Utilizing support vector regression modeling to predict pyro product yields from microwave-assisted catalytic co-pyrolysis of biomass and waste plastics

Energy Conversion and Management, Год журнала: 2023, Номер 292, С. 117387 - 117387

Опубликована: Июль 12, 2023

Язык: Английский

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Challenges and opportunities in the production of sustainable hydrogen from lignocellulosic biomass using microwave-assisted pyrolysis: A review

International Journal of Hydrogen Energy, Год журнала: 2023, Номер 52, С. 507 - 531

Опубликована: Июль 1, 2023

Язык: Английский

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Hydrogen production from plastic waste: A comprehensive simulation and machine learning study

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 59, С. 465 - 479

Опубликована: Фев. 8, 2024

Gasification, a highly efficient method, is under extensive investigation due to its potential convert biomass and plastic waste into eco-friendly energy sources valuable fuels. Nevertheless, there exists gap in comprehension regarding the integrated thermochemical process of polystyrene (PS) polypropylene (PP) capability produce hydrogen (H2) fuel. In this study comprehensive simulation using quasi-equilibrium approach based on minimizing Gibbs free has been introduced. To enhance H2 content, water-gas shift (WGS) reactor pressure swing adsorption (PSA) unit were for effective separation, increasing production 27.81 kg/h. investigate operating conditions effects three key variables gasification namely temperature, feedstock flow rate have explored sensitivity analysis. Furthermore, several machine learning models utilized discover optimize maximum capacity production. The analysis reveals that elevating temperature from 500 °C 1200 results higher up 23 % carbon monoxide (CO). However, generating above 900 does not lead significant upturn capacity. Conversely, an increase within shown decrease system both CO. Moreover, mass gasifying agent 250 kg/h be merely productive generation, almost 5 increase. Regarding pressure, yield decreases 22.64 17.4 with 1 10 bar. It also revealed more predominant effect Cold gas efficiency (CGE) compared Highest CGE Has by PP at °C. Among various models, Random Forest (RF) model demonstrates robust performance, achieving R2 values exceeding 0.99.

Язык: Английский

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A review on liquid fuel produced from microwave-assisted pyrolysis of plastic waste

Process Safety and Environmental Protection, Год журнала: 2024, Номер 187, С. 833 - 844

Опубликована: Май 11, 2024

Язык: Английский

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Predictive Modeling of Product Yields in Microwave-Assisted Co-Pyrolysis of Biomass and Plastic with Enhanced Interpretability Using Explainable AI Approaches

Journal of Analytical and Applied Pyrolysis, Год журнала: 2025, Номер unknown, С. 107021 - 107021

Опубликована: Фев. 1, 2025

Язык: Английский

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A Review on the Microwave-Assisted Pyrolysis of Waste Plastics

Processes, Год журнала: 2023, Номер 11(5), С. 1487 - 1487

Опубликована: Май 14, 2023

The exhaustion of fossil energy and the severe pollution induced by using plastics has forced people to embark on road sustainable development. high value recycling become an important part conservation. Microwave treatment, owning specific interactions between electric field molecules treated materials, presents potential advantages in application plastic pyrolysis. Therefore, research status microwave-assisted pyrolysis (MAP) produce high-value-added liquid oil, gas, solid carbon was reviewed this paper. effects properties, microwave treatment parameters, absorbers, co-pyrolysis, catalysts, reactor devices process products were analyzed. It is essential optimize experimental design studying co-pyrolysis technology understanding mechanism improve product selectivity. At same time, continuous MAP device for large-scale still needs be developed. In addition, developing a simulation computing platform screening optimizing processes, commercial production required make more efficient.

Язык: Английский

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Exploring and understanding the microwave-assisted pyrolysis of waste lignocellulose biomass using gradient boosting regression machine learning model

Renewable Energy, Год журнала: 2024, Номер 231, С. 120968 - 120968

Опубликована: Июль 15, 2024

Язык: Английский

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Predictive modeling and multi-parametric optimization of catalytic pyrolysis of disposable face mask using a combinational approach of response surface methodology and machine learning: Insights into the influence of waste-derived catalyst

Journal of Cleaner Production, Год журнала: 2024, Номер 466, С. 142761 - 142761

Опубликована: Июнь 2, 2024

Язык: Английский

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Effect of metal powder and coil on microwave pyrolysis of mixed plastic

Chemical Engineering Journal, Год журнала: 2024, Номер 487, С. 150530 - 150530

Опубликована: Март 18, 2024

Язык: Английский

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Oil recovery from microwave co-pyrolysis of polystyrene and polypropylene plastic particles for pollution mitigation

Environmental Pollution, Год журнала: 2024, Номер 356, С. 124240 - 124240

Опубликована: Май 27, 2024

Язык: Английский

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