A Novel Approach for Anaerobic Treatment of Food Waste under \nPsychrophilic Temperature
Notice bibliographique
Résumé
Food waste (FW) has become a significant concern because it can cause serious environmental pollution and greenhouse gas emissions, and hence investigating advanced methods to recycle \nfood waste into energy and materials is of immense importance. Food waste has a high energy potential and excellent biodegradability, and high-water content. As a result, food waste can be treated by anaerobic technology that allows efficient energy recovery and reduces the environment's carbon footprint. However, in cold regions like Canada, mesophilic anaerobic treatment (30–35°C) can be energy intensive. Therefore, in this study, a novel approach has been established to treat food waste at a lower operating temperature. The objective of the study is to develop a sustainable system to treat food waste at a lower ambient \ntemperature since climatic conditions in Canada are more suited for psychrophilic (1-20°C) temperatures rather than mesophilic (30–35°C) anaerobic treatment. Low temperature has a negative impact on cellular processes during anaerobic treatment, making \nsubstrates unavailable to microbes. Hence, this study introduced a novel biogas recirculation strategy to overcome the thermodynamic constraints at lower temperatures. Food waste was collected exclusively from the residential area of downtown Montreal near the \nConcordia campus for three months. The collected food waste sample was tested under anaerobic treatment conditions over a time period of 30 days to determine the biomethane generation \npotential of food waste at mesophilic (30–35ºC) and psychrophilic (<20ºC) temperatures. In order to investigate the feasibility of the anaerobic treatment potential of food waste under psychrophilic \ntemperature and evaluate the efficiency of the biogas recirculation technique for enhanced biomethane production and system stability, batch tests were carried out on food waste in different trials. The anaerobic treatment potential of food waste under mesophilic conditions was examined for comparison. The impact of different substrate-to-inoculum ratios (0.5, 0.75, 1.0, 1.5, 2.0, and 4.0) and six different total solid percentages (5%, 10%, 12%, 15%, 18%, 20%) under mesophilic (30–35ºC) and psychrophilic (1-20ºC) temperatures were investigated for evaluating the optimum conditions for anaerobic treatment of food waste. Additionally, to evaluate the effect of particle size distribution on methane yield, food waste samples were generated using two different particle size \ndistributions: (1) majority of particle sizes less than 2mm and (2) majority of particle sizes larger than 2mm. \nMethane concentrations in the produced biogas were found to be 69%-94% under mesophilic anaerobic treatment, and methane concentration was observed between 68%-93% under \npsychrophilic anaerobic treatment with methane recirculation which was close to mesophilic treatment. The COD removal efficiency was found to be between 40% and 79% at mesophilic anaerobic treatment, while the removal of COD ranged from 34% to 82% for psychrophilic anaerobic treatment with biogas recirculation. A maximum reduction of 91% in volatile solids(VS) was observed under mesophilic anaerobic treatment, whereas the highest VS reduction was found to be 92% after psychrophilic anaerobic treatment with biogas recirculation. Furthermore, a larger particle diameter has no major impact on methane production. Thus, the biogas recirculation approach eliminates the need for energy-intensive mechanical particle size reduction. In conclusion, the biogas recirculation technique at psychrophilic conditions has demonstrated improved methane generation and resulted in higher VS reduction and COD removal efficiency comparable to the results obtained from the mesophilic anaerobic treatment. It is evident that applying anaerobic digestion systems with biogas recirculation under psychrophilic conditions could have significant potential in providing economically feasible and energy-efficient options for treating food waste in cold regions. However, further study will be required to develop a comprehensive guideline in this field.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 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 source (Gemma direct ou Codex distillé), 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 ».