Improving leach bed reactor design for medium-chain fatty acid production from food waste at room-temperature.
Notice bibliographique
Résumé
Food waste treatment is an urgent problem which if addressed can make substantial reductions in global greenhouse gas emissions while recovering energy, nutrients, and valuable biomolecules. While anaerobic digestion has become more common in recent years, digesters are expensive to operate, and renewable natural gas is too costly to compete with fossil natural gas in many markets. Acidogenic or dark fermentation is a potential treatment method for food waste which generates hydrogen and fatty acids as products, which are both more valuable on a molar basis than natural gas. Acidogenic fermentation can be performed in leach bed reactors which use less water, less energy and less space than stirred tank reactors. \nThis thesis addresses several questions related to how leach bed reactors performing acidogenic fermentation operate under relatively extreme conditions. The goal of this is to provide insights which will reduce the risk of building pilot scale fermenters which are next step in commercializing this technology. Clogging is a common problem cited by authors studying leach bed reactors and will certainly be a challenge as the scale of reactors increases. A study of clogged reactors revealed evidence that clogged reactors encourage different bacterial cultures than unclogged reactors and that in unclogged reactors hydrogen production is favoured over acid production. Further, if a small disturbance to the container of food waste in a leach bed reactor is made once per day clogging can be prevented, greatly increasing biogas production. \nFor many applications such as the generation of bioplastic and the biorefining of commodity fatty acids the production of acids over biogas is preferred and the generation of medium-chain fatty acids over short-chain fatty acids is ideal. Medium-chain fatty acids can be generated in acidogenic fermenters with low concentrations of ethanol present, and low temperatures (10-25°C) have been shown to improve the ratio of medium chain to short chain fatty acids. Low-temperature chain elongation was tested in a leach bed reactor and although a good medium-chain to short-chain fatty acid ratio was obtained, acid yield was not competitive with similar mesophilic reactors. These studies suggest that a pilot-scale acidogenic fermentation could effectively produce hydrogen at low temperature and a high organic loading rate if a small disturbance to the food waste container was incorporated, but short- and medium-chain fatty acid production is strongly affected by many inhibitory factors which must be considered during reactor design.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».