Notice bibliographique
Résumé
Alberta's industrial and power sectors have many facilities classified as large emitters, with high-concentration carbon dioxide emissions from large point sources. Carbon capture and storage (CCS) reduces high-concentration carbon dioxide emissions from large point sources. CCS is a technically feasible technology that reduces greenhouse gas emissions in existing industries, and is recognized as a key factor in reaching international climate change targets. Alberta hosts two commercial-scale CCS projects funded by the provincial government and private industry. However, even with regulatory approvals for CCS projects, including the province's property right to subsurface pore space for CO2 sequestration, future CCS commercial-scale projects are non-existent. CCS deployment is often obstructed by high project costs and risks in developing an emerging technology to commercial scale. Recent carbon pricing in Alberta may provide an incentive for investment in CCS and deployment. This research includes a Multiple Account Benefit-Cost Analysis of carbon capture and storage projects in Alberta, from the perspective of Albertans. There is a significant cost to private firms and industry to invest in CCS. However, as carbon prices escalate to $50 per tonne by 2022, CCS becomes more economical for the cement industry, and hydrogen processing, ammonia, and chemical production. When impacts in the taxpayer, environment, social, and economic activity accounts are considered, there is an overall benefit to Albertans to reduce carbon emissions with CCS. Regardless, public perception of CCS projects remains a crucial factor. Recent public opposition to a CCS pilot project in Alberta demonstrates the power of negative public opinion to cancel projects, and should not be underestimated. Both industry and the government need to ensure trust and a sense of fairness is established when engaging with communities regarding CCS initiatives. To reduce barriers to CCS development and increase investment in CCS, a policy strategy is needed. The policy strategy needs to address both the market failures that lead to pollution and an underinvestment in research. Therefore, in addition to carbon pricing, environmental taxation such as tax credits specifically for CCS projects can encourage research and development. To also signal government support to the public and investors, existing low-carbon and clean-energy projects that are incentivized by provincial and federal governments should extend to include CCS in both the industrial and power sectors. With recent carbon pricing, this research provides the opportunity to reexamine CCS in Alberta and consider complementary policies for CCS deployment that can benefit Albertans as a whole.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,006 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».