Kinetic parameter estimation model for anaerobic co-digestion of waste activated sludge and microalgae

Eunyoung Lee, Jewel Cumberbatch, Meng Wang, Qiong Zhang

Research output: Contribution to journalArticlepeer-review

40 Scopus citations


Anaerobic co-digestion has a potential to improve biogas production, but limited kinetic information is available for co-digestion. This study introduced regression-based models to estimate the kinetic parameters for the co-digestion of microalgae and Waste Activated Sludge (WAS). The models were developed using the ratios of co-substrates and the kinetic parameters for the single substrate as indicators. The models were applied to the modified first-order kinetics and Monod model to determine the rate of hydrolysis and methanogenesis for the co-digestion. The results showed that the model using a hyperbola function was better for the estimation of the first-order kinetic coefficients, while the model using inverse tangent function closely estimated the Monod kinetic parameters. The models can be used for estimating kinetic parameters for not only microalgae-WAS co-digestion but also other substrates’ co-digestion such as microalgae-swine manure and WAS-aquatic plants.

Original languageEnglish (US)
Pages (from-to)9-17
Number of pages9
JournalBioresource technology
StatePublished - 2017

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Environmental Engineering
  • Renewable Energy, Sustainability and the Environment
  • Waste Management and Disposal


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