Wind Energy in Vermont: A Meteorologist’s Perspective NVDA Wind Study Committee Barton, VT 9/25/13 Dr. Jason Shafer Associate Professor of Atmospheric Sciences Lyndon State College Jason.Shafer@lyndonstate.edu 1 Annual Wind Resource Climatology 2 3 http://www.windpoweringamerica.gov/images/windmaps/us_windmap_80meters.jpg http://www.windpoweringamerica.gov/images/windmaps/vt_80m.jpg 4 http://www.northeastwind.com/resources/wind-resource-maps 5 6 http://www.northeastwind.com/resources/wind-resource-maps http://www.northeastwind.com/resources/wind-resource-maps 7 http://www.northeastwind.com/resources/wind-resource-maps 8 Seasonal and Diurnal Climatology 9 Newport Island Pond Lyndonville ~15 Stations in the NEK 10 with wind data All below 1400’ elevation 10 Average Annual Wind Speed (2012) 45.0 39.3 40.0 35.0 Speed (MPH) 30.0 25.0 20.0 15.0 10.0 8.1 6.7 5.0 5.2 4.8 Lyndonville Island Pond 0.0 Burlington Newport Mt. Washington 11 Mt. Washington, NH: Average Monthly Wind Speed (1982-2011) 55.0 52.0 51.0 50.2 50.0 45.9 45.8 45.0 39.7 39.4 MPH 40.0 35.0 32.9 32.4 31.3 29.4 30.0 27.3 25.0 20.0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 12 Newport, VT (KEFK), 2012 Average Seasonal Wind 8.00 7.57 Wind Speed (MPH) 7.00 6.96 6.23 6.00 5.89 5.00 4.00 Winter Spring Summer Fall 13 Newport, VT (KEFK), Avg 2012 Diurnal Wind Speed 10.00 9.00 Speed (MPH) 8.00 7.00 6.00 5.00 4.00 1:00 AM 4:00 AM 7:00 AM 10:00 AM 1:00 PM 4:00 PM 7:00 PM 10:00 PM 14 Wind Rose climatology for Lyndonville, VT Source: AWS True Wind 15 Burlington, VT Wind Direction Frequency Carrera et al. 2009 Similar to Lyndonville, the two dominant wind directions are from the south and northwest. 16 Localized Effects 17 Wind Energy Production Pe 1 2 C p V AV 3 Wind energy production is very sensitive to small changes in wind speed, to the cube of the wind speed. 18 IPCC 2012 19 Fig. 2. Hourly vertical profiles of horizontal wind speed from HRD conical scans showing evening development of the LLJ near Lamar, CO, on 15 Sep 2003. Wind speed (m s−1) on horizontal axis, and height (m) on vertical axis. Profiles are color coded by time (UTC), which is 7 h ahead of local (mountain) standard time, so that 0100 UTC about sunset and 0700 UTC is midnight. Vertical resolution is 5 m. Turbine-rotor layer is indicated by horizontal dotted lines. (Figure courtesy of the American Meteorological Society.) Banta et al. 2013 One of the biggest challenges for producing accurate projections of wind resources is the assumptions made with the vertical profile with height in the lowest layer of the atmosphere; depends on the local terrain features and land-surface environment. 20 This is an example of a localized terrain effect, with the wind flow accelerating through Willoughby Gap; these nuances are impossible to know without collecting data. 21 Percentage of Time Wind Speed Greater Than or Equal to 10 knots (11.4 MPH) (Data from 2012) Mt. Washington 91.2 Island Pond 9.7 Lyndonville 13.6 Newport 17.4 Burlington 29.3 0 10 20 30 40 50 Percent (%) 60 70 80 90 100 22 Climate Change and Local Wind Resources 23 Cold Season Jet Stream Climatology 24 Barnes and Polvani, 2013 Literature supports a shift of the midlatitude jet stream north, in this paper showing the largest migration of the Atlantic jet in Fall and least in Winter. 25 Mt. Washington, NH Average Annual Wind Speed (1970-2011) 50.0 Wind Speed (MPH) 45.0 40.0 35.0 30.0 Average: 39.5 MPH 25.0 Data courtesy Mt. Washington Observatory and Plymouth State University 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 26 Mt. Washingon Yearly Wind Speed Variability (1970-2011) 15.0% 12.1% 11.8% 10.0% 9.3% 9.2% 6.6% 6.2% 5.6% 5.0% 10.6% 9.8% 4.3% 3.9% 5.0% 5.3% 4.3% 2.7% 2.1% 1.9% 0.4% 0.0% 0.0% -0.2% -5.0% -2.6% -3.1% -2.9% -3.2% -2.3% -0.1% -0.7% -2.4% -2.0% -2.5% -3.4% -3.6% -1.4% -3.4% -4.5% -6.3% -10.0% -9.6% -10.0% Average: 5% -15.0% -12.4% -9.5% -12.3% -13.0% 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 Data courtesy Mt. Washington Observatory and Plymouth State University 27 Climate Change and Wind Resources • Observations: – We don’t know the answer, developing field, Global Climate Models need to be downscaled for this application – There will probably be some seasonal shift to wind resources – Year-to-year variability is larger than the long-term climate signal – There do not appear to be any long-term changes atop Mt. Washington 28 References • Banta, Robert M., Yelena L. Pichugina, Neil D. Kelley, R. Michael Hardesty, W. Alan Brewer, 2013: Wind Energy Meteorology: Insight into Wind Properties in the Turbine-Rotor Layer of the Atmosphere from High-Resolution Doppler Lidar. Bull. Amer. Meteor. Soc., 94, 883–902. • Barnes, Elizabeth A. and Lorenzo Polvani, 2013: Response of the Midlatitude Jets, and of Their Variability, to Increased Greenhouse Gases in the CMIP5 Models. J. Climate, 26, 7117-7135. • Carrera, Marco L., John R. Gyakum, Charles A. Lin, 2009: Observational Study of Wind Channeling within the St. Lawrence River Valley. J. Appl. Meteor. Climatol., 48, 2341–2361. • DOE, 2013: Energy Sector Vulnerabilities to Climate Change and Extreme Weather: http://energy.gov/sites/prod/files/2013/07/f2/20130716Energy%20Sector%20Vulnerabilities%20Report.pdf • IPCC, 2012: Renewable Energy Sources and Climate Change Mitigation: Special Report of the IPCC. Cambridge University Press. 1088 p. Available: www.ipcc.ch/pdf/specialreports/srren/SRREN_Full_Report.pdf • NOAA ESRL Web Plotting Analysis Tools: http://www.esrl.noaa.gov/psd/cgibin/data/composites/printpage.pl 29