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

и другие.

Renewable Energy, Год журнала: 2024, Номер unknown, С. 122305 - 122305

Опубликована: Дек. 1, 2024

Язык: 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

и другие.

Renewable Energy, Год журнала: 2024, Номер 233, С. 121142 - 121142

Опубликована: Авг. 8, 2024

Язык: Английский

Процитировано

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

и другие.

Process Safety and Environmental Protection, Год журнала: 2024, Номер 189, С. 517 - 529

Опубликована: Июнь 27, 2024

Язык: Английский

Процитировано

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

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер unknown, С. 105342 - 105342

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

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

и другие.

Materials Today Sustainability, Год журнала: 2025, Номер unknown, С. 101074 - 101074

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

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

и другие.

BioResources, Год журнала: 2024, Номер 19(4), С. 7513 - 7529

Опубликована: Авг. 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%

Язык: Английский

Процитировано

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

и другие.

Renewable Energy, Год журнала: 2024, Номер unknown, С. 122305 - 122305

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0