A geospatial approach for prioritizing wind farm development in Northeast Nebraska, USA

ISPRS International Journal of Geo-Information

Volumn 3, Issue 3, 2014, Pages 968-979

  Miller, Adam ^a   Li, Ruopu ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

GIS; Multi criteria; Nebraska; Wind energy; Wind farm

Indexed keywords

EID: 84948772015     PISSN: None     EISSN: 22209964     Source Type: Journal    
DOI: 10.3390/ijgi3030968     Document Type: Article

References (24)

1. Aydin, N.Y.; Kentel, E.; Duzgun, S. GIS-based environmental assessment of wind energy systems for spatial planning: A case study from western Turkey. Renew. Sustain. Energy Rev. 2009, 14, 364-373.
2. Herbert, G.M.; Iniyan, S.; Sreevalsan, E.; Rajapandian, S. A review of wind energy technologies. Renew. Sustain. Energy Rev. 2007, 11, 1117-1145.
3. Delucchi, M.A.; Jacobson, M.Z. Meeting the world's energy needs entirely with wind, water, and solar power. Bull. Atomic Sci. 2013, 69, 30-40.
4. Wiser, R.; Bolinger, M. Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2007; Office of Energy Efficiency and Renewable Energy, US Department of Energy: Oak Ridge, TN, USA, 2008.
5. Natural Resources Defense Council. Renewable Energy for America-Nebraska. 2014. Available online: http://www.nrdc.org/energy/renewables/nebraska.asp (accessed on 3 February 2014).
6. US Department of Energy. Nebraska 50-meter Wind Map. 2014. Available online: http://www.windpoweringamerica.gov/maps-template.asp?stateab=ne (accessed on 1 March 2014).
7. Rodman, L.C.; Meentemeyer, R.K. A geographic analysis of wind turbine placement in Northern California. Energy Policy 2006, 34, 2137-2149.
8. Nebraska Energy Association. Wind Energy Generation in Nebraska. 2014. Available online: http://www.neo.ne.gov/statshtml/89.htm (accessed on 3 February 2014).
9. Baban, S.M.J.; Parry, T. Developing and applying a GIS-assisted approach to locating wind farms in the UK. Renew. Energy 2001, 24, 59-71.
10. Van Haaren, R.V.; Fthenakis, V. GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State. Renew. Sustain. Energy Rev. 2011, 15, 3332-3340.
11. Janke, J.R. Multicriteria GIS modeling of wind and solar farms in Colorado. Renew. Energy 2010, 35, 2228-2234.
12. Van Hoesen, J.; Letendre, S. Evaluating potential renewable energy resources in Poultney, Vermont: A GIS-based approach to supporting rural community energy planning. Renew. Energy 2010, 35, 2114-2122.
13. Grassi, S.; Chokani, N.; Abhari, R.S. Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa. Energy Policy 2012, 45, 73-85.
14. Yue, C.D.; Wang, S.S. GIS-based evaluation of multifarious local renewable energy sources: A case study of the Chigu area of southwestern Taiwan. Energy Policy 2006, 34, 730-742.
15. High Plains Regional Climate Center. Historical Climate Data Summaries. Available online: http://www.hprcc.unl.edu/data/historical/ (accessed on 3 February 2014).
16. National Renewable Energy Laboratory. Wind Energy Resource Atlas of the United States. Available online: http://rredc.nrel.gov/wind/pubs/atlas/ (accessed on 3 February 2014).
17. US Geological Survey. National Elevation Dataset. Available online: http://viewer.nationalmap.gov/viewer/ (accessed on 3 February 2014).
18. Tegou, L.I.; Polatidis, H.; Haralambopoulos, D.A. Environmental management framework for wind farm siting: Methodology and case study. J. Environ. Manag. 2010, 91, 2134-2147.
19. National Renewable Energy Laboratory. Wind Data. Available online: http://www.nrel.gov/gis/data-wind.html (accessed on 3 February 2014).
20. Nebraska Department of Natural Resources. Land Use Data. Available online: http://dnr.nebraska.gov/land-use-data (accessed on 3 February 2014).
21. US Census Bureau. TIGER Products. Available online: https://www.census.gov/geo/maps-data/data/tiger.html (accessed on 3 February 2014).
22. US Fish and Wildlife Service. USFWS National GIS Data. Available online: http://www.fws.gov/gis/data/national/index.html#NWI (accessed on 3 February 2014).
23. Jenks, G.F. The data model concept in statistical mapping. Int. Yearb. Cartogr. 1967, 7, 186-190.
24. Christidis, T.; Law, J. Mapping Ontario's wind turbines: Challenges and limitations. ISPRS Int. J. Geo-Inf. 2013, 2, 1092-1105.