Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning

Environmental Science & Technology, Journal Year: 2022, Volume and Issue: 56(7), P. 4187 - 4198

Published: March 15, 2022

Biochar application is a promising strategy for the remediation of contaminated soil, while ensuring sustainable waste management. heavy metal (HM)-contaminated soil primarily depends on properties biochar, and HM. The optimum conditions HM immobilization in biochar-amended soils are site-specific vary among studies. Therefore, generalized approach to predict efficiency required. This study employs machine learning (ML) approaches biochar soils. nitrogen content (0.3–25.9%) rate (0.5–10%) were two most significant features affecting immobilization. Causal analysis showed that empirical categories efficiency, order importance, > experimental properties. this presents new insights into effects can help determine enhanced

Language: Английский

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Recent progress in the catalytic thermochemical conversion process of biomass for biofuels

Chemical Engineering Journal, Journal Year: 2022, Volume and Issue: 447, P. 137501 - 137501

Published: June 13, 2022

Language: Английский

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Co-hydrothermal carbonization of organic solid wastes to hydrochar as potential fuel: A review

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 850, P. 158034 - 158034

Published: Aug. 12, 2022

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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Understanding and optimizing the gasification of biomass waste with machine learning

Green Chemical Engineering, Journal Year: 2022, Volume and Issue: 4(1), P. 123 - 133

Published: May 27, 2022

Gasification is a sustainable approach for biomass waste treatment with simultaneous combustible H2-syngas production. However, this thermochemical process was quite complicated multi-phase products generated. The product distribution and composition also highly depend on the feedstock information gasification condition. At present, it still challenging to fully understand optimize process. In context, four data-driven machine learning (ML) methods were applied model prediction interpretation optimization. results indicated that Gradient Boosting Regression (GBR) showed good performance predicting three-phase syngas compositions test R2 of 0.82–0.96. GBR model-based suggested both feed condition (including contents ash, carbon, nitrogen, oxygen, temperature) important factors influencing char, tar, syngas. Furthermore, found higher carbon (> 48%), lower nitrogen (< 0.5%), ash (1%–5%) under temperature over 800 °C could achieve yield H2-rich It shown optimal conditions by an output containing 60%–62% H2 44.34 mol/kg. These valuable insights provided from aid understanding optimization guide production

Language: Английский

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A comprehensive review of coconut-based porous materials for wastewater treatment and CO2 capture

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 338, P. 117825 - 117825

Published: April 7, 2023

Language: Английский

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Parametric influence of process conditions on thermochemical techniques for biochar production: A state-of-the-art review

Journal of the Energy Institute, Journal Year: 2024, Volume and Issue: 113, P. 101559 - 101559

Published: Feb. 7, 2024

Biochar refers to the carbonaceous black solid residue product obtained from thermochemical decomposition of waste biomass typically under oxygen-limited environment. There are many methods for biochar production streams, prominent pyrolysis, torrefaction, and hydrothermal carbonization. However, yield properties depend mainly on process parameters, such as temperature, residence time, heating rate, gas environment, feedstock types, among others. This review provides current state-of-art in by assessing parametric influence conditions yields, properties, compositions across carbonization their variants. Furthermore, compares contrasts different techniques with respect mass energy at similar conditions. It was found that irrespective techniques, operating typically, 150–300 °C hydrothermal, 200–300 300–600 remain most influential parameter compositions. While char yields comparable various conversion they had strong effect properties. Woody crop residues dominant feedstocks studied due attractive bioenergy (volatile matter >80% ash content <15%). Lastly, slow pyrolysis is optimized technique a typical 25–50 wt%, carbon 30–70 wt% calorific value 10–30 MJ/kg 450 lignocellulosic biomass. Other critical findings have been summarised, perspectives future research were provided. Overall, assessment can serve directive tool selecting an ideal technology high quality production.

Language: Английский

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Biosolids management and utilizations: A review

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 451, P. 141974 - 141974

Published: March 26, 2024

Language: Английский

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Sludge-based biochar preparation: pyrolysis and co-pyrolysis methods, improvements, and environmental applications

Fuel, Journal Year: 2024, Volume and Issue: 373, P. 132265 - 132265

Published: June 28, 2024

The pyrolysis of sewage sludge to produce biochar is a promising method for end-treatment. Key parameters influencing properties include temperature, heat transfer rate, residence time, additives, and raw material types. Sludge-based (SBC) features porous structure, aromatic compound composition, high absorbency, stable chemical properties, large specific surface area, numerous functional groups, making it suitable environmental applications such as soil remediation water quality improvement. However, SBC alone can pose risk due excessive heavy metal content. Co-pyrolysis biomass with has been shown mitigate this by fixing metals reducing their accumulation in biochar. Research indicates that co-pyrolysis produces superior including larger better pore more greater pollutant adsorption capacity compared alone. Thus, sludge-biomass significant potential overcome the limitations single sludge-based biochar, facilitating large-scale production application management.

Language: Английский

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Synergizing food waste management and microalgae biorefinery for bioenergy production: recent advance on direct and indirect conversion pathway

Process Biochemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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