Articles | Volume 4, issue 1
Research article
30 Jan 2019
Research article |  | 30 Jan 2019

Coupled wind turbine design and layout optimization with nonhomogeneous wind turbines

Andrew P. J. Stanley and Andrew Ning

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Cited articles

Barthelmie, R. J., Frandsen, S. T., Nielsen, M., Pryor, S., Rethore, P.-E., and Jørgensen, H. E.: Modelling and measurements of power losses and turbulence intensity in wind turbine wakes at Middelgrunden offshore wind farm, Wind Energy, 10, 517–528, 2007. a
Barthelmie, R. J., Hansen, K., Frandsen, S. T., Rathmann, O., Schepers, J., Schlez, W., Phillips, J., Rados, K., Zervos, A., Politis, E. S., and Chaviaropoulos, P. K.: Modelling and measuring flow and wind turbine wakes in large wind farms offshore, Wind Energy, 12, 431–444, 2009. a
Brand, A., Wagenaar, J., Eecen, P., and Holtslag, M.: Database of measurements on the offshore wind farm Egmond aan Zee, EWEA, Copenhagen, 2012. a
Briggs, K.: Navigating the complexities of wake losses, Norik American Windpower, 10, 2013. a
Chen, Y., Li, H., Jin, K., and Song, Q.: Wind farm layout optimization using genetic algorithm with different hub height wind turbines, Energ. Convers. Manage., 70, 56–65, 2013. a, b
Short summary
We show that optimizing wind turbine design and wind turbine layout at the same time is superior to doing so sequentially. This coupled optimization can reduce the cost of energy by 2–5 % compared to sequential optimization. We also demonstrate that wind farms with closely spaced wind turbines can greatly benefit from different turbine designs throughout the farm. Heterogeneous turbine design can reduce the cost of energy by up to 10 % compared to farms with all identical turbines.
Final-revised paper