Correlation Engine 2.0
Clear Search sequence regions

  • algorithm (4)
  • anaerobiosis (1)
  • bacteria (4)
  • biofuels (2)
  • corn (2)
  • zea (1)
  • Sizes of these terms reflect their relevance to your search.

    An exergy equilibrium model was established to obtain the exergy efficiency under different conditions of compound bacteria pretreatment and anaerobic digestion (AD) of corn stalk. The Genetic Algorithm (GA) was applied to optimize the exergy efficiency of the combination process of the pretreatment and AD. The maximum exergy efficiency with the GA was 19.04%, corresponding to the optimal pretreatment parameters: pretreatment temperature 33.34℃, stalk particle size 0.50 mm, ventilation rate 0.88 L/min, pretreatment time 169.03 h. The optimal AD parameters were: digestion temperature 38.08℃ and stirring rate 48.04 r/min. The validation experiment exergy efficiency reached to 19.25%, which was 24.37% higher as compared to that of the non-pretreatment process. Under these optimal conditions, the energy consumption of the compound bacteria pretreatment and the time of the bio-methane production process were effectively reduced. Copyright © 2021 Elsevier Ltd. All rights reserved.


    Hui Zhang, Chengpu Guo, Youzhou Jiao, Xinxin Liu, Chao He, Mukesh Kumar Awasthi, Liang Liu, Chun Chang. Exergy analysis and optimization of bio-methane production from corn stalk pretreated by compound bacteria based on genetic algorithm. Bioresource technology. 2022 Feb;346:126413

    Expand section icon Mesh Tags

    Expand section icon Substances

    PMID: 34838632

    View Full Text