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World Energy Outlook 2004
Abstract
Oil prices have broken $50 a barrel, soaring Chinese demand is rocking energy markets, and climate-destabilising carbon emissions grow apace. The World Energy Outlook 2004 offers the statistical background and analytical insight out of which any solution to the world’s energy problems will have to be crafted. It includes exhaustive energy statistics and projections till the year 2030, incisive analysis of the high oil-price phenomenon and the reliability of oil reserves data, a hard look at Russia’s future as an energy superpower, an “alternative” scenario for a more sustainable energy world, and a new way of indexing the links between energy and development
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Citations
Cited by
Oxy-fuel combustion technology for coal-fired power generation
Buhre, B. J. P., Elliott, L. K., Sheng, C. D., Gupta, R. P., & Wall, T. F. (2005) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2005.07.001 · Cited by 1,542
Pretreatment: the key to unlocking low‐cost cellulosic ethanol
Yang, B., & Wyman, C. E. (2008) · Biofuels, Bioproducts and Biorefining · doi:10.1002/bbb.49 · Cited by 1,524
Macedo, I. C., Seabra, J. E. A., & Silva, J. E. A. R. (2008) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2007.12.006 · Cited by 943
Has Finance Made the World Riskier?
Rajan, R. G. (2006) · European Financial Management · doi:10.1111/j.1468-036x.2006.00330.x · Cited by 913
A guide to life-cycle greenhouse gas (GHG) emissions from electric supply technologies
Weisser, D. (2007) · Energy · doi:10.1016/j.energy.2007.01.008 · Cited by 758
Metadata
- Authors
- International Energy Agency
- Venue
- World Energy Outlook
- Publisher
- OECD
- Published
- 2004-10-26
- ISSN
- 1026-1141 (ISSN-L)
- 2072-5302
- OpenAlex
- W2808099431
- Cited by
- 451
- References
- 0
- FWCI
- 79.36
- Type
- book
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
