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Record W2807543116 · doi:10.7939/r3513v908

Using biosolids as a water source in non-catalytic hydrolysis reactions for biofuel production

2017· article· en· W2807543116 on OpenAlexaboutno aff
Lin Xia

Bibliographic record

VenueUniversity of Alberta Library · 2017
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsBiosolidsBiofuelEnvironmental scienceProduction (economics)Pulp and paper industryWaste managementHydrolysisCatalysisBioenergyChemistryEnvironmental engineeringEngineeringEconomicsOrganic chemistry

Abstract

fetched live from OpenAlex

Biosolids are residues produced from the treatment of municipal sludge and are rich in organic materials. The growing volume of biosolids and concerns over microbial safety highlight the difficulties associated with biosolids disposal. Canada generates about 660,000 dry tons of biosolids annually,[1, 2] which is becoming an environmental issue. The biosolids used in this study are semisolids containing mostly water. Biosolids have difficulty settling, and the microbes and heavy metal content adds complexity to biosolids disposal. Furthermore, the cost of biosolids management accounts for more than half of the total operating cost of a wastewater treatment facility. Currently, solutions for safe disposal and utilization of biosolids have become ever more diverse, especially its application in energy recovery and biofuel production. A two-step lipid pyrolysis approach has been designed to be a sustainable biofuel technology that can widely use renewable lipid feedstocks. Thermal hydrolysis will convert lipids into protonated fatty acids, which later can be used as feedstock for pyrolysis to produce hydrocarbon-based drop-in fuels (Indistinguishable from petroleum-based hydrocarbons). Also, the hydrolysis process promotes the settling of biosolids. Several studies have investigated the thermal hydrolysis of brown grease with water, but nothing has been reported on using biosolids as the water source in the hydrolysis of brown grease. The primary goal of this study was to investigate the possibility of utilizing water and organic materials in biosolids for the hydrolysis process. The first objective of this research was to characterize the biosolids (water concentration >96%) and investigate the hydrolysis of unamended biosolids alone. The free fatty acids(FFA) in the hydrolysate were solvent extracted and analyzed to determine the impact of the hydrolysis on FFA %. The results showed that the quantity of lipid materials in biosolids following hydrolysis was too small but still can contribute for substantial hydrocarbon production. And the settling performance of the hydrolysates was excellent. In a second study, a renewable lipid feedstock, brown grease, was blended with biosolids to explore the hydrolysis performance of using biosolids as a substitute for water to hydrolyze brown grease, with regards to FFA% in the recovered lipid phase of hydrolysate and the FFA conversion. Different pH, reaction time, and temperature for hydrolysis were studied. The results showed the performance of the biosolids was similar to distilled water in terms of phase separation, FFA% and FFA conversion. The third research objective focused on the quality of the biosolids-hydrolyzed brown grease lipid phase influenced by the temperature. The hydrolysis was conducted at three different temperatures, starting from 280°C, and at a water-to-oil ratio of 5:1. Sulfur, nitrogen and other compounds were analyzed. Biosolids performed similarly to water in terms of free fatty acid conversion, but had slightly elevated sulfur and nitrogen content in the product.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

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 communication0.0000.001
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 head0.016
GPT teacher head0.206
Teacher spread0.190 · 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 teacher head, 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
Published2017
Admission routes1
Has abstractyes

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