Author
Abstract
According to the Betz–Joukowsky limit, the maximum power coefficient of a wind turbine is 16/27. This limit is obtained assuming a priori that the disk is radially uniformly-loaded. In other words, the proof of the limit does not evaluate the optimum type of the load distribution, but it directly speculates that radially uniform load is the optimal one. Therefore, it should be questioned if a radially varying load with a power coefficient higher than 16/27 exists, which overrules the Betz–Joukowsky limit. For this reason, the paper presents, for the first time, an original numerical optimisation strategy aimed at proving, with a prescribed accuracy level, the validity of the Betz–Joukowsky limit, i.e., at verifying whether or not the optimal load distribution is uniform. The proposed strategy combines a Computational-Fluid-Dynamic-Actuator-Disk model with a classical gradient-based optimisation algorithm. The former aims at computing the objective function (i.e., the power coefficient), whereas the latter is devoted to the detection of the optimum. The procedure assumes that the load distribution is a real analytic function, while the optimisation variables are the coefficients of its Taylor polynomial. The proposed methodology is thoroughly verified, and its overall accuracy level is quantified. Up to an 8th-degree Taylor polynomial, the outcome of the numerical optimisation procedure differs from the Betz–Joukowsky solution by a quantity equal to the uncertainty of the adopted computational strategy. In other words, within the given accuracy range, the analysis confirms the validity of the Betz–Joukowsky limit based on the radially uniform load. Finally, it should be stressed that if the actual optimum differed from the Betz–Joukowsky limit by an amount less than the accuracy of the adopted numerical method, then that optimum could not be detected by the proposed procedure.
Suggested Citation
Bontempo, R. & Manna, M., 2025.
"A numerical proof of the Betz–Joukowsky limit,"
Renewable Energy, Elsevier, vol. 241(C).
Handle:
RePEc:eee:renene:v:241:y:2025:i:c:s096014812402367x
DOI: 10.1016/j.renene.2024.122299
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:241:y:2025:i:c:s096014812402367x. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.