Articles | Volume 6, issue 5
Wind Energ. Sci., 6, 1143–1167, 2021
Wind Energ. Sci., 6, 1143–1167, 2021

Research article 09 Sep 2021

Research article | 09 Sep 2021

Objective and algorithm considerations when optimizing the number and placement of turbines in a wind power plant

Andrew P. J. Stanley et al.

Related authors

Fast Yaw Optimization for Wind Plant Wake Steering Using Boolean Yaw Angles
Andrew P. J. Stanley, Christopher Bay, Rafael Mudafort, and Paul Fleming
Wind Energ. Sci. Discuss.,,, 2021
Preprint under review for WES
Short summary
A Model to Calculate Fatigue Damage Caused by Partial Waking during Wind Farm Optimization
Andrew P. J. Stanley, Jennifer King, Christopher Bay, and Andrew Ning
Wind Energ. Sci. Discuss.,,, 2020
Revised manuscript under review for WES
Short summary
Massive simplification of the wind farm layout optimization problem
Andrew P. J. Stanley and Andrew Ning
Wind Energ. Sci., 4, 663–676,,, 2019
Short summary
Polynomial chaos to efficiently compute the annual energy production in wind farm layout optimization
Andrés Santiago Padrón, Jared Thomas, Andrew P. J. Stanley, Juan J. Alonso, and Andrew Ning
Wind Energ. Sci., 4, 211–231,,, 2019
Short summary

Related subject area

Design methods, reliability and uncertainty modelling
Evaluation of the impact of active wake control techniques on ultimate loads for a 10 MW wind turbine
Alessandro Croce, Stefano Cacciola, and Luca Sartori
Wind Energ. Sci., 7, 1–17,,, 2022
Short summary
Assessing boundary condition and parametric uncertainty in numerical-weather-prediction-modeled, long-term offshore wind speed through machine learning and analog ensemble
Nicola Bodini, Weiming Hu, Mike Optis, Guido Cervone, and Stefano Alessandrini
Wind Energ. Sci., 6, 1363–1377,,, 2021
Short summary
What are the benefits of lidar-assisted control in the design of a wind turbine?
Helena Canet, Stefan Loew, and Carlo L. Bottasso
Wind Energ. Sci., 6, 1325–1340,,, 2021
Short summary
Design procedures and experimental verification of an electro-thermal deicing system for wind turbines
David Getz and Jose Palacios
Wind Energ. Sci., 6, 1291–1309,,, 2021
Short summary
Land-based wind turbines with flexible rail-transportable blades – Part 1: Conceptual design and aeroservoelastic performance
Pietro Bortolotti, Nick Johnson, Nikhar J. Abbas, Evan Anderson, Ernesto Camarena, and Joshua Paquette
Wind Energ. Sci., 6, 1277–1290,,, 2021
Short summary

Cited articles

Abdelsalam, A. M. and El-Shorbagy, M.: Optimization of wind turbines siting in a wind farm using genetic algorithm based local search, Renew. Energ., 123, 748–755, 2018.  a
Abkar, M. and Porté-Agel, F.: Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study, Phys. Fluids, 27,, 2015. a
Baker, N. F., Stanley, A. P. J., Thomas, J. J., Ning, A., and Dykes, K.: Best Practices for Wake Model and Optimization Algorithm Selection in Wind Farm Layout Optimization, in: AIAA Scitech 2019 Forum, 7–11 January 2019, San Diego, CA, AIAA 2019-0540,, 2019. a, b, c
Balasubramanian, K., Thanikanti, S. B., Subramaniam, U., Sudhakar, N., and Sichilalu, S.: A novel review on Optimization Techniques used in Wind Farm Modelling, Renewable Energy Focus, 35, 84–96, 2020. a, b
Bastankhah, M. and Porté-Agel, F.: Experimental and theoretical study of wind turbine wakes in yawed conditions, J. Fluid Mech., 806, 506–541, 2016. a, b
Short summary
Wind farm layout optimization is an essential part of wind farm design. In this paper, we present different methods to determine the number of turbines in a wind farm, as well as their placement. Also in this paper we explore the effect that the objective function has on the wind farm design and found that wind farm layout is highly sensitive to the objective. The optimal number of turbines can vary greatly, from 15 to 54 for the cases in this paper, depending on the metric that is optimized.