Onshore Wind Farm Fast Wake Estimation Method: Critical Analysis of the Jensen Model

Sidwell, N.; Ahmad, T.; Matthews, P.C.

Abstract

Wind energy is the most rapidly expanding source of renewable energy in the UK and has supplied 5% of the country’s electricity requirements since 2010. With finite space available for future development, investors and manufacturers are constantly looking for new methods to increase the efficiency of both active and planned wind farms. Wind turbine wake effects are a common cause of energy loss within a wind farm; capable of reducing a trailing turbine’s output by up to 30%. Through the use of wake estimation models, wind farms can be designed and operated to reduce the wake effects experienced by turbines. The Jensen model is a fast wake estimation model, derived from the momentum equation, capable of providing wind speed and wake radius values at distances downstream of a turbine. The simplicity and low computation time of the model have made it highly popular in the commercial market. This paper critically reviews the Jensen model for on-shore wind farms. This critical review demonstrates that the Jensen model is appropriate as a rapid wake estimator that can be used as part of an on-line wind farm control system for wake optimisation.

Citation

Sidwell, N., Ahmad, T., & Matthews, P. (2015, November). Onshore Wind Farm Fast Wake Estimation Method: Critical Analysis of the Jensen Model. Presented at EWEA 2015, Paris, France

• Presentation Conference Type: Conference Paper (published)
• Conference Name: EWEA 2015
• Start Date: Nov 17, 2015
• End Date: Nov 20, 2015
• Acceptance Date: Oct 12, 2015
• Publication Date: Nov 19, 2015
• Deposit Date: Oct 27, 2015
• Publicly Available Date: Nov 12, 2015
• Public URL: https://durham-repository.worktribe.com/output/1152258
• Publisher URL: http://www.ewea.org/annual2015/conference/programme/info2.php?id2=1076&id=37%20&ordre=1#top
• Additional Information: Conference dates: 17-20 November 2015