Pyrolysis kinetics of potassium-impregnated rubberwood analyzed by evolutionary computation

Lin, Yu Ying; Chen, Wei‐Hsin; Colin, Baptiste; Lin, Bo; Leconte, François; Pétrissans, Anelie; Pétrissans, Mathieu

doi:10.1016/j.biortech.2020.124145

Cited by 9 publications

(9 citation statements)

References 46 publications

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“…Regarding the literature on torrefaction treatment, the evidenced ranking of reactions is 𝑘 1 > 𝑘 𝑉 1 during the first step [25,42,[49][50][51], corroborating with the results. The first step reaction rate behavior is in line with the pyrolysis kinetics of rubberwood [61], which showed a slight increase of reaction rates with the potassium concentration (0.004M, 0.008M, and 0.012M) during thermal degradation of the hemicelluloses. The obtained reaction rates in the first step also corroborate with the pyrolysis experiments from [80], which reported a slight increase of the hemicelluloses reaction temperature as the K2CO3 concentration increased.…”

Section: Tablesupporting

confidence: 72%

“…Regarding the temperature range of 200-300 °C (characteristic of torrefaction) and the potassium concentration limits of the present study, the reported results in [58,60,61] showed no noticeable (or even slight) variations in the obtained activation energies.…”

Section: 6mentioning

confidence: 46%

“…Lin et al (2021) applied the rubberwood pyrolysis experimental results from [34] to explore the pyrolysis kinetics by an independent parallel reaction model describing the catalytic effect on the four pseudo-component [61]. Pyrolysis kinetics results showed that the highest K2CO3 concentration (0.012M) reduced the activation energy of cellulose, from 223.86 to 204.14 kJ.mol −1 , whereas there was no noticeable effect on the activation energies of hemicelluloses and lignin [61].…”

Section: J O U R N a L P R E -P R O O Fmentioning

confidence: 99%

“…Previous work analyzed the kinetic behavior by evaluating the activation energies for different potassium concentrations and specific pyrolysis conditions [58,60,61].…”

Section: 6mentioning

confidence: 99%

“…Several approaches to iso-thermal kinetics, such as one [45,46], two [25,42,[47][48][49][50][51][52][53], multi-step [54][55][56][57][58], and multi-component [59] models have been developed. The literature also presents studies on the potassium content effect on Pyrolysis kinetics [58,60,61]. Guo et al (2016) investigated the potassium impregnation effect (0.1, 0.3, and 0.5 mol.kg -1 ) on the pyrolysis kinetics of pinewood through TGA and fixed bed reactor techniques and the Flynn-Wall-Ozawa numerical method [60].…”

Section: Introductionmentioning

confidence: 99%

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A potassium responsive numerical path to model catalytic torrefaction kinetics

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Section: Tablesupporting

confidence: 72%

Section: 6mentioning

confidence: 46%

Section: J O U R N a L P R E -P R O O Fmentioning

confidence: 99%

“…Previous work analyzed the kinetic behavior by evaluating the activation energies for different potassium concentrations and specific pyrolysis conditions [58,60,61].…”

Section: 6mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A potassium responsive numerical path to model catalytic torrefaction kinetics

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Analysis of the Applications of Particle Swarm Optimization and Genetic Algorithms on Reaction Kinetics: A Prospective Study for Advanced Oxidation Processes

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A bibliometric analysis of the Scopus database was implemented to assess the spread of two types of evolutionary algorithms (EAs), genetic algorithms (GA) and particle swarm optimization (PSO), on the study of reaction kinetics. Particular attention was given to applications for advanced oxidation processes (AOPs). The collaborations between countries and authors, as well as the keywords co‐occurrences, were investigated. Finally, the Gompertz and Logistic Substitution models (LSM) were employed to forecast future scenarios. It was observed that GA methods were the preferred algorithms for reaction kinetic studies, and the USA was the most influential country in terms of collaboration, followed by China. On the other hand, there was still poor collaboration for most countries; this was also observed for authors’ collaboration. In addition, literature concerning AOPs was still scarce. The forecasting suggested growth for implementing evolutionary algorithms, especially for the PSO, increasing its popularity regarding GA methods.

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