Size distribution model for methanogenic granules from full scale UASB and IC reactors

Pereboom, J. H. F.

doi:10.2166/wst.1994.0613

Cited by 65 publications

(23 citation statements)

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“…Initial experiments with the ASBR were conducted in 1989 and 1990 by Habben [47] and Pidaparti [113]. Since that time, the ASBR has been applied at laboratory scale to several different wastewaters, including starch wastewaters, furfuraldehyde wastewaters, landfill leachate, and swine wastes.…”

Section: The Analytical Laboratory Service and The Bessey Microscopy mentioning

confidence: 99%

“…In the majority of studies, granular biomass displays a higher SMA than that of non-granular biomass [30,33,34,87,113,114,135]. However, when comparing intact granule activity to disintegrated granule activity (whole granules broken apart by high shear or other procedure), it was found that the intact and disintegrated granules displayed similar SMAs.…”

Section: Activity Of Granular Biomassmentioning

confidence: 99%

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Enhancement of granulation and start‐up in the anaerobic sequencing batch reactor

Wirtz¹,

Dague²

1996

Water Environment Research

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This manuscript has been reproduced from the microfilm master. UMI fihns the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be fi-om any type of computer printer.The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction.In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion.Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand corner and continuing from left to right in equal sections with small overlaps. Each original is also photographed in one exposure and is included in reduced form at the back of the book.Photographs included in the original manuscript have been reproduced xerographically in this copy. Higher quality 6" x 9" black and white photographic prints are available for any photographs or illustrations appearing in this copy for an additional charge. Contact UMI directly to order. Table 2. Proton-reducing reactions by the acetogenic bacteria [14,27,143,168]. 23 Table 3. The methanogenic bacteria [12], 26 Table 4. Methanogenic substrates [12]. 27 Table 5. Important reactions by the methanogens [12,168]. 27 Table 6. Effects of alkali and alkaline-earth metals on anaerobic digestion [95]. 52 Table 7. Bacterial counts in granules from UASB reactors [31,33]. 91 Table 8. General composition of granules [31]. 96 Table 9. Granule chemical composition [32,33], 96 Table 10. Specific methanogenic activity of various biomass [32,87]. 99 Table 11. Substrates suitable for granule formation. 105 Table 12. Solubility products of metal salts [98]. 111 Table 13. Sucrose feed mixture. 126 Table 14. Beef extract and glucose feed mixture. 127 Table 15. Composition of the beef extract soup base. 128 Table 16. Nutrient (NPK) solution. 128 Table 17. Trace metal solution. 129 Table 18. Ames municipal water analysis. 131 Table 19. ASBR cycle time for 48 and 24-hr HRTs. 133 viii Table 20. Attachment matrices utilized for granulation enhancement. 138 Table 21. Polymer characteristics. 139 Table 22. Coagulants utilized for granulation enhancement. 139 Table 23. Operational parameters routinely tested. 141 Table 24. Reagents used in the COD test. 144 Table 25. Gas chromatography analysis setup. 158 Table 26. Elemental analysis of granules. 165 Table 27. Start-up and granulation summary. 232 Table 28. Summary of specific methanogenic activity experiments. 238 Table 29. Chemical composition of granular and initial seed biomass. 255 Table 30. COD data for the sucrose control test. 286 Table 31. Biogas data for the sucrose control test. 287 Table 32. Volatile acids data for the sucrose control test. 291 Ta...

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Section: The Analytical Laboratory Service and The Bessey Microscopy mentioning

confidence: 99%

Section: Activity Of Granular Biomassmentioning

confidence: 99%

Enhancement of granulation and start‐up in the anaerobic sequencing batch reactor

Wirtz¹,

Dague²

1996

Water Environment Research

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“…There were two principle reasons about the above phenomenon [7] : (1) Gas lift function would be decreased when the energy consumption of internal circulation increased; (2) Massive gas did not outflow in time so as to increase the pressure in gas-collecting hood, which resulted in decreasing of pressure difference between the both sides of riser.The first IC reactor (1989) was built in DenBdsch of Netherlands, which volume and H/D was 970m 3 and 3 respectively [8] ; an IC reactor built in Doosendaal of Netherlands was used to treat chicory wastewater, which volume and H/D was 1100m which volume and H/D was 400m 3 and 4 respectively [10] . According to our simulation results, optimum value of H/D by calculating results was 3, which were very in accordance with above engineering practices.…”

Section: Correlation Between Qic and Biogas Productionmentioning

confidence: 99%

Characteristics of Inner Cycle Flow Rate in Internal Circulation (IC) Anaerobic Reactor under Different Conditions by Fluent Method

Liu¹,

Zhang²,

Wang³

et al. 2016

Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)

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“…Factors affecting granule structure include wastewater type, reactor design and operational conditions (Kosaric et al, 1990;Pereboom, 1994;Schmidt and Ahring, 1996).…”

Section: Anaerobic Granulesmentioning

confidence: 99%

Microbial Ecology of Fermentative Microbes in Anaerobic Granules

Yang¹

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School of Chemical EngineeringII"|"P a g e " % AbstractGranules are large, self-supporting biofilms that form naturally in high-rate anaerobic treatment systems and are extremely important to reactor functionality. The biofilm structure has functional and phylogenetic layering, important both scientifically and to function.Fermenters, found on the surface of anaerobic granules, are associated with granule strength and uptake of the primary substrate. Compared to acetogens and methanogens, very limited work has been done on fermenters, particularly in granules. Due to their high diversity and difficulty in selective isolation, fermenters are best studied through culture-independent techniques. Until now, the microbial distribution could only be analysed through sectioning and microscopic analysis with fluorescent in situ hybridization. The whole granule could be analysed by DNA extraction and microbial community profiling methods but this did not provide spatial information. This thesis develops a method to remove microbes selectively from successive spatial layers through hydraulic shearing and demonstrates its application on anaerobic granules of three different types (collected from brewery, cannery and dairy wastewater treatment plants). Outer layers, in particular, could be selectively sheared as confirmed by FISH and TRFLP. Further analysis with 454 pyrosequencing showed that a shift in dominant population from presumptive fermenters (such as Bacteroidales and Anaerolinea) in outer layers to syntrophs (such as Syntrophomonas and Geobacter) in inner layers, with progressive changes through the depth. The method was further leveraged through covariance based deep metagenomic sequencing, with metagenomic analysis used so far to align phylogenetic information. This leveraged the shear based method to provide covariance information for the metagenomic analysis. Shear based phylogenetic and metagenomic aligned well internally and with cryosection-FISH analysis. Information provided could be used with more specific probes (particularly Bacteroidales and Anaerolinea) to confirm that these organisms were key fermenters and highly abundant in outer layers. This study indicated that fermenters were a relatively diverse but discrete population within the granule. Further analysis of the metagenomic information is required to identify roles of specific microbes. The phylogenetic approach was also used in a reactor study with different feeds (gelatine, glucose, VFA) to identify how the microbial population shifted during growth of fermenters. While physical strength was not influenced, the III"|"P a g e " % dominant fermentative groups were strongly impacted by the feed matrix, and inner layer community less changed, but still substantially affected.

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Size distribution model for methanogenic granules from full scale UASB and IC reactors

Cited by 65 publications

References 0 publications

Enhancement of granulation and start‐up in the anaerobic sequencing batch reactor

Enhancement of granulation and start‐up in the anaerobic sequencing batch reactor

Characteristics of Inner Cycle Flow Rate in Internal Circulation (IC) Anaerobic Reactor under Different Conditions by Fluent Method

Microbial Ecology of Fermentative Microbes in Anaerobic Granules

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