Distributed activation energy modelling for pyrolysis of forest waste using Gaussian distribution

Dhaundiyal, Alok; Singh, Sukhwinder

doi:10.1515/prolas-2016-0011

Cited by 12 publications

(9 citation statements)

References 20 publications

(19 reference statements)

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“…The values of activation energy in air are higher than E a for the inert atmosphere of nitrogen [54]. Dhaundiyal and Singh [55] used the multi-reaction model and obtained 80 kJ mol −1 as an activation energy for pine needles in the presence of nitrogen atmosphere, which is very close to the average values obtained by using FWO and KAS methods. The difference in kinetic parameters shows a complicated nature of pine needles species, namely cellulose, hemicellulose, lignin and extractives Additionally, the different experimental conditions and different calculation procedures cause the calculated kinetic parameters to vary in magnitude for the same class of biomass.…”

Section: Kinetic Analysissupporting

confidence: 66%

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: Kinetic Analysissupporting

confidence: 66%

Thermo-kinetics of Forest Waste Using Model-Free Methods

2019

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“…International literature-conducted measurements gave the basis for a three-phase separation. As such, Dhaundiyal-Singh (2016) [45] as (a) Loss of moisture content (drying); (b) Evaporation of volatile substances, and gas production; (c) Gas production and carbonization.…”

Section: Methodsmentioning

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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“…The approximated results in the case of the Rayleigh distribution depend on other more decisive variables. In case of the Rayleigh distribution, asymptotic techniques do not provide relatively more accurate curve fitting than non-isothermal conditions [7], [12]. The variation in the pattern of the curves due to some relevant parameter of biomass pyrolysis is negligible.…”

Section: Application Of Biomassmentioning

confidence: 99%

Asymptotic solution to the isothermal nth order distributed activation energy model using the Rayleigh Distribution

Dhaundiyal¹,

Singh²

2016

JNRD

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This article focuses on the influence of relevant parameters of biomass pyrolysis on the numerical solution of the isothermal n th-order distributed activation energy model (DAEM) using the Rayleigh distribution as the initial distribution function F(E) of the activation energies. In this study, the integral upper limit, the frequency factor, the reaction order and the scale parameters are investigated. This paper also derived the asymptotic approximation for the DAEM. The influence of these parameters is used to calculate the kinetic parameters of the isothermal n th-order DAEM with the help of thermo-analytical results of TGA/DTG analysis.

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Distributed activation energy modelling for pyrolysis of forest waste using Gaussian distribution

Cited by 12 publications

References 20 publications

Thermo-kinetics of Forest Waste Using Model-Free Methods

Thermo-kinetics of Forest Waste Using Model-Free Methods

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

Asymptotic solution to the isothermal nth order distributed activation energy model using the Rayleigh Distribution

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