Optimization and kinetic modeling of an enhanced bio-hydrogen fermentation with the addition of synergistic biochar and nickel nanoparticle

Yong Sun, Gang Yang, Jinping Zhang, Chao Wen, Zhi Sun

Research output: Journal PublicationArticlepeer-review

21 Citations (Scopus)

Abstract

The improvement of hydrogen production was achieved by the addition of biochar (BC) and metal co-factor nanoparticle Ni0 during the dark fermentation. A new hybrid approach by combing the artificial neural networks with the response surface methodology was applied to optimize the hydrogen production. The effects of operating conditions, ie, BC, metal cofactor Ni0, pH, and dosage of microbes, upon the hydrogen production together with the concentrations of other metabolites such as the acetic acid, propionic acid, butyric acid, and ethanol were extensively investigated. From kinetic study of the major metabolites, the acetate pathway was found to be apparently enhanced by the addition of synergistic factors. The modified anaerobic digestion model with the consideration of inhabitation factor was found to best represent the kinetics of hydrogen production and the formation of major metabolites.

Original languageEnglish
Pages (from-to)983-999
Number of pages17
JournalInternational Journal of Energy Research
Volume43
Issue number2
DOIs
Publication statusPublished - 1 Feb 2019

Keywords

  • biochar
  • hybrid AANs-RSM
  • kinetic modelingnickel nanoparticleoptimization

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Nuclear Energy and Engineering
  • Fuel Technology
  • Energy Engineering and Power Technology

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