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Meehl, G.A., Washington, W.M., Arblaster, J.M., Hu, A., Teng, H., Kay, J.E., Gettelman, A., Lawrence, D.M., Sanderson, B.M. and Strand, W.G. (2013) Climate Change Projections in CESM1(CAM5) Compared to CCSM4. Journal of Climate, 26, 6287-6308.
http://dx.doi.org/10.1175/JCLI-D-12-00572.1

has been cited by the following article:

• TITLE: Sustainability of Wind Energy under Changing Wind Regimes—A Case Study

  AUTHORS: Nicole Mölders, Dinah Khordakova, Ralph Dlugi, Gerhard Kramm

  KEYWORDS: Sustainability of Wind Energy, Sensitivity of Wind Energy to Decadal Climate Variations, CESM, Downscaling, Interannual Variability

  JOURNAL NAME: Atmospheric and Climate Sciences, Vol.6 No.2, March 1, 2016

  ABSTRACT: A method was introduced to assess the sustainability of energy production over the lifetime (~20 y) of wind turbines. Community Earth System Model simulations were downscaled for the tourist seasons (mid-May to mid-September) of 2006 to 2012 (CESM-P1) and 2026 to 2032 (CESM-P2) to obtain a reference and projected wind-speed climatology, respectively. The wind speeds served to calculate the potential power output and capacity factors of seven turbine types. CESM-P1 wind-speed climatology, power output, and capacity factors were compared to those derived from wind speeds obtained by numerical weather forecasts for reference to known standard to wind-farm managers. Juneau, Alaska served as a virtual testbed as this region is known to experience changes in wind speeds in response to the Pacific Decadal Oscillation. CESM-P2 suggested about 2% decrease for wind speeds between the speeds at cut-in and rated power, and about 8% - 10% decrease in potential wind-power output. This means that in regions of decadal climate variations, the sustainability of wind-energy production should be part of the decision-making process. The study demonstrated that using mean values of wind-speeds can provide qualitative knowledge about decreases/increases in potential energy production, but not about the magnitude. Using the total individual wind-speed data of all seasons provided the same amount of total power output than summing up the power outputs of individual seasons. The main advantage of calculating individual seasonal wind-power outputs, however, is that it theoretically permits assessment of interannual variability in power output and capacity factors. Comparison to a known standard may help stakeholders in understanding of uncertainty and interpretation of projected changes.