TABLE B-2 Wind Resource Database: Standard Version, May 2005a

State

Data Sourceb

State

Data Sourceb

Arizona

N/TWS 2003

Nebraska

N/TWS 2005

Alabama

PNL 1987

New Hampshire

N/TWS 2002

Arkansas

PNL 1987

New Jersey

N/TWS 2003

California

N/TWS 2003

New Mexico

N/TWS 2003

Colorado

N/TWS 2003

New York

PNL 1987

Connecticut

N/TWS 2002

North Carolina

N/TWS 2003

Delaware

N/TWS 2003

North Dakota

NREL 2000

Florida

PNL 1987

Ohio

N/TWS 2004

Georgia

PNL 1987

Oklahoma

PNL 1987

Idaho

N/TWS 2002

Oregon

N/TWS 2002

Illinois

NREL 2001

Pennsylvania

N/TWS 2003

Indiana

N/TWS 2004

Rhode Island

N/TWS 2002

Iowa

PNL 1987

South Carolina

PNL 1987

Kansas

PNL 1987

South Dakota

NREL 2000

Kentucky

PNL 1987

Tennessee

PNL 1987

Louisiana

PNL 1987

Texas

PNL 1987

Maine

N/TWS 2002

 

NREL 2000

Maryland

N/TWS 2003

Vermont

N/TWS 2002

Massachusetts

N/TWS 2002

Virginia

N/TWS 2003

Michigan

N/TWS 2005

Washington

N/TWS 2002

Minnesota

PNL 1987

West Virginia

N/TWS 2003

Mississippi

PNL 1987

Wisconsin

PNL 1987

Missouri

N/TWS 2004

Wyoming

N/TWS 2002

Montana

N/TWS 2002

 

 

aData source and exclusion criteria for U.S. wind potential map coverage provided on March 16, 2006, by National Renewable Energy Laboratory, Golden, CO.

bYrSource: Yr = Year validated (1987 to present); Source = PNL, NREL, or N/TWS (NREL with AWS TrueWind).

NOTE: PNL data resolution is 1/4 degree of latitude by 1/3 degree of longitude; each cell has a terrain exposure percent (5% for ridgecrest to 90% for plains) to define base resource area in each cell. Ridgecrest areas have 10% of the area assigned to the next higher power class. NREL data were generated with the WRAMS model and do not account for surface roughness. Resolution is 1 km. Texas includes the Texas mesas study area updated by NREL using WRAMS. N/TWS data was generated by AWS TrueWind and validated by NREL. Resolution is 400 m for the northwest states (WA, OR, ID, MT, and WY) and 200 m everywhere else. These data consider surface roughness in their estimates.



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