Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in industry and the academic community.
On 9 April at 17:15, we’ll also hold the main poster session and distinguish the 7 best posters of this year’s edition with our traditional Poster Awards Ceremony. Join us at the poster area to cheer and meet the laureates, and enjoy some drinks with all poster presenters!
We look forward to seeing you there!
PO110: Validation of TurbOPark wake model for a large onshore site
Matthew Zhang, Resource Modelling Manager, BP
Abstract
The TurbOPark model, developed by Ørsted in 2020, represents a significant advancement in wake modelling, building upon the foundation laid by the Bastankhah and Porté-Agel model from 2014. This enhanced model introduces improvements that allow for more accurate simulation of long wakes, which can extend several kilometres downwind. This capability is largely due to TurbOPark's handling of the diminishing rate of mixing and wake recovery, setting it apart from other models, such as the Eddy Viscosity and N.O. Jensen models, which assume a fixed rate of wake recovery. TurbOPark has been validated using data from 19 offshore wind farms, establishing its credibility within the offshore wind industry. However, its application to onshore wind farms remains limited, prompting the need for further exploration. This work successfully attempted to tune the TurbOPark model for a very large onshore wind farm by comparing it against an advanced WRF LES wake model. The tuning process resulted in an A parameter value of 0.064, which provided a close match across all five scenarios. This outcome also suggests that using the offshore setting of 0.04 is overly conservative when applied to onshore wind farms. Further research is necessary to generalise the A parameter value for different onshore wind climates, ensuring that the TurbOPark model can be effectively utilised in a broader range of onshore settings.
No recording available for this poster.
