Artificial Neural Network-Based Models for the Prediction of Biomass Pyrolysis Products from Preliminary Analysis-Reference-Cited by-同舟云学术

Artificial Neural Network-Based Models for the Prediction of Biomass Pyrolysis Products from Preliminary Analysis

Published:2023-08-30 Issue:36 Volume:62 Page:14311-14319
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Balsora Hemant Kumar¹²,S Kartik¹³,Joshi Jyeshtharaj Bhalchandra⁴⁵^ORCID,Sharma Abhishek¹⁶,Chakinala Anand Gupta¹^ORCID

Affiliation:

1. Department of Biotechnology and Chemical Engineering, Manipal University Jaipur, Dehmi Kalan, Jaipur, Rajasthan 303007, India

2. Department of Chemical Engineering, Shroff S.R. Rotary Institute of Chemical Technology, UPL University of Sustainable Technology, Ankleshwar, Gujarat 393001, India

3. Department of Environmental Science and Technology, Shroff S.R. Rotary Institute of Chemical Technology, UPL University of Sustainable Technology, Ankleshwar, Gujarat 393001, India,

4. Department of Chemical Engineering, Institute of Chemical Technology, Mumbai, Maharashtra 400019, India

5. Marathi Vidnyan Parishad, Vidnyan Bhavan, V.N. Purav Marg, Sion- chunabhatti (E), Mumbai, Maharashtra 400022, India

6. Chemical & Environmental Engineering, School of Engineering, RMIT University, Melbourne, Victoria 3000, Australia

Funder

Department of Science and Technology, Ministry of Science and Technology, India

Bharuch Enviro Infrastructure Limited, Ankleshwar

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c01662

Reference35 articles.

1. Kinetic modelling for thermal decomposition of agricultural residues at different heating rates

2. Modeling of thermochemical conversion of waste biomass – a comprehensive review

3. Impact of feedstock composition on pyrolysis of low-cost, protein- and lignin-rich biomass: A review

4. Thermal decomposition, kinetics and combustion parameters determination for two different sizes of rice husk using TGA

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