Articles | Volume 2, issue 1
Wind Energ. Sci., 2, 115–131, 2017
Wind Energ. Sci., 2, 115–131, 2017

Research article 10 Mar 2017

Research article | 10 Mar 2017

Optimization of wind plant layouts using an adjoint approach

Ryan N. King et al.

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Cited articles

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Amestoy, P. R., Duff, I. S., and L'Excellent, J. Y.: Multifrontal parallel distributed symmetric and unsymmetric solvers, Comput. Method. Appl. M., 184, 501–520,, 2000.
Barthelmie, R. J., Hansen, K., Frandsen, S. T., Rathmann, O., Schepers, J. G., 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.
Boersma, S., Gebraad, P., Vali, M., Doekemeijer, B., and van Wingerden, J.: A control-oriented dynamic wind farm flow model: “WFSim”, J. Phys. Conf. Ser., 753, 032005,, 2016.
Bokharaie, V. S., Bauweraerts, P., and Meyers, J.: Wind-farm layout optimisation using a hybrid Jensen-LES approach, Wind Energ. Sci., 1, 311–325,, 2016.
Short summary
This paper demonstrates optimization of wind turbine locations within a utility-scale wind plant using a nonlinear flow model and gradient-based optimization techniques made possible through the use of adjoints. This represents a groundbreaking improvement in model fidelity and optimization efficiency for wind energy applications. The optimized wind farms demonstrate significant improvements in annual energy production with turbine layouts that take advantage of nonlinear flow curvature effects.