4.8 Article

Microbial Internal Storage Alters the Carbon Transformation in Dynamic Anaerobic Fermentation

Journal

ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 49, Issue 15, Pages 9159-9167

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.5b01855

Keywords

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Funding

  1. Natural Science Foundation of China [51129803]
  2. Program for Changjiang Scholars and Innovative Research Team in University of the Ministry of Education of China
  3. Australian Research Council [DE130100451]
  4. Australian Research Council [DE130100451] Funding Source: Australian Research Council

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Microbial internal storage processes have been demonstrated to occur and play an important role in activated sludge systems under both aerobic and anoxic conditions when operating under dynamic conditions. High-rate anaerobic reactors are often operated at a high volumetric organic loading and a relatively dynamic profile, with large amounts of fermentable substrates. These dynamic operating conditions and high catabolic energy availability might also facilitate the formation of internal storage polymers by anaerobic microorganisms. However, so far information about storage under anaerobic conditions (e.g., anaerobic fermentation) as well as its consideration in anaerobic process modeling (e.g., IWA Anaerobic Digestion Model No. 1, ADM1) is still sparse. In this work, the accumulation of storage polymers during anaerobic fermentation was evaluated by batch experiments using anaerobic methanogenic sludge and based on mass balance analysis of carbon transformation. A new mathematical model was developed to describe microbial storage in anaerobic systems. The model was calibrated and validated by using independent data sets from two different anaerobic systems, with significant storage observed, and effectively simulated in both systems. The inclusion of the new anaerobic storage processes in the developed model allows for more successful simulation of transients due to lower accumulation of volatile fatty acids (correction for the overestimation of volatile fatty acids), which mitigates pH fluctuations. Current models such as the ADM1 cannot effectively simulate these dynamics due to a lack of anaerobic storage mechanisms.

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