Algal-derived biochar as an efficient adsorbent for removal of Cr (VI) in textile industry wastewater: Non-linear isotherm, kinetics and ANN studies

Chemosphere, Journal Year: 2023, Volume and Issue: 316, P. 137826 - 137826

Published: Jan. 11, 2023

Language: Английский

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Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning

Biochar, Journal Year: 2023, Volume and Issue: 5(1)

Published: April 23, 2023

Abstract Due to large specific surface area, abundant functional groups and low cost, biochar is widely used for pollutant removal. The adsorption performance of related synthesis parameters. But the influence factor numerous, traditional experimental enumeration powerless. In recent years, machine learning has been gradually employed biochar, but there no comprehensive review on whole process regulation adsorbents, covering optimization modeling. This article systematically summarized application in adsorbents from perspective all-round first time, including modeling adsorbents. Firstly, overview was introduced. Then, latest advances removal were summarized, prediction yield physicochemical properties, optimal synthetic conditions economic cost. And by reviewed, efficiency, revelation mechanism. General guidelines whole-process presented. Finally, existing problems future perspectives put forward. We hope that this can promote integration thus light up industrialization biochar. Graphical

Language: Английский

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Conversion of organic solid waste into energy and functional materials using biochar catalyst: Bibliometric analysis, research progress, and directions

Applied Catalysis B Environment and Energy, Journal Year: 2023, Volume and Issue: 340, P. 123223 - 123223

Published: Sept. 1, 2023

Language: Английский

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Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

Biofuels Bioproducts and Biorefining, Journal Year: 2024, Volume and Issue: 18(2), P. 567 - 593

Published: Feb. 5, 2024

Abstract Biochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand sustainable energy. Efficient management systems are needed in order exploit fully of biochar. Modern machine learning (ML) techniques, and particular ensemble approaches explainable AI methods, valuable forecasting properties efficiency biochar properly. Machine‐learning‐based forecasts, optimization, feature selection critical improving techniques. In this research, we explore influences these techniques on accurate yield range sources. We emphasize importance interpretability model, improves human comprehension trust ML predictions. Sensitivity analysis shown be an effective technique finding crucial characteristics that influence synthesis Precision prognostics have far‐reaching ramifications, influencing industries such logistics, technologies, successful use renewable These advances can make substantial contribution greener future encourage development circular biobased economy. This work emphasizes using sophisticated data‐driven methodologies synthesis, usher ecologically friendly energy solutions. breakthroughs hold key more environmentally future.

Language: Английский

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Predicting municipal solid waste gasification using machine learning: A step toward sustainable regional planning

Energy, Journal Year: 2023, Volume and Issue: 278, P. 127881 - 127881

Published: May 27, 2023

Language: Английский

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Prediction of hydrogen yield from supercritical gasification process of sewage sludge using machine learning and particle swarm hybrid strategy

International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 54, P. 512 - 525

Published: Jan. 25, 2023

Language: Английский

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Biochar production and its environmental applications: Recent developments and machine learning insights

Bioresource Technology, Journal Year: 2023, Volume and Issue: 387, P. 129634 - 129634

Published: Aug. 21, 2023

Language: Английский

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Machine learning in clarifying complex relationships: Biochar preparation procedures and capacitance characteristics

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 485, P. 149975 - 149975

Published: Feb. 24, 2024

Language: Английский

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A machine learning assisted prediction of potential biochar and its applications in anaerobic digestion for valuable chemicals and energy recovery from organic waste

Carbon Neutrality, Journal Year: 2024, Volume and Issue: 3(1)

Published: Jan. 8, 2024

Abstract The utilization of biochar derived from biomass residue to enhance anaerobic digestion (AD) for bioenergy recovery offers a sustainable approach advance energy and mitigate climate change. However, conducting comprehensive research on the optimal conditions AD experiments with addition poses challenge due diverse experimental objectives. Machine learning (ML) has demonstrated its effectiveness in addressing this issue. Therefore, it is essential provide an overview current ML-optimized processes biochar-enhanced order facilitate more systematic ML tools. This review comprehensively examines material flow preparation impact comprehension reviewed optimize production process perspective. Specifically, summarizes application techniques, based artificial intelligence, predicting yield properties residues, as well their AD. Overall, analysis address challenges recovery. In future research, crucial tackle that hinder implementation pilot-scale reactors. It recommended further investigate correlation between physicochemical process. Additionally, enhancing role throughout entire holds promise achieving economically environmentally optimized efficiency. Graphical

Language: Английский

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Advancements in Biochar Modification for Enhanced Phosphorus Utilization in Agriculture

Land, Journal Year: 2024, Volume and Issue: 13(5), P. 644 - 644

Published: May 9, 2024

The role of modified biochar in enhancing phosphorus (P) availability is gaining attention as an environmentally friendly approach to address soil P deficiency, a global agricultural challenge. Traditional phosphatic fertilizers, while essential for crop yield, are costly and detrimental owing fixation leaching. Modified presents promising alternative with improved properties such increased porosity, surface area, cation exchange capacity. This review delves into the variability based on source production methods how these can be optimized effective adsorption. By adjusting pH levels functional groups align phosphate’s zero point charge, we enhance biochar’s ability adsorb retain P, thereby increasing its bioavailability plants. integration nanotechnology advanced characterization techniques aids understanding structural nuances interactions phosphorus. offers multiple benefits: it enables farmers use more efficiently, reducing need traditional fertilizers minimizing environmental impacts, greenhouse gas emissions also identifies existing research gaps future opportunities further modifications. These findings emphasize significant potential sustainable agriculture.

Language: Английский

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