Artificial intelligence in plastic recycling and conversion: A review DOI
Yi Fang,

Yuming Wen,

Leilei Dai

et al.

Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 215, P. 108090 - 108090

Published: Dec. 18, 2024

Language: Английский

A comprehensive review on biomass energy system optimization approaches: Challenges and issues DOI
Masoud Ahmadipour, Hussein Mohammed Ridha,

Zaipatimah Ali

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 106, P. 1167 - 1183

Published: Feb. 8, 2025

Language: Английский

Citations

2

Understanding the Synergistic Mechanisms of Co-pyrolysis of Straw and Polyethylene for High-quality Pyrolysis oil DOI

Zhen He,

Quanwei Lv,

Xia Jiang

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122923 - 122923

Published: March 1, 2025

Language: Английский

Citations

1

Benefits from co-pyrolysis of biomass and refuse derived fuel for biofuels production: Experimental investigations DOI Creative Commons
Aneta Magdziarz, Wojciech Jerzak, Mariusz Wądrzyk

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 230, P. 120808 - 120808

Published: June 13, 2024

The application of renewable fuels and waste for energy production is crucial environmentally economically. Co-pyrolysis biomass refuse derived fuel (RDF) offers a promising pathway valuable products that combine various benefits including enhanced recovery, valorisation, improved product quality, environmental sustainability. Consideration specific feedstocks optimization process parameters are necessary to maximise the efficiency effectiveness co-pyrolysis process. This work presents investigations lignocellulosic wastes (rye straw agriculture grass) RDF. These biomasses ensure efficient decomposition. RDF, high in carbon (78.5 %) hydrogen (11.8 %), was predominantly plastic based. Based on Py-GC-MS studies at 600 °C, it observed addition RDF caused significant decrease share organic oxygen compounds among released decomposition products. Laboratory tests were performed fixed-bed reactor raw 1:1 3:1 mass ratio. results demonstrated yield char decreased with which promoted bio-oil yield. Despite, pyrolysis meets problems, proved good solution their utilization.

Language: Английский

Citations

7

Revealing the synergistic effect of feedstock compositions and process parameters in co-pyrolysis: A review based on bibliometric analysis and experimental studies DOI
Yousaf Ayub, Jingzheng Ren

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 459, P. 142540 - 142540

Published: May 11, 2024

Language: Английский

Citations

6

Co-pyrolysis behavior of municipal solid waste and food waste residue: A thermogravimetric study to discern synergistic effect DOI

Tedla Medhane Embaye,

Muhammed Bilal Ahmed,

Nan Deng

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 189, P. 1274 - 1284

Published: July 1, 2024

Language: Английский

Citations

5

Optimizing pyrolysis and Co-Pyrolysis of plastic and biomass using Artificial Intelligence DOI Creative Commons
Manish Sharma Timilsina, Yuvraj Chaudhary,

Prikshya Bhattarai

et al.

Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: 24, P. 100783 - 100783

Published: Oct. 1, 2024

Language: Английский

Citations

5

Enhancing plastic pyrolysis for carbon nanotubes synthesis through machine learning integration: A review DOI

K. Loke,

Xuan Han Lim,

M.A. Osman

et al.

Journal of Analytical and Applied Pyrolysis, Journal Year: 2025, Volume and Issue: unknown, P. 106989 - 106989

Published: Jan. 1, 2025

Language: Английский

Citations

0

A novel waste-to-energy conversion plant based on catalytic pyrolytic conditions: Modeling and Optimization Using Supervised Machine Learning and Desirability-Driven Methodologies DOI
Aqueel Ahmad, Ashok Kumar Yadav,

Shifa Hasan

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134648 - 134648

Published: Jan. 1, 2025

Language: Английский

Citations

0

Smart Intelligence in Residential Solid Plastic Management Profiling: Machine Learning Approaches DOI

Abdul Gaffar Sheik

Published: Jan. 1, 2025

Language: Английский

Citations

0

Machine learning-assisted prediction of gas production during co-pyrolysis of biomass and waste plastics DOI

Quan Bu,

Jianmei Bai,

Bo Wang

et al.

Waste Management, Journal Year: 2025, Volume and Issue: 200, P. 114748 - 114748

Published: March 18, 2025

Language: Английский

Citations

0