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Effect of pyrolysis parameters on the biochar reactivity in the N-absorption reaction of chemical looping ammonia generation

Author

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  • Liu, Zhongyuan
  • Yu, Qingbo
  • Gao, Jinchao
  • Zhao, Jiatai
  • Duan, Wenjun

Abstract

Biochar from slow pyrolysis was applied to Chemical Looping Ammonia Generation (CLAG) to avoid the preparation of ammonia from fossil fuels and relatively expensive H2. The effects of pyrolysis atmosphere, temperature, heating rate, and residence time on the biochar reactivity in the N-adsorption reaction were investigated. The relationship between specific surface area, average pore diameter, micropore percentage, and disorder degree of biochar on reactivity was evaluated by simple and multiple linear regression and Analysis of Variance (ANOVA). The results showed that the biochar prepared in a CO2 atmosphere with a pyrolysis temperature of 700 °C, a heating rate of 10 °C/min, and a resident time of 30 min had the highest conversion rate of 57.79 % in the N-absorption reaction. When the pyrolysis temperature was increased from 600 °C to 700 °C, the biochar conversion in the N-adsorption reaction was significantly increased due to the Boudouard reaction during biomass pyrolysis. The linear regression and ANOVA results show that the micropore percentage and disorder degree of biochar significantly positively affected the reactivity, guiding feedstock selection and optimization of the preparation method of the carbon source used for CLAG.

Suggested Citation

  • Liu, Zhongyuan & Yu, Qingbo & Gao, Jinchao & Zhao, Jiatai & Duan, Wenjun, 2024. "Effect of pyrolysis parameters on the biochar reactivity in the N-absorption reaction of chemical looping ammonia generation," Energy, Elsevier, vol. 310(C).
    • Handle: RePEc:eee:energy:v:310:y:2024:i:c:s0360544224030974
    DOI: 10.1016/j.energy.2024.133321
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    References listed on IDEAS

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    1. Duan, Wenjun & Han, Jiachen & Yang, Shuo & Wang, Zhimei & Yu, Qingbo & Zhan, Yaquan, 2024. "Understanding CO2 adsorption in layered double oxides synthesized by slag through kinetic and modelling techniques," Energy, Elsevier, vol. 297(C).
    2. De Iorio, Maria & Muller, Peter & Rosner, Gary L. & MacEachern, Steven N., 2004. "An ANOVA Model for Dependent Random Measures," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 205-215, January.
    3. Perčić, Maja & Vladimir, Nikola & Jovanović, Ivana & Koričan, Marija, 2022. "Application of fuel cells with zero-carbon fuels in short-sea shipping," Applied Energy, Elsevier, vol. 309(C).
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