An Unreacted Shrinking Core Model for Calcination and Similar Solid-to-Gas Reactions

Amiri, Amirpiran; Ingram, Gordon D.; Maynard, Nicoleta; Livk, Iztok; Bekker, Andrey V.

doi:10.1080/00986445.2014.910771

Cited by 26 publications

(14 citation statements)

References 41 publications

(62 reference statements)

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“…forms (Amiri et al, 2013a;Amiri et al, 2015). In an effectively agitated reactor with a constant supply of CO 2 gas molecules, as reported by Linga et al, (Linga et al, 2007) hydrate formation is considered to occur in individual water droplets, and therefore the MSSCM encompassing both the nucleation and growth steps can be schematically illustrated as shown in Fig.…”

Section: Multi-stage Scm Developmentmentioning

confidence: 96%

“…Solid-fluid models are another approach to model the process of gas hydrate formation. The unreacted shrinking core model (SCM), in particular, has been commonly used for modelling of gas-solid reactions in which the diffusion rate is slow compared to the reaction rate on the unreacted core (Amiri et al, 2015). It has been shown that diffusion in the hydrate layer, in contrast to the mass transfer in the fluid surrounding the particle, is the most dominant controlling mechanism for the overall progress of CO 2 hydration (Dashti et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Modeling of hydrate-based CO2 capture with nucleation stage and induction time prediction capability

Dashti

Thomas

Amiri

2019

Journal of Cleaner Production

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Gas hydrate technology is a promising approach for carbon capture. However, due to the multiphysics and multi-scale complexity of the process, this technology is not sufficiently understood for real-life scale applications. In particular, further fundamental studies of the hydrate formation mechanisms and rate are needed to achieve relevant insights into the process design and intensification. High-fidelity numerical models are crucial to capture and explain the dominant physicochemical mechanisms involved in the process. This paper presents a new variation of the shrinking core model (SCM) that can capture the practically observed features of the carbon dioxide (CO 2) hydration process, including the nucleation phase behavior and induction time, which have not been exploited previously. Accordingly, the most significant contribution of the current work to the literature is the proposal and demonstration of an efficient and rapid predictive tool for the CO 2 hydrate nucleation process. Moreover, a modelbased estimation of the induction time, as a critical parameter in CO 2 hydrate rate estimation and control, is presented. Additionally, the temperature history profile over the nucleation and growth phases is simulated and compared against experimental data from the literature. The proposed model offers an in-depth and rationale analysis tool compared to the primary forms of the SCM and other models in which the nucleation stage has been compromised for the sake of mathematical modeling and numerical solution simplicity. The proposed concept is generic enough to be used for CH 4 hydration process too.

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Section: Multi-stage Scm Developmentmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Modeling of hydrate-based CO2 capture with nucleation stage and induction time prediction capability

Dashti

Thomas

Amiri

2019

Journal of Cleaner Production

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“…Mathematical modelling of gas-solid systems is usually used to interpret experimental results and to gain insight into the reaction mechanisms. Due to its importance, the modelling of these heterogeneous reactions has been of strong interest to investigators for several decades, resulting in a variety of modelling approaches [16]. The major models that have been developed for non-catalytic gas-solid reactions are the unreacted shrinking core, shrinking particle, homogeneous and grain models.…”

Section: Reduction Roasting Kineticsmentioning

confidence: 99%

Kinetics of Reduction Roasting of Low-grade Manganese Dioxide Ore in the Novel Four-tube Reduction Finance

Li¹,

Liu²,

Zong-ping³

et al. 2018

dtetr

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The kinetics of reduction roasting of low-grade manganese dioxide ore used in this work has been established with four-tube reduction finance. XRD analysis of the as-mined ore samples affirmed the presence of manganese dioxide as the major manganese mineral in the ore. Samples with particles size ranges -5mm were treated using coal as the reductant. The effects of reduction temperature, time and mass ratio of coal to low-grade manganese dioxide ore on the rate of reduction were investigated. It was found that the optimum manganese reduction rate could be up to 93.05% under the conditions that the mass ratio of coal to manganese dioxide ore was 0.12:1, the roasting temperature was 850ºC, and the roasting time was 20min. An unreacted shrinking-core model was proposed to describe the kinetics of reduction. Based on experimental results, It was confirmed that the reduction process was controlled by diffusion through the ash/inert solid layer. The apparent activation energy was determined to be 106.65 kJ /mol. 1 KEYWORD low-grade manganese dioxide ore; reduction roasting; unreacted shrinking core model; Kinetics

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“…Kinetic decomposition was studied by applying unreacted shrinking core model [17]. The influence of different temperature regions upon the thermal behavior of chemical compounds can provide kinetic parameters indicating change in the reaction pathway.…”

Section: Introductionmentioning

confidence: 99%

Thermal Decomposition Kinetics of Lanthanum Oxalate Hydrate Product Treatment From Monazite

Purwani

Suyanti

Adi

2019

jsmi

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THERMAL DECOMPOSITION KINETICS OF LANTHANUM OXALATE HYDRATE PRODUCT TREATMENT FROM MONAZITE. Unreacted shrinking core model variation was developed for calcination and solid thermal decomposition reaction to non-catalytic gas and no gas reactants were involved. In this research, thermal decomposition of lanthanum oxalate hydrate product treatment of monazite was studied. The parameters for modeling are time and temperature of thermal decomposition. The time was between 0-150 minutes with 30 minutes intervals and the temperature range between 600-700 o C with 100 o C intervals. Based on the experimental data it can be concluded that the most suitable model was unreacted core sphere ash diffusion controls and obtained the relation between temperature o C with diffusion coefficient following equation = 0.0011 + 0.5175 with linearity R² = 0.9561. Another possible model was the sphere reaction control and obtained the relationship between 1/ (K) and reaction rate constant was = 48873.e-4.88 / with activation energy = 4.88 kJ. The relationship between time t with (radius of particles at time t) at various temperatures and the relation between temperature and at various times follows the exponential line equation. If temperature and time parameters were combined, the relation between time and temperature with following the equation ln =-0.9536 (9E-04 + 0.005) + 4.9976 will be found.

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An Unreacted Shrinking Core Model for Calcination and Similar Solid-to-Gas Reactions

Cited by 26 publications

References 41 publications

Modeling of hydrate-based CO2 capture with nucleation stage and induction time prediction capability

Modeling of hydrate-based CO2 capture with nucleation stage and induction time prediction capability

Kinetics of Reduction Roasting of Low-grade Manganese Dioxide Ore in the Novel Four-tube Reduction Finance

Thermal Decomposition Kinetics of Lanthanum Oxalate Hydrate Product Treatment From Monazite

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