sources
Data license: CC-BY
2 rows where datasetId = 6129 sorted by id descending
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id ▲ | name | description | createdAt | updatedAt | datasetId | additionalInfo | link | dataPublishedBy |
---|---|---|---|---|---|---|---|---|
29198 | Energy Institute Statistical Review of World Energy (2023); Vaclav Smil (2017) | { "link": "https://www.energyinst.org/statistical-review/ ; https://vaclavsmil.com/2016/12/14/energy-transitions-global-and-national-perspectives-second-expanded-and-updated-edition/", "retrievedDate": "2023-06-27", "additionalInfo": "The Energy Institute Statistical Review of World Energy analyses data on world energy markets from the prior year.\n\nThe Energy Institute Statistical Review of World Energy analyses data on world energy markets from the prior year. Previously produced by BP, the Review has been providing timely, comprehensive and objective data to the energy community since 1952.\n\n", "dataPublishedBy": "Energy Institute Statistical Review of World Energy (2023); Energy Transitions: Global and National Perspectives, 2nd edition, Appendix A, Vaclav Smil (2017)" } |
2023-11-07 09:43:29 | 2023-12-14 12:11:42 | Global Primary Energy (Smil & EI, 2023) 6129 | The Energy Institute Statistical Review of World Energy analyses data on world energy markets from the prior year. The Energy Institute Statistical Review of World Energy analyses data on world energy markets from the prior year. Previously produced by BP, the Review has been providing timely, comprehensive and objective data to the energy community since 1952. | https://www.energyinst.org/statistical-review/ ; https://vaclavsmil.com/2016/12/14/energy-transitions-global-and-national-perspectives-second-expanded-and-updated-edition/ | Energy Institute Statistical Review of World Energy (2023); Energy Transitions: Global and National Perspectives, 2nd edition, Appendix A, Vaclav Smil (2017) |
29197 | Energy Institute Statistical Review of World Energy (2023) | { "link": "https://www.energyinst.org/statistical-review/", "retrievedDate": "2023-06-27", "additionalInfo": "This dataset comprises of a combination of data from Appendix A of Vaclav Smil's Updated and Revised Edition of his book, 'Energy Transitions: Global and National Perspectives' (2017) and the Energy Institute Statistical Review of World Energy.\n\nAll data prior to the year 1965 is sourced from Smil (2017). All data from 1965 onwards, with the exception of traditional biomass is sourced from the Statistical Review. Smil's estimates of traditional biomass are only available until 2015. For the years 2016 onwards, we have assumed a similar level of traditional biomass consumption. This is approximately in line with recent trends in traditional biomass from Smil's data.\n\nOur World in Data has normalized all Statistical Review fossil fuels data to terawatt-hours (TWh) using a conversion factor of 1,000,000 / 3,600 (~277.778) to convert from exajoules (EJ) to TWh.\n\nThis dataset includes primary energy data using two methodologies:\n(1) 'direct' primary energy, which does not take account of the inefficiencies in fossil fuel production. Fossil fuel data is compared to electricity generation (not in input equivalents) of nuclear and renewables.\n(2) 'substitution' primary energy, which does take account of inefficiencies in fossil fuel production. This converts non-fossil energy to their 'input equivalents': The amount of primary energy that would be needed if they had the same inefficiencies as fossil fuels. This is the methodology adopted by the Statistical Review when all data is compared in exajoules.\n\nThe Energy Institute Statistical Review of World Energy analyses data on world energy markets from the prior year.\n", "dataPublishedBy": "Energy Institute Statistical Review of World Energy (2023)" } |
2023-11-07 09:43:28 | 2023-12-14 12:11:32 | Global Primary Energy (Smil & EI, 2023) 6129 | This dataset comprises of a combination of data from Appendix A of Vaclav Smil's Updated and Revised Edition of his book, 'Energy Transitions: Global and National Perspectives' (2017) and the Energy Institute Statistical Review of World Energy. All data prior to the year 1965 is sourced from Smil (2017). All data from 1965 onwards, with the exception of traditional biomass is sourced from the Statistical Review. Smil's estimates of traditional biomass are only available until 2015. For the years 2016 onwards, we have assumed a similar level of traditional biomass consumption. This is approximately in line with recent trends in traditional biomass from Smil's data. Our World in Data has normalized all Statistical Review fossil fuels data to terawatt-hours (TWh) using a conversion factor of 1,000,000 / 3,600 (~277.778) to convert from exajoules (EJ) to TWh. This dataset includes primary energy data using two methodologies: (1) 'direct' primary energy, which does not take account of the inefficiencies in fossil fuel production. Fossil fuel data is compared to electricity generation (not in input equivalents) of nuclear and renewables. (2) 'substitution' primary energy, which does take account of inefficiencies in fossil fuel production. This converts non-fossil energy to their 'input equivalents': The amount of primary energy that would be needed if they had the same inefficiencies as fossil fuels. This is the methodology adopted by the Statistical Review when all data is compared in exajoules. The Energy Institute Statistical Review of World Energy analyses data on world energy markets from the prior year. | https://www.energyinst.org/statistical-review/ | Energy Institute Statistical Review of World Energy (2023) |
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CREATE TABLE "sources" ( "id" INTEGER PRIMARY KEY AUTOINCREMENT, "name" VARCHAR(512) NULL , "description" TEXT NOT NULL , "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP , "updatedAt" DATETIME NULL , "datasetId" INTEGER NULL, additionalInfo TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.additionalInfo')) VIRTUAL, link TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.link')) VIRTUAL, dataPublishedBy TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.dataPublishedBy')) VIRTUAL, FOREIGN KEY("datasetId") REFERENCES "datasets" ("id") ON UPDATE RESTRICT ON DELETE RESTRICT ); CREATE INDEX "sources_datasetId" ON "sources" ("datasetId");