02 Jun 2022
02 Jun 2022
Status: this preprint is currently under review for the journal WES.

Adjoint-Based High Fidelity Concurrent Aerodynamic Design Optimization of Wind Turbine

Sagidolla Batay1, Bagdaulet Kamalov1, Dinmukhamed Zhangaskanov1, Yong Zhao1, Dongming Wei2, Tongming Zhou3, and Xiaohui Su4 Sagidolla Batay et al.
  • 1Dept. of Mechanical & Aerospace Eng., School of Engineering and Digital Sciences, Nazarbayev University, Astana, 010000, Rep. of Kazakhstan
  • 2Dept. of Mathematics, School of Humanities and Sciences, Nazarbayev University, Astana, 010000, Rep. of Kazakhstan
  • 3Dept. of Civil Environmental and Mining Engineering, The University of Western Australia Perth, WA 6009, Australia
  • 4Key Laboratory of Ocean Energy utilization and Energy Conversion of Ministry of Education, Dalian University of Technology, Dalian 116024, China

Abstract. The aim of this study is to contribute towards the development of an open source MDO (multidisciplinary design optimization) platform DAFoam ( in general and develop, implement, and integrate various technologies for wind turbine MDO for the energy community in particular, and to implement hi-fidelity concurrent multi-disciplinary the aerodynamic design optimization in terms of five different schemes as well as to contribute to the development of the opensource MDO software, DAFoam. To evaluate novel turbine designs, the wind energy sector extensively depends on computational fluid dynamics (CFD). To use CFD in the design optimization process, where lower-fidelity approaches like blade element momentum (BEM) are more popular, but new tools to increase the accuracy must be developed as the latest wind turbines are larger and aerodynamics and structural dynamics become more complex. In the present study, a new concurrent aerodynamic shape optimization approach towards multidisciplinary design optimization (MDO) that uses a Reynolds-averaged Navier Stokes solver in conjunction with a numerical optimization methodology is introduced. A multidisciplinary design optimization tool called DAFoam is used for the NREL phase VI turbine as baseline geometry to conduct extensive aerodynamic design optimizations such as cross-sectional shape, pitch angle, twist, chord length, and dihedral optimization. Pointwise, a commercial mesh generator, is used to create the numerical meshes. As the adjoint approach is strongly reliant on the mesh quality, up to 17.8 million mesh cells were employed during the mesh convergence and result validation processes, whereas 2.65 million mesh cells were used throughout the design optimization due to the computational cost. The nonlinear optimizer SNOPT is used for the optimization process in the adjoint solver. The torque in the tangential direction is the optimization's merit function and excellent results are achieved, which shows the promising prospect of applying this approach for transient MDO. This work represents the first attempt to implement DAFoam for wind turbine aerodynamic design optimization.

Sagidolla Batay et al.

Status: open (until 15 Jul 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Sagidolla Batay et al.

Sagidolla Batay et al.


Total article views: 167 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
129 34 4 167 3 4
  • HTML: 129
  • PDF: 34
  • XML: 4
  • Total: 167
  • BibTeX: 3
  • EndNote: 4
Views and downloads (calculated since 02 Jun 2022)
Cumulative views and downloads (calculated since 02 Jun 2022)

Viewed (geographical distribution)

Total article views: 159 (including HTML, PDF, and XML) Thereof 159 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
Latest update: 01 Jul 2022
Short summary
The primary enhancement is the addition of dihedral as a design variable for optimization, which was not previously considered in wind turbine research. The DAFoam software is implemented and utilized in this investigation, and it is based on the open-source CFD solver OpenFOAM. To the authors’ best knowledge This study represents the first ever work on wind turbine optimization implementing and using the DAFoam to date based on adjoint and RANS solvers with reverse AD technique.