Interface Tracking During Char Particle Gasification

Dierich, F.; Wittig, Kay

doi:10.1002/9783527673186.ch7

Cited by 2 publications

(5 citation statements)

References 29 publications

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“…To answer the latter questions, the use of the method provided here in conjunction with an immersed boundary finite volume CFD solver can easily employ the existing Cartesian grid structures from the surface reconstruction method . Finally it is discussed, that this work introduced a new approach for tracking the structure and the surface of porous media.…”

Section: Discussionmentioning

confidence: 99%

“…with

ε_{0}

denoting the initial particle porosity. The initial specific surface area

S_{0}^{'''}

was obtained from a numerical interface reconstruction algorithm which is described in Dierich and Wittig . In this study, the variety of examined porosities influenced both

S_{0}^{'''}

and

ε_{0}

, such that the results of Th are subject to some variation.…”

Section: Problem Descriptionmentioning

confidence: 99%

“…and applying it to the change in volume of each pore located inside the porous particle. Therefore the volume and the surface of each specific pore is determined using an interface reconstruction method, see Wittig et al, Wittig for more details (an alternative to this method was proposed in Dierich and Wittig). Using the Euler method, the change in the pore volume between two consecutive time steps i and i + 1 is written as

V_{p}^{i + 1} = V_{p}^{i} + {Δ t \frac{S_{local}^{'''} \cdot V_{local} \cdot {\dot{m}}_{C, p}^{''}}{ρ_{s}} |}_{p} = V_{p}^{i} + Δ t \underset{Δ V_{p}^{i}}{\underset{︸}{\frac{A_{p}^{i} \cdot {\dot{m}}_{C, p}^{''}}{ρ_{s}}}}

…”

Section: Particle Pore Growthmentioning

confidence: 99%

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Three‐dimensional modeling of porosity development during the gasification of a char particle

et al. 2016

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This work is devoted to the three‐dimensional, direct modeling of porosity and specific surface development during the gasification of a char particle. The model was developed for heterogeneous reactions occurring inside a char particle in a kinetically controlled regime. The main goal of this work is to analyze the impact of different pore size distributions on the particle carbon conversion rate. In particular, it is shown that under certain conditions the outer particle surface can influence the specific surface area. In this context the possible adaptation of the parameter ψ from the random pore model (RPM) developed by Bhatia and Perlmutter is explained. The results of simulations are compared against the RPM and discussed. Additionally, based on the results of simulations, the physics behind several input parameters used by the RPM are explored. Finally, the possible fragmentation of a chemically reacting char particle during its gasification in dependence of instantaneous porosity was investigated numerically. It was shown that the earliest fragmentation occurs at a carbon conversion of about 0.5–0.6 due to the disaggregation of the pore walls. The results are discussed and compared implicitly with data published in the literature. © 2016 American Institute of Chemical Engineers AIChE J, 63: 1638–1647, 2017

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Section: Discussionmentioning

confidence: 99%

“…with

ε_{0}

denoting the initial particle porosity. The initial specific surface area

S_{0}^{'''}

was obtained from a numerical interface reconstruction algorithm which is described in Dierich and Wittig . In this study, the variety of examined porosities influenced both

S_{0}^{'''}

and

ε_{0}

, such that the results of Th are subject to some variation.…”

Section: Problem Descriptionmentioning

confidence: 99%

V_{p}^{i + 1} = V_{p}^{i} + {Δ t \frac{S_{local}^{'''} \cdot V_{local} \cdot {\dot{m}}_{C, p}^{''}}{ρ_{s}} |}_{p} = V_{p}^{i} + Δ t \underset{Δ V_{p}^{i}}{\underset{︸}{\frac{A_{p}^{i} \cdot {\dot{m}}_{C, p}^{''}}{ρ_{s}}}}

…”

Section: Particle Pore Growthmentioning

confidence: 99%

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Three‐dimensional modeling of porosity development during the gasification of a char particle

et al. 2016

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“…where i,r is the stoichiometric coefficient for reactant i in reaction r and i,r is the stoichiometric coefficient for product i in reaction r. Á j,r and Á j,r are the forward and backward rate exponents for each reactant and product species j in reaction r. Note that the absorption coefficient a for the gas radiation in the P-1 model is calculated using the 'cell-based weighted-sum-ofgray-gases model.' [27,46] For details on validation of the P-1 model applied to a chemically reacting carbon particle moving in a hot gas, we refer to Richter et al [38] Finally, it should be emphasized that Equations (10)(11)(12)(13)(14)(15) and (16) are written in coordinate-free vector in accordance with Kee et al [29] and Ferziger and Peric. [16]…”

Section: Chemistrymentioning

confidence: 99%

“…For details see Dierich and Wittig. [10] The final grid for 2-D simulations comprises 46 × 10 3 control volumes (Figure 1d). This resolution was chosen based on the grid study performed for three different grids with 13 × 10 3 CV, 46 × 10 3 CV, and 113 × 10 3 CV, respectively.…”

Section: Numerics and Software Validationmentioning

confidence: 99%

2‐D approximation of a structured packed bed column

2016

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The landfill leachate can be a major problem due to large variability of high organic, inorganic, heavy metal content and toxicity characteristics from landfill leachate such as cadmium. Thus, this study was aimed to observe the application of rice husk packed bed column to reduce cadmium from landfill leachate. Experiment was conducted in gravity down flow system by pumping landfill leachate into packed bed column. The effect of influent flow rate to adsorption capacity was studied by varying flow rate (5 mL/min and 10 mL/min). The effluent-influent concentration ratio C /C (%) as a function of throughput volume (L) was used to represent the e 0 breakthrough curve in column systems. Result shows that the flow rate of 5 mL/min was favorable to achieve higher removal rates with the percentage of cadmium was 57 %. At breakthrough time, the cadmium effluent concentration reached on 0.01 mg/l for both of flow rate. Kata Kunci : Landfill leachate, packed bed column, adsorption, rice husk, cadmium. ABSTRAK Lindi yang dihasilkan dari TPA (Tempat Pembuangan Akhir) menimbulkan permasalahan lingkungan karena kandungan pencemarnya meliputi material organik, material anorganik, logam dan material beracun. Salah satu logam berat yang terdapat dalam lindi tersebut adalah kadmium. Penelitian ini bertujuan untuk mereduksi kadmium dalam lindi dengan menggunakan sekam padi yang diinstal dalam packed bed column. Lindi dipompakan dari tangki penampung lindi ke dalam packed bed column dan dialirkan dari atas ke bawah kolom secara gravitasi. Fokus pada penelitian ini adalah pengaruh laju alir influen terhadap kapasitas adsorpsi. Dimana lindi dialirkan dengan laju alir 5 mL/menit dan 10 mL/menit. Kurva breakthrough (titik jenuh) kolom dipresentasikan oleh hubungan antara rasio konsentrasi efluen-influen C /C (%) dan e 0 jumlah aliran lindi yang diolah dalam kolom. Hasil eksperimen menunjukkan bahwa persentase reduksi tertinggi dicapai pada laju alir 5 mL/menit yaitu 57%. Waktu jenuh kedua laju alir (5 mL/menit dan 10 mL/menit) tercapai saat konsentrasi efluen kadmium 0.01 mg/L.

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Interface Tracking During Char Particle Gasification

Cited by 2 publications

References 29 publications

Three‐dimensional modeling of porosity development during the gasification of a char particle

Three‐dimensional modeling of porosity development during the gasification of a char particle

2‐D approximation of a structured packed bed column

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