Kinetics Modeling of Low-Rank Coal Pyrolysis Based on a Three-Gaussian Distributed Activation Energy Model (DAEM) Reaction Model

2016 ◽  
Vol 30 (11) ◽  
pp. 9693-9702 ◽  
Author(s):  
Junli Wang ◽  
Peng Li ◽  
Litong Liang ◽  
Jingxuan Yang ◽  
Xiaogang Hao ◽  
...  
Keyword(s):  
Activation Energy ◽  
Reaction Model ◽  
Energy Model ◽  
Low Rank ◽  
Coal Pyrolysis ◽  
Low Rank Coal ◽  
Distributed Activation Energy Model ◽  
Kinetics Modeling

scholarly journals Thermal debinding behavior of a low-toxic DMAA polymer for gelcast ceramic parts based on TG-FTIR and kinetic modeling

RSC Advances ◽  
2019 ◽  
Vol 9 (15) ◽  
pp. 8415-8425 ◽  
Author(s):  
Jing Li ◽  
Chuanfu Zhang ◽  
Ruiming Yin ◽  
Wenhai Zhang
Keyword(s):  
Activation Energy ◽  
Kinetic Modeling ◽  
Reaction Model ◽  
Energy Model ◽  
Kinetics Analysis ◽  
Distributed Activation Energy Model ◽  
Thermal Debinding ◽  
Low Toxic

This work successfully extends the distributed activation energy model (DAEM) and the three-Gaussian-DAEM-reaction model to thermal debinding kinetics analysis of gelcast SiAlON green parts.

scholarly journals Coal Pyrolysis Distribution

2021 ◽  
Author(s):  
◽  
Sione Paea
Keyword(s):  
Activation Energy ◽  
Frequency Factor ◽  
Activation Energies ◽  
Energy Model ◽  
Smoothing Function ◽  
Coal Pyrolysis ◽  
Distributed Activation Energy Model ◽  
Constant Frequency ◽  
Underlying Distribution ◽  
First Order

<p>Coal pyrolysis is a complex process involving a large number of chemical reactions. The most accurate and up to date approach to modeling coal pyrolysis is to adopt the Distributed Activation Energy Model (DAEM) in which the reactions are assumed to consist of a set of irreversible first-order reactions that have different activation energies and a constant frequency factor. The differences in the activation energies have usually been represented by a Gaussian distribution. This thesis firstly compares the Simple First Order Reaction Model (SFOR) with the Distributed Activation Energy Model (DAEM), to explore why the DAEM may be a more appropriate approach to modeling coal pyrolysis. The second part of the thesis uses the inverse problem approach together with the smoothing function (iterative method) to provide an improved estimate of the underlying distribution in the wide distribution case of the DAEM. The present method significantly minimizes the error due to differencing and smoothes the chopped off parts on the underlying distribution curve.</p>

scholarly journals Coal Pyrolysis Distribution

2021 ◽  
Author(s):  
◽  
Sione Paea
Keyword(s):  
Activation Energy ◽  
Frequency Factor ◽  
Activation Energies ◽  
Energy Model ◽  
Smoothing Function ◽  
Coal Pyrolysis ◽  
Distributed Activation Energy Model ◽  
Constant Frequency ◽  
Underlying Distribution ◽  
First Order

<p>Coal pyrolysis is a complex process involving a large number of chemical reactions. The most accurate and up to date approach to modeling coal pyrolysis is to adopt the Distributed Activation Energy Model (DAEM) in which the reactions are assumed to consist of a set of irreversible first-order reactions that have different activation energies and a constant frequency factor. The differences in the activation energies have usually been represented by a Gaussian distribution. This thesis firstly compares the Simple First Order Reaction Model (SFOR) with the Distributed Activation Energy Model (DAEM), to explore why the DAEM may be a more appropriate approach to modeling coal pyrolysis. The second part of the thesis uses the inverse problem approach together with the smoothing function (iterative method) to provide an improved estimate of the underlying distribution in the wide distribution case of the DAEM. The present method significantly minimizes the error due to differencing and smoothes the chopped off parts on the underlying distribution curve.</p>

scholarly journals Kinetic Modeling of CO2 and H2O Gasification Reactions for Metallurgical Coke Using a Distributed Activation Energy Model

ACS Omega ◽  
2021 ◽  
Vol 6 (17) ◽  
pp. 11436-11446
Author(s):  
Yui Numazawa ◽  
Yuki Hara ◽  
Yoshiya Matsukawa ◽  
Yohsuke Matsushita ◽  
Hideyuki Aoki ◽  
...  
Keyword(s):  
Activation Energy ◽  
Kinetic Modeling ◽  
Energy Model ◽  
Metallurgical Coke ◽  
Distributed Activation Energy Model
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