Skip to main content
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
/content/aip/journal/jrse/2/5/10.1063/1.3486072
1.
1.M. McElroy, X. Lu, C. Nielson, and Y. Wang, Science 325, 1378 (2009).
http://dx.doi.org/10.1126/science.1175706
2.
2.T. Karl and K. Trenberth, Science 302, 1719 (2003).
http://dx.doi.org/10.1126/science.1090228
3.
3.P. Groisman, R. Knight, T. Karl, D. Easterling, B. Sun, and J. Lawrimore, J. Hydrometeorol. 5, 64 (2004).
http://dx.doi.org/10.1175/1525-7541(2004)005<0064:CCOTHC>2.0.CO;2
4.
4.J. Holton, An Introduction to Dynamic Meteorology(Academic, New York, 2004), p. 535.
5.
5.A. Betz, Introduction to the Theory of Flow Machines(Pergamon, Oxford, 1966).
6.
6.N. Nakicenovic and R. Swart, Emissions Scenarios. A Special Report of WorkingGroup III of the Intergovernmental Panel on Climate Change (CambridgeUniversity Press, Cambridge, England, 2000), p. 612.
7.
7.S. Manabe and R. Stouffer, J. Geophys. Res., [Oceans] 85, 5529 (1980).
http://dx.doi.org/10.1029/JC085iC10p05529
8.
8.M. Mastepanov, C. Sigsgaard, E. Dlugokencky, S. Houweling, L. Ström, M. Tamstorf, and T. Christensen, Nature (London) 456, 628 (2008).
http://dx.doi.org/10.1038/nature07464
9.
9.F. Chapin, P. Matson, and H. Mooney, Principles of Terrestrial EcosystemEcology (Springer-Verlag, NewYork, 2002).
10.
10.IPCC, Climate Change 2007 (AR4).The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of theIntergovernmental Panel on Climate Change, edited by S. Solomon, D. Qin, and M. Manning (Cambridge UniversityPress, UK/New York, 2007).
http://aip.metastore.ingenta.com/content/aip/journal/jrse/2/5/10.1063/1.3486072
Loading
/content/aip/journal/jrse/2/5/10.1063/1.3486072
Loading

Data & Media loading...

Loading

Article metrics loading...

/content/aip/journal/jrse/2/5/10.1063/1.3486072
2010-09-01
2016-07-27

Abstract

The use of wind energy reduces our greenhouse gas emissions into the atmosphere. In this study, we proposed a generic power-law relationship between global warming and the usable wind energy (Betz’s law). The power law index (, region dependent) is then determined using simulated atmospheric parameters from eight global coupled ocean-atmosphere climate models (CGCMs). It is found that the power-law relationship holds across all eight climate models and also is time scale independent. Reduction of wind power scales with the degree of warming according to a generic power-law relationship. Thus, the earlier we switch to clean energy, and thereby decrease the global climate warming trend, the more cost-effective will be the harnessing of wind energy. This relationship is an area-averaged consequence of the reduced poleward temperature gradient as the climate warms during the 21st Century; it does not imply spatial uniformity over a region of interest.

Loading

Full text loading...

/deliver/fulltext/aip/journal/jrse/2/5/1.3486072.html;jsessionid=pSLzNuEMPD8vpFwgL9_onYoV.x-aip-live-03?itemId=/content/aip/journal/jrse/2/5/10.1063/1.3486072&mimeType=html&fmt=ahah&containerItemId=content/aip/journal/jrse
true
true

Access Key

  • FFree Content
  • OAOpen Access Content
  • SSubscribed Content
  • TFree Trial Content
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
/content/realmedia?fmt=ahah&adPositionList=
&advertTargetUrl=//oascentral.aip.org/RealMedia/ads/&sitePageValue=jrse.aip.org/2/5/10.1063/1.3486072&pageURL=http://scitation.aip.org/content/aip/journal/jrse/2/5/10.1063/1.3486072'
Right1,Right2,Right3,