A Model of a Combined Heat and Power System for SAGD Operations
Notice bibliographique
Résumé
Abstract This paper presents a model of a combined heat and power (CHP) system, also known as cogeneration, for the purpose of analyzing the relationships between electricity generation, steam production, and fuel requirements for the steam assisted gravity drainage process (SAGD) used in bitumen production. The paper provides illustrative examples of assessments of the economics of the CHP process for alternate cogeneration arrangements and input assumptions. The combined heat and power model (CHPM) simulates the operation of a gas turbine - electric generation system with the hot exhaust gases from the turbine being directed to a boiler for steam production for use in SAGD production operations. Alternately, a topping steam turbine - electric generation system with exhaust steam used in SAGD operations is simulated. The model provides estimates of the fuel requirements and electricity generated by the combined process. Illustrative examples of the application of the model provided in the paper include the use of alternate fuels, natural gas and petroleum coke, for the combined production of electricity and bitumen. Introduction Bitumen mining and in situ extraction operations of Alberta are large users of natural gas and are projected to grow substantially over the next decade. However, since the turn of the century, the North American natural gas supply-demand balance has tightened and consequently gas market prices have risen substantially. Consequently, the Canadian Energy Research Institute (CERI) is examining alternate systems and fuels to reduce the cost of steam production for these operations. The Combined Heat and Power Model (CHPM) described in this paper was developed specifically for the economic assessment of combined heat and power (CHP) systems for bitumen extraction by the steam assisted gravity drainage (SAGD) process. It calculates the fuel requirements and electricity generation rates for SAGD operations, which are required for an economic assessment of the operations. The economic analysis is performed in a separate model, the SAGD Supply Cost Model (SSCM), which calculates the supply cost of the extracted bitumen. Description of the CHPM The CHPM simulates the operation of the steam plant of a SAGD operation, both with and without electricity generation. Gas and steam turbine options for the generation of electricity are included (See Figures 1 and 2 respectively). As shown in the figures, mass and heat energy flows of the system are outputs of the model. The principles of conservation of energy and mass are used for the calculation of the flows. For the gas turbine option, Figure 1 shows that natural gas fuel is burned in a gas turbine to produce electricity. Waste heat in the exhaust gases from the turbine is recovered in a boiler, which produces steam for the bitumen extraction process. There is a steam-water separator, which produces 100% quality steam for the extraction process. Water from the separator is returned to the boiler. There is a process unit for the treatment of feed water and an option to return hot water produced by the bitumen extraction operations to this unit for recovery of heat in this stream.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,020 | 0,002 |
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 ».