Model-based analysis and optimization of a full-scale industrial high-rate anaerobic bioreactor

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The objective of this paper is to present the model‐based optimization results of an anaerobic granular sludge internal circulation (IC) reactor. The International Water Association (IWA) Anaerobic Digestion Model No. 1 extended with phosphorus (P), sulphur (S) and ethanol (Et‐OH) is used to describe the main biological and physico‐chemical processes. The high‐rate conditions within the reactor are simulated using a flow + reactor model comprised of a series of continuous stirred tank reactors (CSTRs) followed by an ideal total suspended solids (TSS) separation unit. Following parameter estimation by least squares on the measured data, the model had a relative mean error of 13 % and 15 % for Dataset #1 and Dataset #2, respectively. Response surfaces (RSs) show that the reactor performance index (RPI) (a metric combining energy recovery in the form of heat and electricity, as well as chemicals needed for pH control) could be improved by 45 % when reactor pH is reduced down to 6.8. Model‐based results reveal that influent S does not impose sufficient negative impacts on energy recovery (+ 5.7 %, in MWh/day, + 0.20 M€/year when influent S is removed) to warrant the cost of its removal (3.58 M€/year). In fact, the process could handle even higher S loads (ensuring the same degree of conversion) as long as the pH is maintained above 6.8. Nevertheless, a higher S load substantially increases the amount of added NaOH to maintain the desired operational pH (> 25 %) due to the acidic behaviour of HS‐. CO2 stripping decreases the buffer capacity of the system and hence use of chemicals for pH control. Finally, the paper discusses possibilities and limitations of the proposed approach, and how the results of this study will be put into practice.
Original languageEnglish
JournalBiotechnology and Bioengineering
Issue number11
Pages (from-to)2726-2739
Publication statusPublished - 2018
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • ADM1, Benchmarking, Energy recovery, High-rate reactors, Sulfide production, Response surfaces
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