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Enregistrement W3199859489 · doi:10.55016/ojs/sppp.v11i1.53162

The Potential for Canadian LNG Exports to Europe

2018· article· en· W3199859489 sur OpenAlexaffabout
Jennifer Winter, Sarah Dobson, G. Kent Fellows, Dexter Lam, Paul Craig

Notice bibliographique

RevueThe School of Public Policy Publications · 2018
Typearticle
Langueen
DomaineEnergy
ThématiqueGlobal Energy Security and Policy
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésInternational tradeEconomicsEconomyBusiness

Résumé

récupéré en direct d'OpenAlex

Offering numerous ports with the shortest shipping distances to Europe from North America, Eastern Canada has the potential to be a player in the European liquefied natural gas (LNG) market. However, the slower-moving nature of proposed projects on Canada’s East Coast, combined with a glut of global LNG liquefaction capacity, means it will likely be difficult for Canadian projects to gain a foothold in the market in the near term. As just one player in the worldwide competitive market, Eastern Canada will face challenges keeping up with faster-moving and lower-cost entrants, particularly those on the U.S. Gulf and East Coasts. Geography, too, is a double-edged sword for proposed projects in Quebec and the Maritime provinces. While they offer the benefit of proximity to Europe, they are located significant distances from Canada’s major natural-gas-producing provinces of British Columbia and Alberta. Further, there are no direct natural gas pipelines connecting proposed projects to supply sources in either Western Canada or the Northeastern U.S. This places these projects at a significant disadvantage relative to projects on the U.S. Gulf Coast. The latter are located in a petrochemical hub, complete with major infrastructure connections to numerous sources of natural gas supply. Also working against Eastern Canadian LNG development is anti-pipeline and anti-fossil fuel sentiments across the country. These sentiments are slowing Canada’s regulatory process and have also contributed to the establishment of moratoriums on hydraulic fracturing in three Maritime provinces. This virtually rules out local supply sources of natural gas for export from Canada’s East Coast in the near term. None of this necessarily means, however, that Eastern Canada’s future in LNG exports is doomed. Reason for optimism remains and it centres on indications that European countries are looking to diversify their natural gas supply sources and are prioritizing geopolitically stable and environmentally responsible supplies. Canada is a world benchmark for that kind of stability, thus making it a dependable, reliable supplier unshaken by whichever way the geopolitical winds are blowing. The kind of stability Canada offers will be key to obtaining long-term LNG supply contracts and the financial capital accompanying them to build pipelines and LNG export facilities. In 2015 the NEB granted export licenses for six proposed LNG export facilities on Canada’s East Coast. Since then, one project was cancelled and the remaining five have repeatedly pushed back their timelines. This has left Canada in a limbo of sorts, but it can extricate itself. Market entry in the 2020s is within reach and aligns with a current opening in the European LNG contract market. Canada must move faster, however, if it is going to compete with the U.S., which currently has two operating LNG export facilities and an additional four under construction. The longer Canada’s process, the more likely that, for example, countries in Europe wanting to wean themselves off unstable Russia as a supplier, will turn to the U.S. rather than Canada. Windows of opportunity continually open and close for entrance to any LNG market. For Eastern Canada to compete in the European market it will need secure supplies of natural gas, and investment and long-term contracts to shore up the financing for building the necessary export infrastructure. For all those things to work in harmony, Canada must pick up the pace and deviate from the status quo or risk losing out entirely.

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 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)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,963
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0020,000
Communication savante0,0000,000
Science ouverte0,0020,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

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 Opus0,026
Tête enseignante GPT0,290
Écart entre enseignants0,264 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2018
Routes d'admission2
Résumé présentoui

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