Response Surface Methodology Analysis of Pyrolysis Reaction Rate Constants for Predicting Efficient Conversion of Bulk Plastic Waste into Oil and Gaseous Fuels

Irfan, Muhammad; Nabi, Rao Adeel Un; Hussain, Hammad; Naz, Muhammad Yasin; Shukrullah, Shazia; Khawaja, Hassan Abbas; Rahman, Saifur; Ghanim, Abdulnour Ali Jazem; Kruszelnicka, Izabela; Ginter-Kramarczyk, Dobrochna; Legutko, Stanisław

doi:10.3390/en15249594

Cited by 5 publications

(3 citation statements)

References 41 publications

(51 reference statements)

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“…Numerical models typically consist of input data, decision variables and output data (Figure 4) [34][35][36][37]. Input data introduce constant values into the model for a single experiment, while decision variables are variables controlled by the researcher.…”

Section: The Essence Of Computer Simulationsmentioning

confidence: 99%

Methods and Validation Techniques of Chemical Kinetics Models in Waste Thermal Conversion Processes

Skrzyniarz,

Sajdak,

Biniek-Poskart

et al. 2024

Energies

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This article discusses the potential of using computer-simulation methods in processes such as thermal waste conversion, i.e., pyrolysis, gasification, combustion and torrefaction. These methods are gaining in importance, among others, due to the difficulties in execution and high costs associated with conducting experimental research in real conditions or the need to obtain detailed data on the phenomenon under study in a relatively short time. Computer simulation also allows for numerous errors to be avoided, such as those that may occur during optimization activities, the effects of which may have serious consequences, both economic and environmental. In addition to their many advantages, the limitations and disadvantages of using computer-simulation methods were also indicated, mainly related to the interpretation and validation of the results obtained using modelling. Owing to the complexity of the phenomena occurring during thermal conversion, special attention was focused on models based on chemical kinetics, thanks to which it is possible to predict the quantitative and qualitative composition of products in these processes. The aim of this research is to identify the research gap in the field of issues related to models of chemical kinetics of thermal waste conversion processes.

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Section: The Essence Of Computer Simulationsmentioning

confidence: 99%

Methods and Validation Techniques of Chemical Kinetics Models in Waste Thermal Conversion Processes

Skrzyniarz,

Sajdak,

Biniek-Poskart

et al. 2024

Energies

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“…After 180 min, the light and heavy waxes are converted to oil. [ 27 ] After 180 min of processing, gas production dropped from 13% to 9% and oil yield improved from 86% to 90%. Figure 3 also indicates that at a fixed temperature, the gas yield declines and the oil yield rise over time.…”

Section: Analysis Of Species Using Predicted Rate Constantsmentioning

confidence: 99%

Numerical sensitivity analysis of temperature‐dependent reaction rate constants for optimized thermal conversion of high‐density plastic waste into combustible fuels

et al. 2023

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The use of experimental rate constants for producing a high yield of liquid fuels from the pyrolysis of plastic waste is not widely accepted owing to a lack of compatibility between the different kinetic rate constants responsible for successful conversion reactions. In R software, the Arrhenius law can forecast the ideal combination of reaction rate constants and frequency factors and then perform sensitivity analysis on individual rate constants to estimate the selectivity and quantity of primary pyrolysis products. Sensitivity analysis is a way of determining the effectiveness of individual rate constants in the reaction. This research element is currently lacking in the literature for the cost‐effective valorization of plastics into combustible fuels. We are the first to use R software to perform sensitivity analysis on specific rate constants by reducing or raising their initial values to a point where maximum oil yield is attainable in the temperature range of 340–370°C. The primary focus was to save time and cost of extracting empirical rate constants from experiments to produce commercial‐scale pyrolytic oil. The H‐abstraction, chain fission, polymerization, and scission reactions were chosen due to the high availability of free radicals for maximum oil production. The oil recovery rate improved drastically to 90% at the end of processing time, while the number of by‐products gradually decreased. The k8 rate constant driven reaction is the best‐suited condition for industrial‐scale pyrolysis of high‐density plastics into liquid fuels, with 74% improvement in oil production and 14% improvement in light wax during sensitivity analysis.

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“…In order to examine the aforementioned assumptions to mathematically describe and quantify each of them, the Box-Behnken design was used as a specific type of response surface methodology (RSM). RSM is commonly applied in the description of various processes [30][31][32][33], especially in the description of the pyrolysis of plastics [34][35][36][37][38][39][40][41][42][43][44][45][46].…”

Section: Introductionmentioning

confidence: 99%

Effect of Feed Mass, Reactor Temperature, and Time on the Yield of Waste Polypropylene Pyrolysis Oil Produced via a Fixed-Bed Reactor

Papuga,

Savković,

Djurdjevic

et al. 2024

Polymers

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This paper presents the results of investigations into the pyrolysis of waste polypropylene in a laboratory fixed-bed batch reactor. The experiments were designed and verified in such a way as to allow the application of the response surface methodology (RSM) in the development of an empirical mathematical model that quantifies the impacts mentioned above. The influence of the mass of the raw material (50, 100, and 150 g) together with the reactor temperature (450, 475, and 500 °C) and the reaction time (45, 50 and 75 min) was examined. It has been shown that the mass of the raw material, i.e., the filling volume of the reactor, has a significant influence on the pyrolysis oil yield. This influence exceeds the influence of reactor temperature and reaction time. This was explained by observing the temperature change inside the reactor at three different spots at the bottom, middle, and top of the reactor. The recorded temperature diagrams show that, with greater masses of feedstock, local overheating occurs in the middle part of the reactor, which leads to the overcracking of volatile products and, from there, to an increased formation of non-condensable gases, i.e., a reduced yield of pyrolytic oil.

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Response Surface Methodology Analysis of Pyrolysis Reaction Rate Constants for Predicting Efficient Conversion of Bulk Plastic Waste into Oil and Gaseous Fuels

Cited by 5 publications

References 41 publications

Methods and Validation Techniques of Chemical Kinetics Models in Waste Thermal Conversion Processes

Methods and Validation Techniques of Chemical Kinetics Models in Waste Thermal Conversion Processes

Numerical sensitivity analysis of temperature‐dependent reaction rate constants for optimized thermal conversion of high‐density plastic waste into combustible fuels

Effect of Feed Mass, Reactor Temperature, and Time on the Yield of Waste Polypropylene Pyrolysis Oil Produced via a Fixed-Bed Reactor

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