In this paper, we consider the Wind Farm layout optimization problem using a genetic algorithm. Both the Horizontal–Axis Wind Turbines (HAWT) and Vertical-Axis Wind Turbines (VAWT) are considered. The goal of the optimization problem is to optimally place the turbines within the wind farm such that the wake effects are minimized and the power production is maximized. The reasonably accurate modeling of the turbine wake is critical in determination of the optimal layout of the turbines and the power generated. For HAWT, two wake models are considered; both are found to give similar answers. For VAWT, a very simple wake model is employed.
- Advanced Energy Systems Division and Solar Energy Division
Optimal Placement of Horizontal- and Vertical-Axis Wind Turbines in a Wind Farm for Maximum Power Generation Using a Genetic Algorithm
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Chen, X, & Agarwal, R. "Optimal Placement of Horizontal- and Vertical-Axis Wind Turbines in a Wind Farm for Maximum Power Generation Using a Genetic Algorithm." Proceedings of the ASME 2011 5th International Conference on Energy Sustainability. ASME 2011 5th International Conference on Energy Sustainability, Parts A, B, and C. Washington, DC, USA. August 7–10, 2011. pp. 2033-2039. ASME. https://doi.org/10.1115/ES2011-54080
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