Cited by Microwave-assisted catalytic hydrothermal carbonization of Laminaria japonica for hydrochars catalyzed and activated by potassium compounds

CO2 capture by adsorption on biomass-derived activated char: A review DOI

Chirag Goel, Sooraj Mohan,

P. Dinesha

et al.

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 798, P. 149296 - 149296

Published: July 26, 2021

Language: Английский

Citations

145

Co-culture of fungi-microalgae consortium for wastewater treatment: A review DOI

Lijian Leng, Wenting Li, Jie Chen

et al.

Bioresource Technology, Journal Year: 2021, Volume and Issue: 330, P. 125008 - 125008

Published: March 18, 2021

Language: Английский

Citations

134

Machine learning aided bio-oil production with high energy recovery and low nitrogen content from hydrothermal liquefaction of biomass with experiment verification DOI

Jie Li, Weijin Zhang,

Tonggui Liu

et al.

Chemical Engineering Journal, Journal Year: 2021, Volume and Issue: 425, P. 130649 - 130649

Published: June 5, 2021

Language: Английский

Citations

134

Machine learning prediction and optimization of bio-oil production from hydrothermal liquefaction of algae DOI

Weijin Zhang, Jie Li,

Tonggui Liu

et al.

Bioresource Technology, Journal Year: 2021, Volume and Issue: 342, P. 126011 - 126011

Published: Sept. 22, 2021

Language: Английский

Citations

129

Straw and wood based biochar for CO2 capture: Adsorption performance and governing mechanisms DOI

Lingyu Cao,

Xueyang Zhang,

Yue Xu

et al.

Separation and Purification Technology, Journal Year: 2022, Volume and Issue: 287, P. 120592 - 120592

Published: Jan. 30, 2022

Language: Английский

Citations

124

Hydrothermal carbonization of glucose: Secondary char properties, reaction pathways, and kinetics DOI

Giulia Ischia,

M. Cutillo,

Graziano Guella

et al.

Chemical Engineering Journal, Journal Year: 2022, Volume and Issue: 449, P. 137827 - 137827

Published: June 28, 2022

Language: Английский

Citations

119

An overview of sulfur-functional groups in biochar from pyrolysis of biomass DOI

Lijian Leng, Renfeng Liu, Siyu Xu

et al.

Journal of environmental chemical engineering, Journal Year: 2022, Volume and Issue: 10(2), P. 107185 - 107185

Published: Jan. 12, 2022

Language: Английский

Citations

114

A review of biomass pyrolysis gas: Forming mechanisms, influencing parameters, and product application upgrades DOI

Yongnan Zhang,

Yunyi Liang,

Suiyi Li

et al.

Fuel, Journal Year: 2023, Volume and Issue: 347, P. 128461 - 128461

Published: April 27, 2023

Language: Английский

Citations

100

Machine-learning-aided thermochemical treatment of biomass: a review DOI

Hailong Li,

Jiefeng Chen,

Weijin Zhang

et al.

Biofuel Research Journal, Journal Year: 2023, Volume and Issue: 10(1), P. 1786 - 1809

Published: Feb. 28, 2023

Thermochemical treatment is a promising technique for biomass disposal and valorization. Recently, machine learning (ML) has been extensively used to predict yields, compositions, properties of biochar, bio-oil, syngas, aqueous phases produced by the thermochemical biomass. ML demonstrates great potential aid development processes. The present review aims 1) introduce schemes strategies as well descriptors input output features in processes; 2) summarize compare up-to-date research both ML-aided wet (hydrothermal carbonization/liquefaction/gasification) dry (torrefaction/pyrolysis/gasification) (i.e., predicting oil/char/gas/aqueous thermal conversion behavior or kinetics); 3) identify gaps provide guidance future studies concerning how improve predictive performance, increase generalizability, mechanistic application studies, effectively share data models community. processes envisaged be greatly accelerated near future.

Language: Английский

Citations

Machine learning for hydrothermal treatment of biomass: A review DOI

Weijin Zhang, Qingyue Chen,

Jiefeng Chen

et al.

Bioresource Technology, Journal Year: 2022, Volume and Issue: 370, P. 128547 - 128547

Published: Dec. 28, 2022

Language: Английский

Citations