Co-Catalytic Pyrolysis of Industrial Hemp Stem with Rubber Seed Oil Under Calcined Copper Slag Based on Kinetic and Thermodynamic DOI
Jinlong Du, Jianhang Hu, Shiliang Yang

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 122305 - 122305

Published: Dec. 1, 2024

Language: Английский

Kinetic, thermodynamic and artificial neural network prediction studies on co-pyrolysis of the agricultural waste and algae DOI
Qian Wang,

Rui Wang,

Zixuan Li

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 233, P. 121142 - 121142

Published: Aug. 8, 2024

Language: Английский

Citations

9
Biopolymeric degradation of jute sticks under pyrolytic thermal stresses DOI
Manisha Jagadale, Sandip Gangil, Mahesh Jadhav

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 189, P. 517 - 529

Published: June 27, 2024

Language: Английский

Citations

5
Probing pyrolysis conversion of separator from spent lithium-ion batteries: Thermal behavior, kinetics, evolved gas analysis and Aspen Plus modeling DOI Creative Commons
Zhitong Yao, Pietro Romano, W.C. Fan

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 105342 - 105342

Published: Oct. 1, 2024

Language: Английский

Citations

5
Unlocking the potential of tree bark: Review of approaches from extractives to materials for higher-added value products DOI Creative Commons
Didik Supriyadi, Damayanti Damayanti, Stefan Veigel

et al.

Materials Today Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 101074 - 101074

Published: Jan. 1, 2025

Language: Английский

Citations

0
Coupling kinetic modeling with artificial neural networks to predict the kinetic parameters of pine needle pyrolysis DOI Creative Commons

Langui Xu,

Zhang Li, Xijing He

et al.

BioResources, Journal Year: 2024, Volume and Issue: 19(4), P. 7513 - 7529

Published: Aug. 26, 2024

The pyrolysis behavior of biomass is critical for industrial process design, yet the complexity models makes this task challenging. This paper introduces an innovative hybrid model to quantify potential pine needles, predicting entire their behavior. Through experimental analyses and kinetic parameter calculations needle pyrolysis, study employs a with chemical reaction mechanism. Additionally, it improved dung beetle optimization algorithm accurately capture primary trends in pyrolysis. developed artificial neural network incorporates meta-heuristic algorithms address error factors. Validation based on data from TG at three different heating rates. results demonstrate that exhibits strong predictive performance compared standalone model, coefficients determination (R²) 0.9999 0.999 conversion degree rate untrained data, respectively. standard errors prediction (SEP) are 0.249% 0.449%

Language: Английский

Citations

2
Co-Catalytic Pyrolysis of Industrial Hemp Stem with Rubber Seed Oil Under Calcined Copper Slag Based on Kinetic and Thermodynamic DOI
Jinlong Du, Jianhang Hu, Shiliang Yang

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 122305 - 122305

Published: Dec. 1, 2024

Language: Английский

Citations

0