Comprehensive study of the kinetics of combustion and pyrolysis of petrochemical sludge : experimentation and application of artificial neural network

Verma, Shilpi (avtor), Kumar, Mamleshwar (avtor), Kaur, Ramanpreet (avtor), Kumar, Praveen (avtor), Sillanpää, Mika (avtor), Lavrenčič Štangar, Urška (avtor)

Energy can be obtained from the pyrolysis and combustion of purified terephthalic acid (PTA) sludge which is produced during the treatment of PTA wastewater. In this study, the combustion and pyrolysis behaviors and kinetics of the sludge produced from the thermochemical treatment of PTA wastewater were analyzed under nonisothermal heating. It was found that reaction orders were in the range of 1–3 for oxidation/combustion. The reactions were exothermic, as indicated by the negative change in enthalpy. The phenomenon of auto gasification was observed during pyrolysis for three sludges. The analysis of the change of activation energy with the degree of conversion showed that several parallel reactions occurred at the beginning of the sludge decomposition during air combustion. The value of activation energy for CuSO$_4$, FeCl$_3$ and FeCl$_3$ + CPAA sludge was 99.5 kJ/mol, 109 kJ/mol and 118.7 kJ/mol, respectively, for pyrolysis and 116.3 kJ/mol, 68.8 kJ/mol, and 127.9 kJ/ mol, respectively, for combustion. These sludges are promising for energy recovery because they have a high net calorific value (NCV) and a high gross calorific value (GCV). The GCV was 22.4 MJ/kg, 19.8 MJ/kg, and 28.4 MJ/kg for CuSO$_4$, FeCl$_3$, and FeCl$_3$ with CPAA, respectively and the NCV was 22.3 MJ/kg, 18.6 MJ/kg, and 27.3 MJ/kg for CuSO$_4$, FeCl$_3$, and FeCl$_3$ with CPAA, respectively. The artificial neural network was used to validate the experimental results. The correlation coefficient between the expected and experimental results were 0.9945, 0.9980 and 0.9980 for CuSO$_4$, FeCl$_3$ and FeCl$_3$ +CPAA sludge for pyrolysis, respectively and 0.9989, 0.9963 and 0.9968 for CuSO$_4$, FeCl$_3$ and FeCl$_3$ +CPAA sludge for combustion, respectively. The developed ANN model successfully predicts the combustion and pyrolytic process for petrochemical sludge under specified conditions.

• Jezik: Angleški jezik
• Ključne besede: PTA wastewater sludge, auto-gasification/oxidation, pyrolysis kinetics, high calorific-value, ANN modeling
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FKKT - Fakulteta za kemijo in kemijsko tehnologijo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2023
• Št. strani: 12 str.
• Številčenje: Vol. 174, art. 106140
• PID: 20.500.12556/RUL-152989
• UDK: 543.57:628.336.71
• ISSN pri članku: 1873-250X
• DOI: 10.1016/j.jaap.2023.106140
• COBISS.SI-ID: 161386755
• Datum objave v RUL: 13.12.2023

VERMA, Shilpi, KUMAR, Mamleshwar, KAUR, Ramanpreet, KUMAR, Praveen, SILLANPÄÄ, Mika in LAVRENČIČ ŠTANGAR, Urška, 2023, Comprehensive study of the kinetics of combustion and pyrolysis of petrochemical sludge : experimentation and application of artificial neural network. Journal of analytical and applied pyrolysis [na spletu]. 2023. Vol. 174,  106140. [Dostopano 21 april 2025]. DOI 10.1016/j.jaap.2023.106140. Pridobljeno s: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=slv&id=152989

Gradivo je del revije

• Naslov: Journal of analytical and applied pyrolysis
• Založnik: Elsevier
• ISSN: 1873-250X
• COBISS.SI-ID: 23093765

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: PTA odpadno blato, avtooksidacija, kinetika pirolize, toplotna kapaciteta, ANN modeliranje

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P1-0134
• Naslov: Kemija za trajnostni razvoj