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Enregistrement W6959398958 · doi:10.7939/r3-n6vq-pq32

Comprehensive System-level Assessments of Non-combustion Products from Wastes and By-products of Oil Sands

2024· dissertation· en· W6959398958 sur OpenAlex

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Notice bibliographique

RevueUniversity of Alberta Library · 2024
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueLegal and Regulatory Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOil sandsAsphaltGreenhouse gasProduction (economics)Life-cycle assessmentCarbon footprintCapital costEnergy consumptionEnvironmental impact assessment

Résumé

récupéré en direct d'OpenAlex

Non-combustion products, i.e., those not burned for energy production, have the potential to diversify and enhance the resilience of the oil sands industry in anticipation of reduced fuel demand due to the ongoing decarbonization of the economy. Despite the significance of this transition, there are very few economic and environmental performance assessments of the production processes at a commercial scale. Such information is crucial for the development of an industry centered around non-combustion products. The primary objective of this thesis is to evaluate the economic feasibility and greenhouse gas (GHG) emissions associated with the production of non-combustion products. Techno-economic and life cycle GHG emissions assessments were conducted for three non-combustion products derived from different wastes and by-products of the extraction and processing of oil sands bitumen. Vanadium, obtained from the spent catalysts and petcoke generated during bitumen upgrading, heavy minerals (zircon and titanium minerals) concentrated in froth treatment tailings, and carbon fiber made from asphaltene after bitumen deasphalting were analyzed. Available experimental data was used to scale up the production processes from laboratory scale to commercial operation. First principles were applied to complete the material and energy balances of each relevant operation. The main equipment was sized, and energy consumption was estimated using empirical correlations and information from vendors and manufacturers. With this information, the capital cost of the production processes was calculated. Feedstock, utilities, labor-related, and facility-related costs make up the operating costs. A technoeconomic assessment was performed to estimate the production cost or the internal rate of return (IRR) of the processes. Plant capacities for a base case were defined based on the current generation rate of wastes and by-products, and economies of scale benefits were assessed, among other scenarios. The scope of the life cycle GHG emissions assessment was cradle-to-gate. The boundary system includes the upstream operations from bitumen extraction up to the generation of the waste of the by-product that feeds the production process of the non-combustion products; upstream emissions associated with the production of consumables and the electricity used in the process; and process emissions from the combustion of fuels to provide heat to the process and from the transformation of the feedstock into the final non-combustion product. Recovering vanadium from hydroconversion spent catalyst would cost $9.89/kg V2O5 and emit 10.3 kg CO2eq/kg V2O5, while doing so from petcoke fly ash would cost $18.77/kg V2O5 and generate 26.6 kg CO2eq/kg V2O5. The production cost of asphaltene-based carbon fiber (ACF) was estimated to be $10.16/kg ACF and life cycle GHG emissions to be 16.2 kg CO2eq/kg ACF. Both metrics outperform those of polyacrylonitrile (PAN)-based carbon fiber, which represents about 90% of all the carbon fiber produced worldwide. The IRR of recovering heavy minerals from froth treatment tailings would be 9.8%, considering the current market price of zircon, titanium minerals, and residual bitumen recovered in the process. Life cycle GHG emissions would be 1,499 kg CO2eq/t heavy minerals. The models developed in this study are based on assumptions that introduce uncertainty into the estimated costs and GHG emissions, either because process data unavailability at a commercial scale or because the volatility of economic and GHG emissions factors over the life cycle of the products. Monte Carlo simulations were performed to calculate the more likely range of variation of the model’s outputs considering the variability of the inputs. In addition, sensitivity analysis was conducted to identify those variables that should be estimated more accurately to reduce the uncertainty of the results. This research provides valuable insights into the economic and environmental feasibility of targeted non-combustion products from oil sands, assisting stakeholders, including oil sands operators, waste management companies, researchers, government, and investors in making informed decisions on this activity in Alberta. The results of the study also provide information to the government for policy formulation. The study framework can be adapted to evaluate the performance of other non-combustion products from oil sands wastes and by-products.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,100
Score d'incertitude au seuil0,983

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,012
Tête enseignante GPT0,230
Écart entre enseignants0,218 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle