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Why doesn’t the United States have offshore wind farms? A multi-criteria decision analysis of European wind farm common attributes and potential U.S. sites

Michael Noble
Patrick T. Hester

Applications of Management Science

ISBN: 978-1-78190-956-0, eISBN: 978-1-78190-957-7

ISSN: 0276-8976

Publication date: 6 November 2013

Abstract

This chapter examines why U.S. offshore wind farms do not exist and identifies sites most suitable for development based on European offshore wind farms. A survey of current literature indicates that U.S. development is stalled due to a lack of government and financial support. The literature identifies common attributes associated with the successful deployment of European offshore farms and provides a basis for a multi-criteria decision analysis of potential U.S offshore wind farm sites. A review of European wind farms indicates that a small, 10–50 MW farm located in shallow waters of less than 20 m might be more successful than previous U.S. development efforts. The review also identifies common European attributes deemed critical for success. These attributes are modified, taking into account unique U.S. factors, and a set of nine critical attributes are derived for use in a multi-criteria decision analysis model of suitable U.S. locations. The nine critical attributes (wind quality, water depth, shore distance, state support, public support, industrial support, population density, weather, and energy costs), along with associated utility function values, are applied to 23 past and current proposed U.S. sites. The model identified three sites, in Galveston Island, TX, Port Isabel, TX, and Block Island, RI, as being most favorable for a small wind farm.

Keywords

  • Offshore
  • Wind farms
  • Multi-criteria decision analysis

Citation

Noble, M. and Hester, P. (2013), "Why doesn’t the United States have offshore wind farms? A multi-criteria decision analysis of European wind farm common attributes and potential U.S. sites", Applications of Management Science (Applications of Management Science, Vol. 16), Emerald Group Publishing Limited, pp. 19-38. https://doi.org/10.1108/S0276-8976(2013)0000016005

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Copyright © 2013 Emerald Group Publishing Limited

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