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Artificial neural network approach for co-pyrolysis of Chlorella vulgaris and peanut shell binary mixtures using microalgae ash catalyst

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  • Bong, Jang Tyng
  • Loy, Adrian Chun Minh
  • Chin, Bridgid Lai Fui
  • Lam, Man Kee
  • Tang, Daniel Kuok Ho
  • Lim, Huei Yeong
  • Chai, Yee Ho
  • Yusup, Suzana

Abstract

The catalytic pyrolysis of pure microalgae (M), peanut shell wastes (PS) and their binary mixtures were analysed by introducing the microalgae ash (MA) as a catalyst. The pyrolysis processes were conducted at different heating rates from 10 K/min-100 K/min to observe their thermal degradation behaviour. Additionally, Artificial Neural Network (ANN) was applied by feeding the heating rates and temperatures to predict the weight loss of the samples. The kinetic and thermodynamic parameters were also determined through three different iso-conversional kinetic models: Friedman (FR), Kissinger-Akahira-Sunose (KAS) and Flynn-Wall-Ozawa (FWO). Based on the kinetic results, FWO model achieved the lowest deviation between the activation energies (Ea) from the experimental which aligned with the ANN predicted results. The finding also shows that the activation energy (Ea) of the catalytic pyrolysis of binary mixtures was lower than the pure M and PS (Experimental: 142.56 kJ/mol; ANN forecast: 131.37 kJ/mol).

Suggested Citation

  • Bong, Jang Tyng & Loy, Adrian Chun Minh & Chin, Bridgid Lai Fui & Lam, Man Kee & Tang, Daniel Kuok Ho & Lim, Huei Yeong & Chai, Yee Ho & Yusup, Suzana, 2020. "Artificial neural network approach for co-pyrolysis of Chlorella vulgaris and peanut shell binary mixtures using microalgae ash catalyst," Energy, Elsevier, vol. 207(C).
    • Handle: RePEc:eee:energy:v:207:y:2020:i:c:s0360544220313967
    DOI: 10.1016/j.energy.2020.118289
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    1. Zhenghui Xu & Xiang Xiao & Ping Fang & Lyumeng Ye & Jianhang Huang & Haiwen Wu & Zijun Tang & Dongyao Chen, 2020. "Comparison of Combustion and Pyrolysis Behavior of the Peanut Shells in Air and N 2 : Kinetics, Thermodynamics and Gas Emissions," Sustainability, MDPI, vol. 12(2), pages 1-14, January.
    2. Mohammad I. Jahirul & Mohammad G. Rasul & Ashfaque Ahmed Chowdhury & Nanjappa Ashwath, 2012. "Biofuels Production through Biomass Pyrolysis —A Technological Review," Energies, MDPI, vol. 5(12), pages 1-50, November.
    3. Tripathi, Manoj & Sahu, J.N. & Ganesan, P., 2016. "Effect of process parameters on production of biochar from biomass waste through pyrolysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 467-481.
    4. Miguel-Angel Perea-Moreno & Francisco Manzano-Agugliaro & Quetzalcoatl Hernandez-Escobedo & Alberto-Jesus Perea-Moreno, 2018. "Peanut Shell for Energy: Properties and Its Potential to Respect the Environment," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    5. Fang, Peiwen & Gong, Zhiqiang & Wang, Zhenbo & Wang, Zhentong & Meng, Fanzhi, 2019. "Study on combustion and emission characteristics of microalgae and its extraction residue with TG-MS," Renewable Energy, Elsevier, vol. 140(C), pages 884-894.
    6. Shahbaz, Muhammad & Taqvi, Syed A. & Minh Loy, Adrian Chun & Inayat, Abrar & Uddin, Fahim & Bokhari, Awais & Naqvi, Salman Raza, 2019. "Artificial neural network approach for the steam gasification of palm oil waste using bottom ash and CaO," Renewable Energy, Elsevier, vol. 132(C), pages 243-254.
    7. Teng, Sin Yong & Loy, Adrian Chun Minh & Leong, Wei Dong & How, Bing Shen & Chin, Bridgid Lai Fui & Máša, Vítězslav, 2019. "Catalytic thermal degradation of Chlorella Vulgaris: Evolving deep neural networks for optimization," MPRA Paper 95772, University Library of Munich, Germany.
    8. Gupta, Shubhi & Gupta, Goutam Kishore & Mondal, Monoj Kumar, 2019. "Slow pyrolysis of chemically treated walnut shell for valuable products: Effect of process parameters and in-depth product analysis," Energy, Elsevier, vol. 181(C), pages 665-676.
    9. Kasmuri, N.H. & Kamarudin, S.K. & Abdullah, S.R.S. & Hasan, H.A. & Som, A. Md, 2019. "Integrated advanced nonlinear neural network-simulink control system for production of bio-methanol from sugar cane bagasse via pyrolysis," Energy, Elsevier, vol. 168(C), pages 261-272.
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    4. Vikash Singh & Seon Yeong Park & Eun Seo Lee & Jun Ho Choi & Chang Gyun Kim & Vimal Chandra Srivastava, 2024. "Investigation of co-combustion characteristics of distillery sludge and sugar mill waste: kinetics, synergy, and ash characterization," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 21217-21236, August.
    5. Sahoo, Abhisek & Saini, Komal & Negi, Shweta & Kumar, Jitendra & Pant, Kamal K. & Bhaskar, Thallada, 2022. "Inspecting the bioenergy potential of noxious Vachellia nilotica weed via pyrolysis: Thermo-kinetic study, neural network modeling and response surface optimization," Renewable Energy, Elsevier, vol. 185(C), pages 386-402.
    6. Tian, Junjian & Liu, Yu & Bi, Haobo & Li, Fengyu & Bao, Lin & Han, Kai & Zhou, Wenliang & Ni, Zhanshi & Lin, Qizhao, 2022. "Experimental study on the spray characteristics of octanol diesel and prediction of spray tip penetration by ANN model," Energy, Elsevier, vol. 239(PA).
    7. Chen, Zhiyun & Chen, Huashan & Wu, Xieyuan & Zhang, Junhui & Evrendilek, Deniz Eren & Liu, Jingyong & Liang, Guanjie & Li, Weixin, 2021. "Temperature- and heating rate-dependent pyrolysis mechanisms and emissions of Chinese medicine residues and numerical reconstruction and optimization of their non-linear dynamics," Renewable Energy, Elsevier, vol. 164(C), pages 1408-1423.

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