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Record W7066766326

Increased energy recovery and enhanced pathogen inactivation through anaerobic digestion of thickened wastewater sludge

2006· dissertation· en· W7066766326 on OpenAlexfundaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2006
Typedissertation
Languageen
FieldEngineering
TopicAnaerobic Digestion and Biogas Production
Canadian institutionsnot available
FundersManitoba Hydro
KeywordsBiosolidsMesophileAnaerobic digestionSewage sludgeWastewaterEnergy recoveryHydrolysisSewage treatmentSewage sludge treatmentResource recovery
DOInot available

Abstract

fetched live from OpenAlex

This study had two objectives: to investigate the possibility of increased energy recovery from anaerobic digestion of sewage sludge and to inactivate pathogens in wastewater sludge by means other than thermophilic temperature.All research was done through numerous lab experiments using wastewater sludge from the North End Water Pollution Control Centre in Winnipeg.It was proposed that toxicity from un-ionized form of VFA could be used in acid mesophilic (38"C) and low-mesophilic (24'C) conditions.The toxicity from the un- ionized form of VFA is based on cytoplasm acidification from a proton released after acid iontzation inside the bacterial cell and anion accumulation inside the cell which may lead to osmotic stress.Batch acid digesters were able to achieve Class A biosolids standards with respect to fecal coliforms concentrations under both operating conditions.When acid digesters were operated in semi-continuous mode, three acid digesters operated in series were needed to achieve Class A level.This was possible in mesophilic conditions only.Effluent from the three mesophilic acid digesters operated in series also showed highest inactivation of Ascaris suum ova from all systems tested, achieving complete inactivation of eggs enclosed in sentinels and2.8o/oviability of free floating eggs.Sludge thickening, which results in sludge flow reduction, was chosen as a method to achieve enhanced energy recovery.To establish optimum solids content in sludge, a series of hydrolysis tests were performed.The tests were to assess the impact of environmental conditions, such as operating temperature and sludge thickness on digestion.Optimum sludge solids content was defined as solids content that does not Abbreviations and Symbols ITPAD -l't digester (thermophilic) of two-phase digestion system 2TPAD -2nd digester (mesophilic) of two-phase digestion system ADanaerobic digestion AHABanaerobic hydrolytic-acidogenic bacteria C -concentration COD -chemical oxygen demand CODinr-influent chemical oxygen demand, mgCOD/l COD"¡¡effluent chemical oxygen demand, mgCOD/l D -diffusion coefficient Fconcentration of degradable particulate COD, mgCOD/l Fo -initial concentration of degradable particulate COD, mgCOD/l Gloss of COD attributed to biogas production, mgCOD/l J-flux fudecay coefficient, d-l K¡¡ -Henry's constant kr, -first-order hydrolysis rate constant, d-l K,saturation constant, mgll MADmesophilic anaerobic digestion MPNmost probable number pnet specific growth rate, d-l pmax -maximum specific growth rate, d-l Pacid phase products, mgCOD/l XVIII Pp -partial pressure PCOD"rn -particulate COD in effluent, mg COD/I PCOD;.¡-particulateCOD in influent, mg COD/I PS -Primary Sludge Q -flow, Vd or m3ld Psrudee -specific gravity of sludge, kgl^t SCODsoluble chemical oxygen demand SRTsolids retention time STPstandard conditions, OoC and I atmosphere pressure Ttemperature TADthermophilic anaerobic digestion T¿¡.-air temperature, oC TCODtotal chemical oxygen demandTdis"r,".-temperature in digester, oCTea.thearth temperature, oC Texchansercotd * temperature on the cold side of the heat exchanger, oC TexchanserHottemperature on the hot side of the heat exchanger, oC Tinco-ins studge -temperature of incoming sludge, oC TPADtemperature-phased anaerobic digestion TStotal solids U-VFAun-ionized form of VFA Vvolume VARvector atlraction reduction XlX VcH¿ -volume of methane produced, m3 CH¿ld VFAvolatile fatry acids VFA"6 -concentration of volatile fatty acids in effluent, mg COD/I VFAinrconcentration of volatile fatty acids in influent, mg COD/I VSvolatile solids VSin -influent mass of volatile solids, kg VS/d VSou, -effluent mass of volatile solids, kg VS/d VSRvolatile solids reduction, oZ WAS -Waste Activated Sludge Xncnconcentration of acidogenic population in digester, mgCOD/l Xcu+concentration of methanogenic population in digester, mgCOD/l Xdeclndecrease in concentration of acidogenic population in digester due to bacterial decay, mgCOD/l XdcH+decrease in concentration of methanogenic population in digester due to bacterial decay, mgCOD/l Xgecroincrease in concentration of acidogenic population in digester due to bacterial growth, mgCOD/l Xgcn+increase in concentration of methanogenic population in digester due to bacterial growth, mgCOD/l Xo -initial concentration of viable acidogenic population in raw sludge, mg COD/I Ytrue yield, mg biomass / mg COD Yob,observed yield, mg biomass / mg COD 4.1 Pathogeninactivation

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.171
Teacher spread0.165 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2006
Admission routes2
Has abstractyes

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