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Methods for wind farm siting optimization: New England case study

Name: Methods for wind farm siting optimization: New England case study
Keywords: Renewable energy, Cluster analysis, Component principal, TDI index, Rhode Island, 710, Marine spatial planning

descriptionPublicationkeyboard_double_arrow_right Article 09 Sep 2010 United States Publisher:DigitalCommons@URI

Authors: Grilli, Annette R.; Spaulding, Malcolm L.; Damon, Christopher;

Methods for wind farm siting optimization: New England case study

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Abstract

Two independent methods are developed to assist in determining the optimum locations for siting offshore renewable energy facilities (winds). A spatial typology, based on multivariate statistical analysis, namely Principal Components and Cluster Analyses (PCCA), identifies homogeneous marine regions based on geophysical resources and development constraints. A Technology Development Index (TDI), defined as the ratio of technological challenges faced to extract energy versus power resources available is also introduced. Both methods are applied, within a marine spatial planning framework, to Rhode Island and Southeast New England coastal waters, to determine optimum sites offshore wind turbines supported by lattice jacket structures. The methods are robust to variance in the input data and give results in good agreement with each other. Copyright © 2010 by The International Society of Offshore and Polar Engineers (ISOPE).

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United States

Related Organizations

University of Rhode Island
United States

Keywords

Renewable energy, Cluster analysis, Component principal, TDI index, Rhode Island, 710, Marine spatial planning

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