Analysis of variance and multi-objective optimization of efficiencies and emission in air/steam rigid and flexible polyurethane foam wastes gasification

Hasanzadeh, Rezgar; Mojaver, Parisa; Chitsaz, Ata; Mojaver, Mehran; Rosen, Marc A.

doi:10.1016/j.cep.2022.108961

Cited by 14 publications

(2 citation statements)

References 81 publications

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“…Initially, the solid fuel is fed into the gasifier, where it is heated to a high temperature. At this temperature, the fuel undergoes thermal decomposition, releasing volatile gases and tars [46]. These gases and tars then react with the steam, resulting in the formation of syngas.…”

Section: Gasification Of Pvc Wastementioning

confidence: 99%

A Regression Analysis on Steam Gasification of Polyvinyl Chloride Waste for an Efficient and Environmentally Sustainable Process

Hasanzadeh

Abdalrahman

2023

Polymers

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Over the last few years, researchers have shown a growing interest in polyvinyl chloride (PVC) gasification and have conducted several studies to evaluate and enhance the process. These studies have recognized that processing parameters have a crucial impact on the assessment of PVC gasification. Despite this, there has been limited exploration of the use of machine learning techniques, particularly regression models, to optimize PVC waste gasification. This study aims to investigate the effectiveness of regression models as machine learning algorithms in predicting the performance of PVC waste gasification. The study uses data collected through a validated thermodynamic model, and three different regression models are tested and compared in detail. Cold gas efficiency and normalized carbon dioxide emission are predicted using linear, quadratic, and quadratic with interaction algorithms. The outcomes for emission algorithms reveal that the linear emission algorithm possesses a high R-square value of 97.49%, which indicates its strong predictive capability. Nevertheless, the quadratic algorithm outperforms it, exhibiting an R-square value of 99.81%. The quadratic algorithm with an interaction term, however, proves to be the best among them all, displaying a perfect R-square value of 99.90%. A similar observation is detected for the cold gas efficiency algorithms. These findings suggest that the quadratic algorithm with an interaction term is superior and has a greater predictive accuracy. This research is expected to provide valuable insight into how regression algorithms can be used to maximize the efficiency of PVC waste gasification and reduce its associated environmental concerns.

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Section: Gasification Of Pvc Wastementioning

confidence: 99%

A Regression Analysis on Steam Gasification of Polyvinyl Chloride Waste for an Efficient and Environmentally Sustainable Process

Hasanzadeh

Abdalrahman

2023

Polymers

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“…Gasification technology is one of the rapidly developing methods for treating plastic waste, and it involves the recovery of chemical raw materials and energy. − Generally speaking, gasification is a process of converting low-grade waste into high-calorific value syngas, with primary products including carbon monoxide, hydrogen, methane, and carbon dioxide. − Syngas yield, component, and energy recovery depend on several factors, such as raw material type, gasification temperature, gasification agent, loading rate, equivalence ratio, and so on. − According to certain studies, increasing the temperature can facilitate thermochemical conversion, leading to a higher yield of syngas and greater energy recovery. − …”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation on Air Gasification of Polypropylene Particles in a Microwave Fluidized Bed Reactor

Cui,

Shi,

Zhang

et al. 2023

Ind. Eng. Chem. Res.

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The processing of polypropylene (PP) waste has become a technological issue that has attracted the attention of researchers. The effects of the gasification temperature, equivalence ratio (ER), and microwave power on syngas yields of PP air gasification were studied. When the gasification temperature rose from 700 to 900 °C, the syngas increased from 56.3 to 85.6 wt %, while the liquid oil and wax decreased. With an increase in ER from 0.05 to 0.25, there was a corresponding increase in syngas yield from 78.2 to 87.2 wt %, whereas the oil yield decreased from 10.0 to 3.2 wt %, and the wax increased from 11.8 to 13.9 wt % and then decreased to 9.6 wt %. When the microwave power rose from 600 to 1000 W, the syngas yield increased from 78.2 to 84.0 wt % first and then decreased to 68.9 wt %, whereas the oil yield decreased from 10.3 to 3.1 wt %, and the wax increased from 11.7 to 28.1 wt %. The optimal syngas yield of 87.2 wt % was obtained when the pyrolysis temperature was 900 °C, ER was 0.15, and microwave power was 800 W. The higher heating value of the syngas produced was 19.3 MJ/Nm3, while the gasification of PP achieved a maximum cold gas efficiency of 79.1%.

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Evaluation of Air Polyurethane Foam Waste Gasification

Hasanzadeh

Azdast

Park

2023

Engineering Materials

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Analysis of variance and multi-objective optimization of efficiencies and emission in air/steam rigid and flexible polyurethane foam wastes gasification

Cited by 14 publications

References 81 publications

A Regression Analysis on Steam Gasification of Polyvinyl Chloride Waste for an Efficient and Environmentally Sustainable Process

A Regression Analysis on Steam Gasification of Polyvinyl Chloride Waste for an Efficient and Environmentally Sustainable Process

Experimental Investigation on Air Gasification of Polypropylene Particles in a Microwave Fluidized Bed Reactor

Evaluation of Air Polyurethane Foam Waste Gasification

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