Prediction of product distribution of low-medium rank coal pyrolysis using artificial neural networks model

Author:

Lu Rongrong,Li Jing,Zou Xiong,Wang Anran,Dong Hongguang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference88 articles.

1. Quick pyrolysis of a massive coal sample via rapid infrared heating;Xu;Appl. Energy,2019

2. Evaluation on a combined model for low-rank coal pyrolysis;Yi;Energy,2019

3. Coupling effect of Fe-based catalyst on Nitrogen oxides control in the process of nitrogen reduction and combustion denitration of long flame coal pyrolysis;Kong;Energy Sources, Part A Recovery, Util. Environ. Eff.,2022

4. Pyrolysis characteristics of metal ion-exchanged Shendong coal and its char gasification performance;Yao;J. Anal. Appl. Pyrol.,2021

5. Critical analysis of underground coal gasification models, Part І: equilibrium models-literary studies;Żogała;J. Sustain. Min.,2014

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