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Global Assessment of High-Altitude Wind Power
Open accessAbstract
The available wind power resource worldwide at altitudes between 500 and 12,000 m above ground is assessed for the first time. Twenty-eight years of wind data from the reanalyses by the National Centers for Environmental Prediction and the Department of Energy are analyzed and interpolated to study geographical distributions and persistency of winds at all altitudes. Furthermore, intermittency issues and global climate effects of large-scale extraction of energy from high-altitude winds are investigated.
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Citations
Cited by
Towards an electricity-powered world
Armaroli, N., & Balzani, V. (2011) · Energy & Environmental Science · doi:10.1039/c1ee01249e · Cited by 488
Airborne Wind Energy Systems: A review of the technologies
Cherubini, A., Papini, A., Vertechy, R., & Fontana, M. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.07.053 · Cited by 346
Zhao, Z., Pu, X., Du, C., Li, L., Jiang, C., Hu, W., & Wang, Z. L. (2016) · ACS Nano · doi:10.1021/acsnano.5b07157 · Cited by 326
Thermodynamic Foundations of the Earth System
Kleidon, A. (2016) · doi:10.1017/cbo9781139342742 · Cited by 133
Metadata
- Authors
- Archer, C. L., & Caldeira, K.
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2009-05-26
- Volume
- 2
- Issue
- 2
- Pages
- 307-319
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W2000171002
- Cited by
- 231
- References
- 0
- FWCI
- 22.61
- Type
- journal article
- Language
- en
- Open access
- gold
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- Archer, C. L., & Caldeira, K. (2009). Global Assessment of High-Altitude Wind Power. Energies. https://doi.org/10.3390/en20200307
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
