Wind-farm layout optimisation using a hybrid Jensen–LES approach
Given a wind farm with known dimensions and number of wind turbines, we try to find the optimum positioning of wind turbines that maximises wind-farm energy production. In practice, given that optimisation has to be performed for many wind directions, and taking into account the yearly wind dist...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-12-01
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Series: | Wind Energy Science |
Online Access: | https://www.wind-energ-sci.net/1/311/2016/wes-1-311-2016.pdf |
Summary: | Given a wind farm with known dimensions and number of wind turbines, we try
to find the optimum positioning of wind turbines that maximises wind-farm
energy production. In practice, given that optimisation has to be performed
for many wind directions, and taking into account the yearly wind
distribution, such an optimisation is computationally only feasible using
fast engineering wake models such as the Jensen model. These models are known
to have accuracy issues, in particular since their representation of wake
interaction is very simple. In the present work, we propose an optimisation
approach that is based on a hybrid combination of large-eddy simulation (LES)
and the Jensen model; in this approach, optimisation is mainly performed
using the Jensen model, and LES is used at a few points only during
optimisation for online tuning of the wake-expansion coefficient in the
Jensen model, as well as for validation of the results. An optimisation case
study is considered, in which the placement of 30 turbines in a 4 km by
3 km rectangular domain is optimised in a neutral atmospheric boundary
layer. Optimisation for both a single wind direction and multiple wind
directions is discussed. |
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ISSN: | 2366-7443 2366-7451 |