A Geospatial Approach for Prioritizing Wind Farm Development in Northeast Nebraska, USA

Being cleaner and climate friendly, wind energy has been increasingly utilized to meet the ever-growing global energy demands. In the State of Nebraska, USA, a wide gap exists between wind resource and actual energy production, and it is imperative to expand the wind energy development. Because of the formidable costs associated with wind energy development, the locations for new wind turbines need to be carefully selected to provide the greatest benefit for a given investment. Geographic Information Systems (GIS) have been widely used to identify the suitable wind farm locations. In this study, a GIS-based multi-criteria approach was developed to identify the areas that are best suited to wind energy development in Northeast Nebraska, USA. Seven criteria were adopted in this method, including distance to roads, closeness to transmission lines, population density, wind potential, land use, distance to cities, slope and exclusionary areas. The suitability of wind farm development was modeled by a weighted overlay of geospatial layers corresponding to these criteria. The results indicate that the model is capable of identifying locations highly suited for wind farm development. The approach could help identify suitable wind farm locations in other areas with a similar geographic background.

[1]  J. Janke,et al.  Multicriteria GIS modeling of wind and solar farms in Colorado , 2010 .

[2]  G. Smiatek,et al.  Land Use Data , 1997 .

[3]  Serwan Mj Baban,et al.  Developing and applying a GIS-assisted approach to locating wind farms in the UK , 2001 .

[4]  Reza S. Abhari,et al.  Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa $ , 2012 .

[5]  Heracles Polatidis,et al.  Environmental management framework for wind farm siting: methodology and case study. , 2010, Journal of environmental management.

[6]  Steven Letendre,et al.  Evaluating potential renewable energy resources in Poultney, Vermont: A GIS-based approach to supporting rural community energy planning , 2010 .

[7]  W. F. Sandusky,et al.  Wind Energy Resource Atlas of the United States , 1987 .

[8]  R. Wiser,et al.  Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2007 (Revised) , 2008 .

[9]  Nazli Yonca Aydin,et al.  GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey , 2010 .

[10]  Tanya Christidis,et al.  Mapping Ontario's Wind Turbines: Challenges and Limitations , 2013, ISPRS Int. J. Geo Inf..

[11]  S. Iniyan,et al.  A review of wind energy technologies , 2007 .

[12]  Cheng-Dar Yue,et al.  GIS-based evaluation of multifarious local renewable energy sources: a case study of the Chigu area of southwestern Taiwan , 2006 .

[13]  R. Meentemeyer,et al.  A geographic analysis of wind turbine placement in Northern California , 2006 .

[14]  G. Jenks.  The Data Model Concept in Statistical Mapping , 1967 .

[15]  Vasilis Fthenakis,et al.  GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State , 2011 .

[16]  M. Delucchi,et al.  Meeting the world’s energy needs entirely with wind, water, and solar power , 2013 .