Methods for wind farm siting optimization: New England case study
Date of Original Version
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).
Proceedings of the International Offshore and Polar Engineering Conference
Grilli, Annette R., Malcolm L. Spaulding, and Christopher Damon. "Methods for wind farm siting optimization: New England case study." Proceedings of the International Offshore and Polar Engineering Conference 1, (2010): 727-734. https://digitalcommons.uri.edu/oce_facpubs/94