Determination of Kinetic Parameters for the Thermal Decomposition of Parthenium hysterophorus

Dhaundiyal, Alok; Singh, Sukhwinder; Hanon, Muammel M.; Rawat, Rekha

doi:10.1515/rtuect-2018-0001

Cited by 56 publications

(38 citation statements)

References 36 publications

(40 reference statements)

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“…It is suggested that the kinetic analysis should not be based on the single heating rate [8,11]. Furthermore, thermal decomposition of weed indicates that the results obtained from Coats-Redfern are highly incoherent as compared to model-free scheme [12]. However, this method can be transformed into iso-conversional method through rearrangement of the conventional form of Coats-Redfern equation (1) [8].…”

Section: Chemical Kineticsmentioning

confidence: 99%

Thermo-kinetics of Forest Waste Using Model-Free Methods

2019

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Thermal behaviour of pine needles (Pinus Roxburghii) is examined through a thermogravimetry technique. The dried samples of pine needles undergo the non isothermal decomposition at temperature range of 308 - 1173 K. The heating rates used for experimental purposes are: 5 °C min-1, 10 °C min-1 and 15 °C min-1. Kinetic parameters of thermal decomposition reactions of pine needles are obtained through the model-free schemes. The estimated values of activation energy and frequency factor derived from Kissinger method are 132.77 kJ mol-1 and 13.15 x107 min-1, respectively. Furthermore, the averaged values of the same kinetics parameters retrieved from the isoconversional methods are 82.38 kJ mol-1 and 74.833 kJ mol-1, 25.42 x1013 min-1 and 13.449 x1010 min-1, respectively. Instead of the Flynn-Wall-Ozawa (FWO) and Kissinger-Akahira Sunrose (KAS) schemes, the kinetic parameters derived from the Kissinger method are relatively promising for the thermal decomposition process, since the kinetic parameters are highly affected by intermediate stages and overlapping of the concurrent reaction occurred during pyrolysis.

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Section: Chemical Kineticsmentioning

confidence: 99%

Thermo-kinetics of Forest Waste Using Model-Free Methods

2019

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“…Thus, it can be concluded that the predicted solution converges if the mathematical model involves the nonlinear thermal profile. The results obtained for pine needles are compared with similar kind of coniferous species, and it has been found that activation energy is within the range of activation energy derived from other statistical models [14,[68][69][70][71][72][73].…”

Section: Resultsmentioning

confidence: 68%

“…formation and growth of nuclei. Detailed information about kinetic models of solid decomposition is reported in the literature [14][15][16]. When a solid sample undergoes thermal treatment, the amplitudes of the vibration of the lattice increase proportionally with temperature, which finally allows physical as well as chemical transformation of sample.…”

Section: Thermal Analysismentioning

confidence: 99%

“…Assessment of thermal conversion process pivots on the methodology adopted to analyse the kinetic data. Dhaundiyal et al [22] used approximations to temperature integral through the bivariant nature of activation energies and concluded that kinetic parameters evaluated through methodology are very near to a solution obtained by derivative methods [14]. If the robust mathematical technique is applied to a given model, the obtained solution can converge to the differential schemes.…”

Section: Kinetic Analysismentioning

confidence: 99%

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The generalisation of a multi-reaction model for polynomial ramping of temperature

Dhaundiyal

Singh

2020

J Therm Anal Calorim

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This paper deals with the numerical solution of a multi-reaction model for the complex thermal history. The effect of thermal and kinetic parameters is investigated in this analytical study. The concept of moving maximum with time and the approximation of complex integral form of reactivity are introduced with the help of an advance integral methodology. The sigmoidal reactions of biomass pyrolysis are explained through the transmuted density function. Thermogravimetry of biomass sample is performed with the help of thermogravimetric analyser at different heating rates (5 °C min −1 , 10 °C min −1 and 15 °C min −1 ). The solutions of the integral form are obtained at different degrees of the nonlinear equation and to generalise the proposed methodology for the industrial application. The main objective of the paper is to identify the correlation of temperature history with the kinetics of biomass pyrolysis.

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“…The actual process of the pyrolysis or lack thereof is dependent on the different densities, and the temperature of the given point in the system. The latter is defined by mid-products, and different behaviour [39,40], this is why there are regulations in place for the level of chipping for chipped biomass (whether we're talking about combustion or pyrolysis). By chipping the biomass, the size of pieces reduces, but the entire surface area of the chips increases.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Some Operating Parameters Required for the Development of Fixed Bed Small Scale Pyrolysis Plant

Bacskai

Madar²,

Fogarassy

et al. 2019

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In recent years, we have read a lot of research aimed at creating a small, easy-to-mobilize pyrolysis unit. But these devices were not efficiently designed. According to literature data, small equipment (5.0–50 kW) has to be considered differently on the combustion aspects, compared to a larger pyrolysis unit. The main purpose of our research is to determine the operating characteristics of a small fixed bedding CHP (combined heat and power) pyrolysis power plant. At the design stage, it is also critical to know the properties of the biomass (usually different biological wastes) used on the input side. The use of a wide diversity of biomass waste may result in the volume of material remains and the energy produced is not usable in the right form. To obtain a clear picture of the combustion conditions, a fixed bedding pilot pyrolysis device was made. With the measurements in the experimental apparatus, we have a clearer picture of the changes in some of combustion parameters. We have examined exactly how the size and hardness of biomass materials affect the efficiency of pyrolysis. By modelling the “mass change”—with the knowledge of the material content, physical characteristics, and the parameters of the pyrolysis equipment—the amount of the expected material remains, and combustion conditions can be predicted with a mathematical function. We have found an appropriate mathematical model (R2 = 0.8758) to describe the relationship between gas production and material structure for a given period.

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Determination of Kinetic Parameters for the Thermal Decomposition of Parthenium hysterophorus

Cited by 56 publications

References 36 publications

Thermo-kinetics of Forest Waste Using Model-Free Methods

Thermo-kinetics of Forest Waste Using Model-Free Methods

The generalisation of a multi-reaction model for polynomial ramping of temperature

Modeling of Some Operating Parameters Required for the Development of Fixed Bed Small Scale Pyrolysis Plant

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