Presentation is loading. Please wait.

Presentation is loading. Please wait.

Wind Energy in Vermont: A Meteorologist’s Perspective NVDA Wind Study Committee Barton, VT 9/25/13 1 Dr. Jason Shafer Associate Professor of Atmospheric.

Published byLorin McGee Modified over 10 years ago

Similar presentations

Presentation on theme: "Wind Energy in Vermont: A Meteorologist’s Perspective NVDA Wind Study Committee Barton, VT 9/25/13 1 Dr. Jason Shafer Associate Professor of Atmospheric."— Presentation transcript:

1 Wind Energy in Vermont: A Meteorologist’s Perspective NVDA Wind Study Committee Barton, VT 9/25/13 1 Dr. Jason Shafer Associate Professor of Atmospheric Sciences Lyndon State College Jason.Shafer@lyndonstate.edu

2 Annual Wind Resource Climatology 2

3 3 http://www.windpoweringamerica.gov/images/windmaps/us_windmap_80meters.jpg

4 4 http://www.windpoweringamerica.gov/images/windmaps/vt_80m.jpg

5 http://www.northeastwind.com/resources/wind-resource-maps 5

6 6

7 7

8 8

9 Seasonal and Diurnal Climatology 9

10 ~15 Stations in the NEK 10 with wind data All below 1400’ elevation 10 Newport Island Pond Lyndonville

11 11

12 12

13 13

14 14

15 Wind Rose climatology for Lyndonville, VT Source: AWS True Wind 15

16 16 Carrera et al. 2009 Similar to Lyndonville, the two dominant wind directions are from the south and northwest. Burlington, VT Wind Direction Frequency

17 Localized Effects 17

18 Wind Energy Production Wind energy production is very sensitive to small changes in wind speed, to the cube of the wind speed. 18

19 19 IPCC 2012

20 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 20 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.

21 21 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.

22 22

23 Climate Change and Local Wind Resources 23

24 24 Cold Season Jet Stream Climatology

25 25 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.

26 26 Average: 39.5 MPH Data courtesy Mt. Washington Observatory and Plymouth State University

27 27 Average: 5% Data courtesy Mt. Washington Observatory and Plymouth State University

28 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

29 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/f2/20130716- Energy%20Sector%20Vulnerabilities%20Report.pdf http://energy.gov/sites/prod/files/2013/07/f2/20130716- Energy%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/special- reports/srren/SRREN_Full_Report.pdf www.ipcc.ch/pdf/special- reports/srren/SRREN_Full_Report.pdf NOAA ESRL Web Plotting Analysis Tools: http://www.esrl.noaa.gov/psd/cgi- bin/data/composites/printpage.plhttp://www.esrl.noaa.gov/psd/cgi- bin/data/composites/printpage.pl 29

30 http://www.northeastwind.com/resources/wind-resource-maps 30

31 http://www.northeastwind.com/resources/wind-resource-maps 31

32 Figure 7.1 | Example global wind resource map with 5 km x 5 km resolution (3TIER, 2009). 32

Download ppt "Wind Energy in Vermont: A Meteorologist’s Perspective NVDA Wind Study Committee Barton, VT 9/25/13 1 Dr. Jason Shafer Associate Professor of Atmospheric."

Similar presentations

Tropical Cyclone Climatology. Tropical Cyclone Formation Locations (Figure obtained from Global Perspectives on Tropical Cyclones, Ch. 3, © 1995 WMO.)

Tropical Cyclone Climatology. Tropical Cyclone Formation Locations (Figure obtained from Global Perspectives on Tropical Cyclones, Ch. 3, © 1995 WMO.)
Sensitivity of cold air pool evolution in hilly terrain regions B RADLEY J EMMETT -S MITH 1, A NDREW R OSS 1, P ETER S HERIDAN 2, J OHN H UGHES 1 21 st.

Sensitivity of cold air pool evolution in hilly terrain regions B RADLEY J EMMETT -S MITH 1, A NDREW R OSS 1, P ETER S HERIDAN 2, J OHN H UGHES 1 21 st.
Introduction Air stagnation is a meteorological condition when the same air mass remains over an area for several days to a week. Light winds during air.

Introduction Air stagnation is a meteorological condition when the same air mass remains over an area for several days to a week. Light winds during air.
The Surface-based Temperature Inversion on the Antarctic Plateau Stephen R. Hudson and Richard E. Brandt University of Washington Contact Information:

The Surface-based Temperature Inversion on the Antarctic Plateau Stephen R. Hudson and Richard E. Brandt University of Washington Contact Information:
Requirements for monitoring the global tropopause Bill Randel Atmospheric Chemistry Division NCAR.

Requirements for monitoring the global tropopause Bill Randel Atmospheric Chemistry Division NCAR.
Aerosol Pattern over Southeastern Europe Rudolf B. Husar and Janja D. Husar CAPITA, Washington University, St. Louis, MO Conference on Visibility, Aerosols,

Aerosol Pattern over Southeastern Europe Rudolf B. Husar and Janja D. Husar CAPITA, Washington University, St. Louis, MO Conference on Visibility, Aerosols,
FILTERED NOCTURNAL EVOLUTION Data from 23 AWS, 22 of them from the official Catalan Met. Service (see black dots in figure) and one from the Spanish Met.

FILTERED NOCTURNAL EVOLUTION Data from 23 AWS, 22 of them from the official Catalan Met. Service (see black dots in figure) and one from the Spanish Met.
Projections of Future Atlantic Hurricane Activity Hurricane Katrina, Aug. 2005 GFDL model simulation of Atlantic hurricane activity Tom Knutson NOAA /

Projections of Future Atlantic Hurricane Activity Hurricane Katrina, Aug GFDL model simulation of Atlantic hurricane activity Tom Knutson NOAA /
Extreme Weather Trends over the Pacific Northwest Cliff Mass Department of Atmospheric Sciences University of Washington Northwest Climate Conference September.

Extreme Weather Trends over the Pacific Northwest Cliff Mass Department of Atmospheric Sciences University of Washington Northwest Climate Conference September.
Issues in Very High Resolution Numerical Weather Prediction Over Complex Terrain in Juneau, Alaska Don Morton 1,2, Delia Arnold 3,4, Irene Schicker 3,

Issues in Very High Resolution Numerical Weather Prediction Over Complex Terrain in Juneau, Alaska Don Morton 1,2, Delia Arnold 3,4, Irene Schicker 3,
Radar signatures in complex terrain during the passage of mid-latitude cyclones Socorro Medina Department of Atmospheric Sciences University of Washington.

Radar signatures in complex terrain during the passage of mid-latitude cyclones Socorro Medina Department of Atmospheric Sciences University of Washington.
Evaluation of Diurnal-Seasonal Variation of PBL Depth in Maryland Material for discussion October 13, 2010 Dr. Konstantin Vinnikov, Acting State Climatologist.

Evaluation of Diurnal-Seasonal Variation of PBL Depth in Maryland Material for discussion October 13, 2010 Dr. Konstantin Vinnikov, Acting State Climatologist.
PHYC 40050 Environmental Physics Climate, Climate Change Nuclear Power and the Alternatives.

PHYC Environmental Physics Climate, Climate Change Nuclear Power and the Alternatives.
Pacific Northwest Climate Model Scenarios 2008 Climate Impacts Group & Department of Atmospheric Sciences University of Washington Eric Salathé Philip.

Pacific Northwest Climate Model Scenarios 2008 Climate Impacts Group & Department of Atmospheric Sciences University of Washington Eric Salathé Philip.
1 Chapter 12-Meteorology. 2 I. Causes of Weather A. Meteorology is the study of atmospheric phenomena. 1. Clouds, raindrops, snowflakes, fog, dust and.

1 Chapter 12-Meteorology. 2 I. Causes of Weather A. Meteorology is the study of atmospheric phenomena. 1. Clouds, raindrops, snowflakes, fog, dust and.
Impacts of Climate Change on Physical Systems PPT 4.3.4.

Impacts of Climate Change on Physical Systems PPT
Climate Chapter 14.

Climate Chapter 14.
Characteristics of Northeast Winter Snow Storms Dr. Jay Shafer Dec 8, 2011 Lyndon State College Satellites, Weather, and Climate.

Characteristics of Northeast Winter Snow Storms Dr. Jay Shafer Dec 8, 2011 Lyndon State College Satellites, Weather, and Climate.
Earth Science Unit 1.

Earth Science Unit 1.
Observations and simulations of the wind structure in the boundary layer around an isolated mountain during the MATERHORN field experiment Stephan F.J.

Observations and simulations of the wind structure in the boundary layer around an isolated mountain during the MATERHORN field experiment Stephan F.J.

Similar presentations

Ads by Google