Evaluation of kinetic parameters from thermogravimetric curves

Chen, David T.Y.; Fong, Pong H.

doi:10.1016/0040-6031(77)80016-6

Cited by 17 publications

(6 citation statements)

References 20 publications

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“…The kinetic analysis of thermal decomposition of solid samples is often expressed by a single step kinetic equation :

\frac{italicdα}{italicdt} = k (T) f (α)

where f ( α ) is the conversion model, α is the extent of conversion and k ( T ) is the rate constant at temperature T . The rate constant generally obeys the Arrhenius equation :

k (T) = A e^{- \frac{E_{a}}{italicRT}}

where E a is the activation energy of the kinetic process (J/mol), A is the pre‐exponential factor (1/s), R is the universal gas constant (J/mol K) and T is the absolute temperature ( K ).…”

Section: Methodsmentioning

confidence: 99%

“…The kinetic analysis of thermal decomposition of solid samples is often expressed by a single step kinetic equation [2,41,[47][48][49][50][51][52]:…”

Section: Kinetic Analysismentioning

confidence: 99%

“…where f(α) is the conversion model, α is the extent of conversion and k(T) is the rate constant at temperature T. The rate constant generally obeys the Arrhenius equation [47][48][49][50][51][52]:…”

Section: Kinetic Analysismentioning

confidence: 99%

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An investigation of thermal behaviour of biomass and coal during copyrolysis using thermogravimetric analysis

Vhathvarothai

Ness

Qian

2013

Int. J. Energy Res.

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SUMMARYThe biomass, coal and their blends at blending ratios (biomass : coal) of 95:5, 90:10, 85:15 and 80:20 were pyrolysed under a nitrogen environment at four different heating rates comprising 5°C, 10°C, 15°C and 20°C per minute to investigate their pyrolytic behaviour and to determine kinetic parameters of thermal decomposition through Kissinger's corrected kinetic equation using the thermogravimetric analysis results. In the kinetic analysis, the activation energy of both types of biomass was less than that of coal, being 168.7 kJ/mol (cypress wood chips), 164.6 kJ/mol (macadamia nut shells) and 199.6 kJ/mol (Australian bituminous coal). The activation energy of the blends of biomass and coal followed that of the weighted average of the individual samples in the blends. Char production of the samples and the blends was also analysed to observe any synergetic effects and thermal interaction between biomass and coal. The char production of the blends corresponded to the sum of the results for the individual samples with the coefficient of determination of 0.999. Thermal decomposition of biomass and coal appeared to take place independently, and thus, the activation energy of the blends can be calculated from that of the two components. There was no evidence for any significant synergetic effects and thermal interaction between either type of biomass and coal during copyrolysis. Copyright © 2013 John Wiley & Sons, Ltd.

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“…The kinetic analysis of thermal decomposition of solid samples is often expressed by a single step kinetic equation :

\frac{italicdα}{italicdt} = k (T) f (α)

where f ( α ) is the conversion model, α is the extent of conversion and k ( T ) is the rate constant at temperature T . The rate constant generally obeys the Arrhenius equation :

k (T) = A e^{- \frac{E_{a}}{italicRT}}

where E a is the activation energy of the kinetic process (J/mol), A is the pre‐exponential factor (1/s), R is the universal gas constant (J/mol K) and T is the absolute temperature ( K ).…”

Section: Methodsmentioning

confidence: 99%

“…The kinetic analysis of thermal decomposition of solid samples is often expressed by a single step kinetic equation [2,41,[47][48][49][50][51][52]:…”

Section: Kinetic Analysismentioning

confidence: 99%

See 1 more Smart Citation

An investigation of thermal behaviour of biomass and coal during copyrolysis using thermogravimetric analysis

Vhathvarothai

Ness

Qian

2013

Int. J. Energy Res.

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show abstract

“…Kinetic analysis of thermal decomposition of solid samples can be generally expressed by a single step kinetic equation

\frac{italicdα}{italicdt} = k (T) f (α)

where f(α) is the conversion model; α is the extent of conversion; k(T) is the rate constant at temperature T, which generally obeys the Arrhenius equation .

k (T) = A e^{- \frac{E_{a}}{italicRT}}

where E a is the activation energy of the kinetic process (J/mol), A is the pre‐exponential factor (1/s), R is the universal gas constant (J/mol K) and T is the absolute temperature (K).…”

Section: Methodsmentioning

confidence: 99%

An investigation of thermal behaviour of biomass and coal during co-combustion using thermogravimetric analysis (TGA)

Vhathvarothai

Ness

Qian

2013

Int. J. Energy Res.

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SUMMARY The thermal behaviour and kinetic analysis of biomass (cypress wood chips and macadamia nut shells) and Australian bituminous coal during combustion were studies using the thermogravimetric technique with four different heating rates under an air atmosphere. Each type of biomass was blended with coal at mass ratios (biomass:coal) of 95:5, 90:10, 85:15 and 80:20 to investigate the effect of coal as a supplementary fuel on thermal behaviour during the combustion process. Combustion of the individual samples and the blends took place in three steps comprising dehydration, devolatilisation and char oxidation. During co‐combustion, the thermal decomposition behaviour of the blends followed that of the weighted average of the individual samples in the blends. In kinetic analysis, thermal decomposition of biomass and coal appeared to take place independently, and thus, the activation energy of the blends can be calculated from that of the two components. No evidence for any significant synergetic effects or thermal interaction was found between either type of biomass and the coal during co‐combustion based on the lack of deviation from expected behaviour of the blends. Copyright © 2013 John Wiley & Sons, Ltd.

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“…The data of Table 5 prove these conclusions as examples comparing the constants of the CE by li to data of other origin, completed from the literature [22,[28][29][30]. In addition Table 5 shows the trend of the dependence of taacx (1/RT~ on the examined materials, morover the fine structure of the CE.…”

Section: (8)mentioning

confidence: 67%

Extending the applicability of TG measurements to industry and to quality ensuring by dimensionless analysis

Adonyi

1996

Journal of Thermal Analysis

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The li=EilRTi dimensionless evaluation is very suitable for describing the q~ measurements according to the Ei/RTI = lnA + n[ln(1--a)~]-ln(d~x/dt)i equation. The Ii and El functions make the comparison of the different TG measurements possible quantitatively in the case of more DTG peaks as well.The Ii and El values as function of (1--~)i and 1/7] open new way for further theoretical and practical studies by TG measurements. Such types of results are the quantitative determination of the effect of the measuring conditions, the measuring of the mechanoehemieal effect of grinding and among others the explanation of the self-hardening process of fly ashes of power stations.Strict connections exist between the li functions and the constants of the compensation effect (CE). These constants (tanct, axis intersect) can be calculated directly from the average of the measured data of the li function making the introduction and theoretical and practical application of the idea of 'general activation energy' (~3 possible. The quantitative characterisation of the examined materials of the free structure of CE and of the thermal processes together proves the extending importance of TG measurements from industrial and material qualification aspects as well.

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Evaluation of kinetic parameters from thermogravimetric curves

Cited by 17 publications

References 20 publications

An investigation of thermal behaviour of biomass and coal during copyrolysis using thermogravimetric analysis

An investigation of thermal behaviour of biomass and coal during copyrolysis using thermogravimetric analysis

An investigation of thermal behaviour of biomass and coal during co-combustion using thermogravimetric analysis (TGA)

Extending the applicability of TG measurements to industry and to quality ensuring by dimensionless analysis

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