Synergistic effects of catalytic co-pyrolysis of corn cob and HDPE waste mixtures using weight average global process model. (June 2021)

• Record Type: Journal Article
• Authors: Liew, Jia Xin; Loy, Adrian Chun Minh; Chin, Bridgid Lai Fui; AlNouss, Ahmed; Shahbaz, Muhammad; Al-Ansari, Tareq; Govindan, Rajesh; Chai, Yee Ho
• Is Part Of: Renewable energy. Volume 170(2021)
• Page Start: 948
• Page End: 963
• Publication Date: 2021-06
• Subjects: Weight average global model -- Synergistic effects -- Catalytic pyrolysis -- Corn cob -- HDPE -- Artificial neural network (ANN); Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2021.02.053
• Languages: English
• ISSNs: 0960-1481

Abstract

ABSTRACT (200 words): Synergistic effects and kinetic parameters for binary mixtures of corn cob and high-density polyethylene (HDPE) in co-pyrolysis with the presence of renewable chicken and duck eggshell catalyst are evaluated using thermogravimetric analysis (TGA) approach at various heating rates (10–200 K/min) in temperature range of 323–1173 K. Weight average global process model based on two-stage kinetic scheme are employed in this study. The reaction mechanisms involved in the co-pyrolysis process are 1-D diffusion for second stage of thermal degradation and 3-D diffusion for third stage of the thermal degradation. The difference in the experimental and estimated values of the catalytic corn cob and HDPE mixtures in terms of weight loss indicates the existence of the synergistic effects during the pyrolysis process. The values of the activation energy for pure corn cob, pure HDPE, binary mixtures of corn cob and HDPE are reported in the range of 43.61–83.03, 412.32–510.72, and 28.98–93.18 kJ/mol, respectively. Meanwhile, the activation energy for catalytic pyrolysis process are in the range of 28.98–113.17 and 23.65–119.50 kJ/mol respectively in the presence of chicken and duck eggshells as catalyst. Additionally, artificial neural network (ANN) and joint optimization modelling are also utilized to validate and optimize the results from the TGA. Graphical abstract: Image 1 Highlights: Investigation of catalytic co-pyrolysis of corncob and HDPE waste mixtures in TGA. Presence of renewable catalysts in co-pyrolysis process lowered activation energy. Food waste such as chicken and duck eggshells are used as a source of catalyst. Weight average global process model was successfully used in this process. ANN and joint optimization were first time applied in the co-pyrolysis process.