Non-isothermal thermo-kinetics and empirical modeling: Comparative pyrolysis of cow and Buffalo manure

Ashraf, Muhammad; Aslam, Zaheer; Ramzan, Naveed; Anwar, Adeel; Aslam, Umair; Durrani, Abdullah Khan; Khan, Rafi Ullah; Naseer, Saad; Azam, Muhammad Zeeshan

doi:10.1016/j.tsep.2022.101568

Cited by 7 publications

(1 citation statement)

References 48 publications

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“…For instance, the Ea for feeds DP, CW, and CD vary from 166.04 to 207.48, 118.09 to 293.50, and 168.50 to 273.39 kJ/ mol using the FWO model (figure S2). However, a slightly lower Ea has been previously reported for cow manure, buffalo manure, and CD compared to our results using model-free methods [43,44] and model-based methods [41]. On the other hand, Ea for DP has been reported as high as 324 kJ/mol by Parthasarathy et al [45], which is much higher than the 207 kJ/mol reported in this study.…”

Section: 4contrasting

confidence: 88%

Multibiomass and Natural Marine Waste Catalyst Copyrolysis: Exploring Synergy, Isoconversional Kinetics, Thermodynamics, and Mechanism

Mariyam,

Al-Ansari,

McKay

2023

International Journal of Energy Research

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This study presents the copyrolysis of three biomasses (date pits, cow manure, and coffee waste) and explores the potential of utilizing natural waste catalysts—seashell (SS) and cuttlebone (CB)—to improve the kinetics and thermodynamics of the process. Mixing the feeds led to positive synergistic effects, particularly at a heating rate of 10 K/min or higher. By employing three model-free kinetic methods, the estimated activation energy (Ea) was lower for the ternary feed than the single feeds, and 20 wt.% of the feed with SS and CB catalysts was added. The Ea reduced from 162 kJ/mol for the ternary feed by 25.6% (~121 kJ/mol) and 21.6% (154 kJ/mol) in the presence of SS and CB, respectively. The thermodynamic parameters were positive for all the noncatalytic feeds, resulting in endothermic, nonspontaneous reactions and increased disorder or randomness. Catalysts influenced the thermodynamic parameters, making the process more energy efficient. The results are the utilization of cheap, eco-friendly feeds and catalysts for sustainable energy production using copyrolysis.

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Section: 4contrasting

confidence: 88%

Multibiomass and Natural Marine Waste Catalyst Copyrolysis: Exploring Synergy, Isoconversional Kinetics, Thermodynamics, and Mechanism

Mariyam,

Al-Ansari,

McKay

2023

International Journal of Energy Research

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Pyrolysis Empirical Modeling of Polyester Glass Fiber Reinforced Plastics Using Sestak-Berggren Model Method

Nan,

Ji,

Yuan

et al. 2024

J. Therm. Sci.

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Comparison Study of ANFIS, ANN, and RSM and Mechanistic Modeling for Chromium(VI) Removal Using Modified Cellulose Nanocrystals–Sodium Alginate (CNC–Alg)

2023

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The adsorption process was investigated using the ANFIS, ANN, and RSM models. The adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN), and response surface methodology (RSM) were used to develop an approach for assessing the Cr(VI) adsorption from wastewater using cellulose nanocrystals and sodium alginate. The adsorbent was characterized using Fourier transform infrared spectroscopy and thermogravimetric analysis. Initial pH of 6, contact time of 100 min, initial Cr(VI) concentration of 175 mg/L, sorbent dose of 6 mg, and adsorption capacity of 350.23 mg/g were the optimal condition. The Cr(VI) adsorption mechanism was described via four mechanistic models (film diffusion, Weber and Morris, Bangham, and Dumwald-Wagner models), with correlation values of 0.997, 0.990, and 0.989 for ANFIS, ANN, and RSM, respectively, and predicted the adsorption of the Cr(VI) with incredible accuracy. Statistical error tasks were additionally applied to relate the adequacy of the models. Using the central composite design (CCD), the significance of operating factors such as time, adsorbent dose, pH, and initial Cr(VI) concentration was investigated. The same concept was used to create a training set for ANN where the Levenberg–Marquardt, variable learning rate, and Polak Ribiere conjugate algorithms were used. Further statistical indices supported ANFIS as the best prediction model for adsorption compared to ANN and RSM. The efficient algorithm was used to optimize the process, which resulted in a 350 mg/g adsorption capacity. Film diffusion was identified as the rate-limiting process via mechanistic modeling.

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Non-isothermal thermo-kinetics and empirical modeling: Comparative pyrolysis of cow and Buffalo manure

Cited by 7 publications

References 48 publications

Multibiomass and Natural Marine Waste Catalyst Copyrolysis: Exploring Synergy, Isoconversional Kinetics, Thermodynamics, and Mechanism

Multibiomass and Natural Marine Waste Catalyst Copyrolysis: Exploring Synergy, Isoconversional Kinetics, Thermodynamics, and Mechanism

Pyrolysis Empirical Modeling of Polyester Glass Fiber Reinforced Plastics Using Sestak-Berggren Model Method

Comparison Study of ANFIS, ANN, and RSM and Mechanistic Modeling for Chromium(VI) Removal Using Modified Cellulose Nanocrystals–Sodium Alginate (CNC–Alg)

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