MétaCan
Menu
Retour à la cohorte
Enregistrement W1502386010 · doi:10.1111/aepr.12030

Comment on “<scp>J</scp>apan's Post‐<scp>F</scp>ukushima Energy Policy Challenges”

2013· article· en· W1502386010 sur OpenAlexaboutno aff
Hubert de Mestier du Bourg

Notice bibliographique

RevueAsian Economic Policy Review · 2013
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueRisk Perception and Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNuclear powerFossil fuelLiquefied natural gasRaw materialElectricityGreenhouse gasEconomicsElectricity generationNatural resource economicsNatural gasEconomyWaste managementPower (physics)EngineeringChemistry

Résumé

récupéré en direct d'OpenAlex

The Japanese economy had to face an unprecedented challenge after the Great East Japan Earthquake. Since Koyama (2013) provides an excellent analysis of the energy situation in Japan, I can add just a few comments. As Koyama (2013) emphasizes, the previous contribution to the energy mix from nuclear power plants was replaced, after the tsunami, by a huge increase in fossil fuels purchased on international markets. Liquefied natural gas (LNG) imports, in particular, increased to probably around 90 million MT in 2013. Imports of LNG are quite diversified geographically. The cost of these additional LNG imports is very high. A partial return to nuclear power in the present power energy mix seems very likely. Imports of crude oil and petroleum products for power generation also rose substantially after the shutdown of the nuclear plants, being about 4.4 million Bbl. d−1 in 2012. Crude oil imported for power plants is used for direct burning, of course a waste of raw materials and an additional source of greenhouse gases. If Japan had succeeded in the past to consistently limit the direct burning of oil, they had to revive it, due to the electricity demand growth, even by using old power plants. The incremental CO2 emissions resulting from the additional and unavoidable use of fossil fuels have increased by 15% in 2012, compared with the 1990 (Kyoto Protocol) levels. These emissions will decrease when some nuclear plants are re-started. Different scenarios are being envisaged regarding the future contribution of nuclear power in the energy mix, without any final plan yet adopted. Whether the contribution of nuclear power will materialize as a contribution of 15% or 25% (or more?) will be important for electricity prices, particularly for industry. The contribution of fossil fuels, particularly LNG, in the energy mix will remain very substantial until 2030 and later. Alternative sources of energy, for example, photovoltaic and wind power, increase slowly on the market, or even to be industrialized (methane hydrates), not to mention geothermal power, which could be developed more. Japan will most likely start importing LNG produced from shale gas from British Columbia around 2017/2018, at a cost that is likely to be lower than the current cost of other LNG imports. Later, imports from Russia's conventional gas and liquids and from Australia will also increase. Imported today mainly from the Middle East (80% or more), liquid hydrocarbons could also become geographically more diversified, as is the case for mainland China. The development of the gas and power industries have actually been engineered and managed in Japan by the private sector (gas and power companies) within their own territory at a huge cost. There are currently 29 LNG import terminals (with another five to come soon) and an impressive number of thermal power plants and LNG tankers. Electricity rates are comparatively higher in Japan than in other developed countries, and the Ministry of Economics, Trade and Industry (METI) initiated a deregulation policy a few years ago to trigger competition and to lower prices in the electricity market. What is the future of deregulation in Japan? The development of Independent Power Producers (IPPs) is a real challenge, due to the dominant position of the large power companies, particularly in the distribution (network management) sector. Surprisingly, if we exclude gas piping in the largest metropolitan areas (Tokyo, Osaka, Nagoya) and those between Sendai, Niigata, and soon Toyama, there is still no independent main gas trunkline distribution network supplying Honshu and Kyushu, not to mention Hokkaido and Shikoku. This is a remarkable difference when compared with Japan's neighbors, Taiwan, South Korea, and China, or other industrialized countries, for example, France, where governments and national companies have spent considerable time, money, and effort to cover their territories with a network of pipelines transporting gas to municipalities and industries. A structural reform would allow for the creation of an extensive, independent network of gas pipes in Japan (useful in the case of emergencies like the March 11, 2011 earthquake), and an independent electricity network management system. A new and independent Nuclear Regulatory Authority (NRA) was created by law in June 2012. This new and extremely important institution has been given the authority to approve the re-start of nuclear reactors. The NRA maintains close contacts with similar nuclear safety authorities in other countries like the USA, France, the UK, and Canada. Japan's Institute of Energy Economics has shown that on the assumption that 26 nuclear reactors are re-started, the maximum case they envisage, imports of fossil fuels would be reduced by 1.8 trillion yen, CO2 emissions would be reduced to 98 million tons, and the final effect on price of electricity would be about 2 yen/kwh. The effect on Japanese economy would, therefore, be considerable. The option of restarting nuclear plants remains, of course, second to the goal of improving and enforcing safety standards. New safety measures defined by NRA will be enforced as from mid-July 2013. As the procedures to allow the restarting of nuclear plants is now well defined, the authorization process may now start. Already several power companies have registered their applications for re-starting about 10 power plants in total with the NRA.

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)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,704
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
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 savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,011

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 Opus0,039
Tête enseignante GPT0,325
Écart entre enseignants0,286 · 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
GenreAutre

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

En bref

Citations1
Publié2013
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAsian Economic Policy ReviewMême sujetRisk Perception and ManagementTravaux en français237 207