D or 3D), and the one-dimensional models are separated into mesh-based and interface-based models. Additionally, the applicability of the models for wood stoves is discussed, and an overview of the existing literature on numerical simulations of small-scale wood stoves and domestic boilers is given. Furthermore, current bed modeling approaches in large-scale grate furnaces are presented and compared against single particle models.

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Section: Evolution Equationsmentioning

confidence: 99%

Section: Evolution Equationsmentioning

confidence: 99%

Section: Evolution Equationsmentioning

confidence: 99%

See 1 more Smart Citation

Numerical models for thermochemical degradation of thermally thick woody biomass, and their application in domestic wood heating appliances and grate furnaces

Haberle

Skreiberg

Łazar

et al. 2017

Progress in Energy and Combustion Science

View full text Add to dashboard Cite

show abstract

“…According to the first approach, one or some global chemical reactions may be sufficient to describe wood devolatilization. A one-step global mechanism is the most simplified kinetic model used by many works in the literature [12][13][14][15][16][17]. Biomass decomposes into volatile compounds and a solid residue.…”

Section: Introductionmentioning

confidence: 99%

Development of a detailed kinetic model for the combustion of biomass

Dhahak

Bounaceur

Dreff-Lorimier

et al. 2019

Fuel

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In the context of the growing utilization of biomass to produce energy and of the related need to decrease pollutant emissions from domestic wood combustion devices, this paper presents a new kinetic model of wood combustion considering especially in details the gas-phase reactions related to the combustion of the tars produced by the biomass devolatization. The tar production is predicted using a semi-detailed mechanism of the literature. The tar gas-phase combustion model has been built as a compilation of literature mechanisms already proposed for these species, except for hydroxyacetaldehyde for which a new oxidation mechanism has been written. Experiments on the thermochemical behavior of three types of wood (beech, fir and oak) were also performed in parallel of this work using Thermogravimetric Analysis (TGA). The new detailed kinetic model of wood combustion, BioPOx (Biomass Pyrolysis and Oxidation), has been tested against a wide range of experimental results published in literature. This model fairly reproduces experimental results for pyrolysis and combustion of biomass and its constituents, key produced tars from biomass pyrolysis, and key compounds for Polycyclic Aromatic Hydrocarbons (PAH) formation, for a wide range of experimental devices and operating conditions.

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“…They are advantageous for complex problems as compared to other SA methods because they are computationally economic. Gillet [181] conducted a sensitivity analysis using the screening method on a one dimensional intumescent coating model.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Pyrolysis modeling, sensitivity analysis, and optimization techniques for combustible materials: A review

Nyazika

Jimenez

Samyn

et al. 2019

Journal of Fire Sciences

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Over the past years, pyrolysis models have moved from thermal models to comprehensive models with great flexibility including multi-step decomposition reactions. However, the downside is the need for a complete set of input data such as the material properties and the parameters related to the decomposition kinetics. Some of the parameters are not directly measurable or are difficult to determine and they carry a certain degree of uncertainty at high temperatures especially for materials that can melt, shrink, or swell. One can obtain input parameters by searching through the literature; however, certain materials may have the same nomenclature but the material properties may vary depending on the manufacturer, thereby inducing uncertainties in the model. Modelers have resorted to the use of optimization techniques such as gradient-based and direct search methods to estimate input parameters from experimental bench-scale data. As an integral part of the model, a sensitivity study allows to identify the role of each input parameter on the outputs. This work presents an overview of pyrolysis modeling, sensitivity analysis, and optimization techniques used to predict the fire behavior of combustible solids when exposed to an external heat flux.

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Numerical simulation of the glowing combustion of moist wood by means of a front‐based model

Cited by 14 publications

References 48 publications

Numerical models for thermochemical degradation of thermally thick woody biomass, and their application in domestic wood heating appliances and grate furnaces

Numerical models for thermochemical degradation of thermally thick woody biomass, and their application in domestic wood heating appliances and grate furnaces

Development of a detailed kinetic model for the combustion of biomass

Pyrolysis modeling, sensitivity analysis, and optimization techniques for combustible materials: A review

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