Microwave-assisted pyrolysis technology for bioenergy recovery: Mechanism, performance, and prospect

Su, Guangcan; Ong, Hwai Chyuan; Cheah, Mei Yee; Chen, Wei‐Hsin; Lam, Su Shiung; Huang, Yuhan

doi:10.1016/j.fuel.2022.124983

Cited by 37 publications

(9 citation statements)

References 109 publications

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“…Co-pyrolysis is a process that involves more than one material as feedstock (Gan et al 2022;Wang et al 2021). During Co-pyrolysis, disparate different sorts of plastic such as Polypropylene (PP), Low-density polyethylene (LDPE), High-density polyethylene (HDPE), Polyvinyl chloride (PVC), Polystyrene (PS), and PET are mixed with sewage sludge, on-edible seeds, agricultural waste, wood waste, and microalgae that improve the quality of pyrolysis product (Kumar Mishra and Mohanty 2020;Miskolczi 2013;Su et al 2022).…”

Section: Chemical Graphitization Of Graphene Oxidementioning

confidence: 99%

Enhancing Face Recognition Performance: A Comprehensive Evaluation of Deep Learning Models and a Novel Ensemble Approach with Hyperparameter Tuning

S.N

et al. 2024

Preprint

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In response to growing security concerns and the increasing demand for face recognition (FR) technology in various sectors, this research explores the application of deep learning techniques, specifically pre-trained Convolutional Neural Network (CNN) models, in the field of FR. The study leverages five pre-trained CNN models, including DenseNet201, ResNet152V2, MobileNetV2, SeResNeXt, and Xception, for feature extraction, followed by SoftMax classification. A novel weighted average ensemble model, optimized through a grid search technique, is introduced to enhance feature extraction and classification performance. Robust data pre-processing, encompassing resizing, data augmentation, splitting, and normalization, is emphasized to ensure reliable FR systems. The research systematically investigates hyperparameters across deep learning models, fine-tuning network depth, learning rate, activation functions, and optimization methods. Comprehensive evaluations are conducted on diverse datasets, including ORL, GTAV, GTF, FEI, LFW, F_LFW, and YTF, to assess the effectiveness of the proposed models. Key contributions of this work include the utilization of pre-trained CNN models for feature extraction, extensive evaluation across multiple datasets, the introduction of a weighted average ensemble model, emphasis on robust data pre-processing, systematic hyperparameter tuning, and the use of comprehensive evaluation metrics. The results showcase the superior performance of the proposed method, consistently outperforming all other models across key metrics, including Recall, Precision, F1 Score, Matthews Correlation Coefficient (MCC), and Accuracy. Receiver Operator Characteristic (ROC) curves further highlight the models' classification abilities. Notably, the proposed method achieves an exceptional accuracy of 99.48% on the LFW dataset, surpassing state-of-the-art benchmarks. In conclusion, this research presents a significant advancement in FR technology, offering a reliable and accurate solution supported by empirical evidence. The proposed method demonstrates the potential of pre-trained CNN models, ensemble learning, robust data pre-processing, and hyperparameter tuning in enhancing the accuracy and reliability of FR systems, with implications for various real-world applications.

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Section: Chemical Graphitization Of Graphene Oxidementioning

confidence: 99%

Enhancing Face Recognition Performance: A Comprehensive Evaluation of Deep Learning Models and a Novel Ensemble Approach with Hyperparameter Tuning

S.N

et al. 2024

Preprint

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“…211 Furthermore, microwave-assisted PVC recycling exhibits scalability and flexibility, allowing it to be adapted to various waste streams and quantities of PVC waste. 212 While microwave heating offers numerous benefits, it also presents several limitations. 213 For instance, one issue is the emission of volatile degradation compounds, which can be problematic.…”

Section: Microwave-assisted Pvc Recyclingmentioning

confidence: 99%

“…Another significant advantage is the enhanced safety and reduced environmental impact associated with this method 211 . Furthermore, microwave‐assisted PVC recycling exhibits scalability and flexibility, allowing it to be adapted to various waste streams and quantities of PVC waste 212 …”

Section: Innovative Pvc Recycling Technologiesmentioning

confidence: 99%

Recent advances in polyvinyl chloride (PVC) recycling

Ait‐Touchente,

Khellaf,

Raffin

et al. 2023

Polymers for Advanced Techs

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Polyvinyl chloride (PVC) recycling is crucial for mitigating the environmental impact of PVC wastes, which take decades to decompose in landfills. This review examines the current state of PVC recycling processes, focusing on challenges and future research opportunities. It explores the types and sources of PVC wastes, including post‐consumer, industrial, and construction wastes. Conventional recycling methods such as mechanical, thermal, and chemical recycling are discussed, highlighting their advantages, limitations, and successful applications. Furthermore, recent advances in PVC recycling, including biological, plasma‐assisted, and solvent‐based recycling, are explored, considering their potential benefits and challenges. The review emphasizes the European context of PVC recycling, as the region has implemented regulatory initiatives and collaborations. It points out the Circular Economy Action Plan and directives targeting PVC waste management, which have promoted recycling and established a supportive framework. Challenges of current PVC recycling methods and technologies, such as low yield and high energy consumption, are identified. The review calls for the development of efficient and cost‐effective recycling technologies, along with improvements in recycling infrastructure and consumer awareness. Assessing the environmental and economic impacts, PVC recycling significantly reduces greenhouse gas emissions and conserves resources compared to virgin PVC production. The economic benefits include job creation and reduced raw material costs.

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“…These conventional techniques are applied for commercial-scale production, yet there is room for improvement in the productivity. The idea of incorporating microwave with these established techniques is to enhance the efficiency of process in terms of energy and time, whereby benefits such as convenient implementation without agitation, even internal heating of big biomass particles, volumetric scale heating and short processing time [62].…”

Section: Bio-oil Productionmentioning

confidence: 99%

Microwave-Absorbing Catalysts in Catalytic Reactions of Biofuel Production

et al. 2022

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Catalytic reactions in producing biofuels often face issues such as low product yield, low selectivity to preferred products and serious environmental issues which leads to the exploration of green technologies. Microwave technology is one of the green technologies that is widely applied in the field such as medical, food, signal processing or navigation, and has been reviewed for its potential in the catalytic reactions for biofuel production. With the application of microwave technology, its unique heating mechanism consists of magnetic field energy and electric field energy that enables the selective heating of materials, allowing rapid reaction and enhancement of catalytic performance of catalysts. In general, this review has discussed on the fundamentals and mechanisms of microwave technology with an in-depth discussion on the application of microwave-absorbing catalysts for biofuel production, especially in ammonia synthesis, bio-oil and 5-HMF production as well as methanation. Lastly, the challenges and future prospect of microwave-absorbing catalysts are included as well.

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Microwave-assisted pyrolysis technology for bioenergy recovery: Mechanism, performance, and prospect

Cited by 37 publications

References 109 publications

Enhancing Face Recognition Performance: A Comprehensive Evaluation of Deep Learning Models and a Novel Ensemble Approach with Hyperparameter Tuning

Enhancing Face Recognition Performance: A Comprehensive Evaluation of Deep Learning Models and a Novel Ensemble Approach with Hyperparameter Tuning

Recent advances in polyvinyl chloride (PVC) recycling

Microwave-Absorbing Catalysts in Catalytic Reactions of Biofuel Production

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