The IWA Anaerobic Digestion Model No 1 (ADM1)

Batstone, Damien J.; Keller, Jürg; Angelidaki, Irini; Kalyuzhnyi, S.; Pavlostathis, Spyros G.; Rozzi, A.; Sanders, W.T.M.; Siegrist, Hansruedi; Вавилин, В.А.

doi:10.2166/wst.2002.0292

Cited by 1,973 publications

(1,912 citation statements)

References 10 publications

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“…In brief, the IWA Anaerobic Digestion No. 1 (Batstone et al, 2002) was modified to include microbial storage and tylosin inhibition. Tylosin inhibition was included by increasing the decay rate of propionate oxidizing syntrophic bacteria.…”

Section: Mathematical Modelmentioning

confidence: 99%

Effects of the antimicrobial tylosin on the microbial community structure of an anaerobic sequencing batch reactor

Shimada

Zilles

et al. 2010

Biotech & Bioengineering

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Morgenroth, Eberhard; and Raskin, Lutgarde, "Effects of the antimicrobial tylosin on the microbial community structure of an anaerobic sequencing batch reactor" (2010). Civil Engineering Faculty Publications. 37. http://digitalcommons.unl.edu/civilengfacpub/37 AbstractThe effects of the antimicrobial tylosin on a methanogenic microbial community were studied in a glucosefed laboratory-scale anaerobic sequencing batch reactor (ASBR) exposed to stepwise increases of tylosin (0, 1.67, and 167 mg/L). The microbial community structure was determined using quantitative fluorescence in situ hybridization (FISH) and phylogenetic analyses of bacterial 16S ribosomal RNA (rRNA) gene clone libraries of biomass samples. During the periods without tylosin addition and with an influent tylosin concentration of 1.67 mg/L, 16S rRNA gene sequences related to Syntrophobacter were detected and the relative abundance of Methanosaeta species was high. During the highest tylosin dose of 167 mg/L, 16S rRNA gene sequences related to Syntrophobacter species were not detected and the relative abundance of Methanosaeta decreased considerably. Throughout the experimental period, Propionibacteriaceae and high GC Gram-positive bacteria were present, based on 16S rRNA gene sequences and FISH analyses, respectively. The accumulation of propionate and subsequent reactor failure after long-term exposure to tylosin are attributed to the direct inhibition of propionate-oxidizing syntrophic bacteria closely related to Syntrophobacter and the indirect inhibition of Methanosaeta by high propionate concentrations and low pH.

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Section: Mathematical Modelmentioning

confidence: 99%

Effects of the antimicrobial tylosin on the microbial community structure of an anaerobic sequencing batch reactor

Shimada

Zilles

et al. 2010

Biotech & Bioengineering

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“…Methanogenesis is progressively inhibited with the increase of sulfide concentration in the substrate and this inhibition is related to the undissociated H2S concentration (affected by pH) [24]. In our tests, the pH of the medium was adjusted to 8.0 ± 0.1 by the addition of sodium bicarbonate, and the undissociated H2S concentration was ignored.…”

Section: Carbon-nitrate-sulfate Removal In Batch Testsmentioning

confidence: 99%

“…Mathematical models have also been applied to predict sulfate removal during industrial wastewater treatment (R1, R6 and R7 in Figure 1) [19][20][21][22][23], as extensions of Anaerobic Digestion Model No. 1 (ADM1) [24]. Furthermore, Fedorovich et al [55] thoroughly discussed the extension of ADM1 with process of sulfate reduction.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of simultaneous carbon-nitrogen-sulfur removal from industrial wastewater

Chen

Wang

et al. 2017

Journal of Hazardous Materials

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(Nan-Qi Ren) 2 Highlights:1. Simultaneous C-N-S removal from industrial wastewater was mathematically modeled 2. Interactions between SRB, NRB, SOB, FB and MPA were depicted in the model 3. Kinetic parameters for competitive coefficient between SRB and NRB were best estimated 4. The developed mode was the first simulation tool for complicated C-N-S dynamics 5. The model was versatile and feasible to predict relevant processes (e.g., SR-SO, DSR)ABSTRACT A mathematical model of carbon, nitrogen and sulfur removal (C-N-S) from industrial wastewater was constructed considering the interactions of sulfate-reducing bacteria (SRB), sulfide-oxidizing bacteria (SOB), nitrate-reducing bacteria (NRB), facultative bacteria (FB), and methane producing archaea (MPA). For the kinetic network, the bioconversion of C-N by heterotrophic denitrifiers (NO3 -→NO2 -→N2), and that of C-S by SRB (SO4 2-→S 2-) and SOB (S 2-→S 0 ) was proposed and calibrated based on batch experimental data. The model closely predicted the profiles of nitrate, nitrite, sulfate, sulfide, lactate, acetate, methane and oxygen under both anaerobic and micro-aerobic conditions. The best-fit kinetic parameters had small 95% confidence regions with mean values approximately at the center. The model was further validated using independent data sets generated under different operating conditions. This work was the first successful mathematical modeling of simultaneous C-N-S removal from industrial wastewater and more importantly, the proposed model was proven feasible to simulate other relevant processes, such as sulfate-reducing, sulfide-oxidizing process (SR-SO) and denitrifying sulfide removal (DSR) process. The model developed is expected to enhance our ability to predict the treatment of carbon-nitrogen-sulfur contaminated industrial wastewater.

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“…1 [101], which was based on the collective knowledge of modelling and simulation of AD systems. The aim of the ADM1 approach is not to provide an overall model but to supply a unified basis for AD modelling; indeed the first version of ADM1 neglects certain processes involved in AD, such as sulfate reduction, acetate oxidation, homoacetogenesis, solids precipitation and inhibition due to sulfide, nitrate, longchain fatty acids (LCFAs), and weak acids and bases [102].…”

Section: Mathematical Modellingmentioning

confidence: 99%

Fate of Trace Metals in Anaerobic Digestion

Fermoso

Hullebusch²,

Guibaud

et al. 2015

Advances in Biochemical Engineering/Biotechnology

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A challenging, and largely uncharted, area of research in the field of anaerobic digestion science and technology is in understanding the roles of trace metals in enabling biogas production. This is a major knowledge gap and a multifaceted problem involving metal chemistry; physical interactions of metal and solids; microbiology; and technology optimization. Moreover, the fate of trace metals, and the chemical speciation and transport of trace metals in environmentsoften agricultural lands receiving discharge waters from anaerobic digestion processes -is completely unknown but simultaneously represents challenges for environmental protection and opportunities to close process loops in anaerobic biotechnologies. Affiliation 1.

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The IWA Anaerobic Digestion Model No 1 (ADM1)

Cited by 1,973 publications

References 10 publications

Effects of the antimicrobial tylosin on the microbial community structure of an anaerobic sequencing batch reactor

Effects of the antimicrobial tylosin on the microbial community structure of an anaerobic sequencing batch reactor

Mathematical modeling of simultaneous carbon-nitrogen-sulfur removal from industrial wastewater

Fate of Trace Metals in Anaerobic Digestion

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