DocumentCode :
3536065
Title :
Offshore wind farm siting using a genetic algorithm
Author :
O´Reilly, C.M. ; Grilli, A.R. ; Potty, Gopu R.
Author_Institution :
Dept. of Ocean Eng., Univ. of Rhode Island, Narragansett, RI, USA
fYear :
2012
fDate :
18-20 Dec. 2012
Firstpage :
208
Lastpage :
214
Abstract :
This study uses a genetic algorithm to optimize a wind farm layout considering the engineering challenges and the ecosystem services as constraints to the turbine siting. Included is an analysis of how wake effects influence the power produced using a simple wake model called the WAsP model. The current study considers the location of the proposed Deep Water Wind Inc. Offshore Wind Farm Project, southeast of Block Island, Rhode Island. The proposed project consists of six, 6MW Siemens wind turbines located within the Rhode Island State waters that extend roughly 4.8 km off of the Block Island coast. The optimum solution produces turbine locations best conforming to areas of low technical, ecological, and social costs, while simultaneously distributing the turbines to minimize turbine wake interaction. Future model improvements will consist of more accurately describing wind conditions within the wind farm and incorporating turbine cable interconnection installation costs.
Keywords :
ecology; genetic algorithms; offshore installations; power generation economics; power system interconnection; wind power plants; wind turbines; Block Island coast; Deep Water Wind Inc; Rhode Island State; Siemens wind turbines; WAsP model; ecological cost; ecosystem services; engineering challenges; genetic algorithm; offshore wind farm project; power 6 MW; simple wake model; social cost; technical cost; turbine cable interconnection installation costs; turbine locations; turbine siting; turbine wake interaction; wind conditions; wind farm layout optimization; Genetic algorithms; Layout; Optimization; Wind farms; Wind speed; Wind turbines; Genetic Algorithms; Wind farms; wake effects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Technologies (ICGT), 2012 International Conference on
Conference_Location :
Trivandrum
Print_ISBN :
978-1-4673-2635-3
Type :
conf
DOI :
10.1109/ICGT.2012.6477974
Filename :
6477974
Link To Document :
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