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Independent parallel pyrolysis kinetics of extracted proteins and lipids as well as model carbohydrates in microalgae

Author

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  • Aniza, Ria
  • Chen, Wei-Hsin
  • Lin, Yu-Ying
  • Tran, Khanh-Quang
  • Chang, Jo-Shu
  • Lam, Su Shiung
  • Park, Young-Kwon
  • Kwon, Eilhann E.
  • Tabatabaei, Meisam

Abstract

Microalgae offer unique potentials for developing advanced biorefineries, including third-generation biofuel production, wastewater treatment, and animal and aquaculture feed production. The thermodegradation of protein, lipid, and carbohydrates plays a vital role in the thermochemical conversion of microalgae for biofuel production. This work aims to investigate the kinetics and the interaction of extracted protein and lipid as well as model carbohydrates from microalgae to assist the development of microalgae conversion techniques, which have not been studied so far. Thermogravimetric analysis is integrated with an independent parallel reaction (IPR) and particle swarm optimization (PSO) method to explore the pyrolysis kinetics of three constituents (protein, lipid, and carbohydrates). The calorific values of the three constituents show that protein (5.33 MJ·kg−1) is not a suitable biofuel feedstock. In contrast, lipid (34.22 MJ·kg−1) and carbohydrates (15.37–15.84 MJ·kg−1) are considered as potential feedstocks for liquid and solid biofuel production, respectively. The pyrolysis processes suggest that the thermodegradation extent follows the order of carbohydrates > protein > lipid. The application of the IPR-PSO method on the pyrolysis kinetics of microalgae in three pseudo-components obtains a high fit quality (>96%) for all cases, indicating that the method is suitable to predict the kinetics parameters of the three constituents of microalgae. The effect analysis reveals that the synergistic effect accounts for about 50% of the total mass of the thermodegradation process of model carbohydrates, occuring at 200–320 °C. Meanwhile, the theoretical and experimental thermogravimetric analysis curve of combination of the three constituents suggests that there are four regions detected, including strong synergistic effect, weak antagonistic effect, weak synergistic effect, and strong antagonistic effect, respectively.

Suggested Citation

  • Aniza, Ria & Chen, Wei-Hsin & Lin, Yu-Ying & Tran, Khanh-Quang & Chang, Jo-Shu & Lam, Su Shiung & Park, Young-Kwon & Kwon, Eilhann E. & Tabatabaei, Meisam, 2021. "Independent parallel pyrolysis kinetics of extracted proteins and lipids as well as model carbohydrates in microalgae," Applied Energy, Elsevier, vol. 300(C).
    • Handle: RePEc:eee:appene:v:300:y:2021:i:c:s0306261921007777
    DOI: 10.1016/j.apenergy.2021.117372
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    2. Kong, Wenwen & Shen, Boxiong & Ma, Jiao & Kong, Jia & Feng, Shuo & Wang, Zhuozhi & Xiong, Lifu, 2022. "Pyrolysis of Spirulina platensis, Tetradesmus obliquus and Chlorella vulgaris by TG-FTIR and Py-GC/MS: Kinetic analysis and pyrolysis behaviour," Energy, Elsevier, vol. 244(PB).
    3. Escalante, Jamin & Chen, Wei-Hsin & Tabatabaei, Meisam & Hoang, Anh Tuan & Kwon, Eilhann E. & Andrew Lin, Kun-Yi & Saravanakumar, Ayyadurai, 2022. "Pyrolysis of lignocellulosic, algal, plastic, and other biomass wastes for biofuel production and circular bioeconomy: A review of thermogravimetric analysis (TGA) approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    4. Chen, Wei-Hsin & Lo, Hsiu-Ju & Aniza, Ria & Lin, Bo-Jhih & Park, Young-Kwon & Kwon, Eilhann E. & Sheen, Herng-Kuang & Grafilo, Laumar Alan Dave R., 2022. "Forecast of glucose production from biomass wet torrefaction using statistical approach along with multivariate adaptive regression splines, neural network and decision tree," Applied Energy, Elsevier, vol. 324(C).

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