An overview on engineering the surface area and porosity of biochar

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 763, P. 144204 - 144204

Published: Dec. 25, 2020

Language: Английский

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Effect of biomass type and pyrolysis temperature on nitrogen in biochar, and the comparison with hydrochar

Fuel, Journal Year: 2021, Volume and Issue: 291, P. 120128 - 120128

Published: Jan. 19, 2021

Language: Английский

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A review on nitrogen transformation in hydrochar during hydrothermal carbonization of biomass containing nitrogen

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 756, P. 143679 - 143679

Published: Dec. 1, 2020

Language: Английский

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

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

Published: March 18, 2021

Language: Английский

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

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

Published: June 5, 2021

Language: Английский

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

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

Published: Sept. 22, 2021

Language: Английский

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Wet organic waste treatment via hydrothermal processing: A critical review

Chemosphere, Journal Year: 2021, Volume and Issue: 279, P. 130557 - 130557

Published: April 13, 2021

Language: Английский

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Hydrothermal carbonization of food waste for sustainable biofuel production: Advancements, challenges, and future prospects

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 897, P. 165327 - 165327

Published: July 6, 2023

Language: Английский

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

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

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Machine learning for hydrothermal treatment of biomass: A review

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

Published: Dec. 28, 2022

Language: Английский

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