Scholarly record
LAYOUT OPTIMIZATION OF A WIND FARM IN COMPLEX TERRAIN USING FAST NUMERICAL MODELLING METHOD
Abstract
One of the crucial problems for wind farm development is wind farm layout optimization. It seeks the optimal positions of wind turbines inside a wind farm, so as to maximize and/or minimize a single objective or multiple objectives, while satisfying certain constraints. Although this problem for wind farms in flat terrain or offshore has been investigated in many studies, it is still a challenging problem for wind farms in complex terrain. Designing wind farms in complex terrain is becoming more and more important, especially for countries like Finland, where a large portion of the territory is featured as complex terrain. Although potential richer wind resources could be expected at complex terrain sites, they also expose many challenges for wind farm designers/developers. The present work is aimed at development of a new tool to assess and optimize the efficiency of wind farms. The novel idea of the proposed method is to resolve a simpler set of flow motion equations where the flow variables are averaged in the vertical direction (depth-averaged, DA), reducing drastically the computational cost. This implies that only the bulk velocity is accessible from the simplified DA simulation. Wind turbines are introduced as body forces or pressure drops while terrain enters directly in the equations by means of source terms. Therefore, the obtained set of equations is suitable for farms over both simple and moderately-complex terrain like hills, for instance. The 2D CFD simulations with depth-averaged equations together with the genetic algorithms are applied to solve the layout optimization problem of a wind farm on a Gaussian shape hill. The layout of the wind farm with a certain number of wind turbines is optimized in order to maximize the total power output.
Publication Impact Profile
- Captures
- Mendeley - Readers: 2
Publication details
References6
Avramenko A., Agafonova O., Sorvari J., Heikki H., Numerical modeling of flow around a wind turbine using a fast method based on depth-averaged equations, Global Journal of Pure and Applied Mathematics, vol. 11 (6), pp. 5057-5073, 2015;
Hamalainen J., Tiihonen T., Modelling and simulation of fluid flows in a paper machine headbox, ICIAM 95, Issue 4: Applied sciences, pp. 62-66, 1995;
Larsen G.C, Madsen H.A, Tompsen K., Larsen T. J., Wake meandering: a pragmatic approach, Wind Energy, vol. 11, pp. 377-395, 2008;
Lyytikainen M., Modelling and Optimising of Chevron-type Plate Heat Exchangers, PhD thesis, University of Kuopio, Finland, 2009;
Sanderse B., Pijl S.P., Koren B., Review of computational fluid dynamics for wind turbine wake aerodynamics, Wind Energy, vol. 14, pp. 799-819, 2011;
Storn, R., Price K., Differential Evolution - A Simple and Efficient Adaptive Scheme for Global Optimization Over Continuous Spaces. International Computer Science Institute, 1995.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.