Numerical study of aerodynamic performance of horizontal axis dual-rotor wind turbine under atmospheric boundary layers
Ocean Engineering, ISSN: 0029-8018, Vol: 280, Page: 114944
2023
- 10Citations
- 18Captures
- 1Mentions
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Most Recent News
Researchers from Shanghai Jiao Tong University Describe Findings in Wind Turbines (Numerical Study of Aerodynamic Performance of Horizontal Axis Dual-rotor Wind Turbine Under Atmospheric Boundary Layers)
2023 JUL 21 (NewsRx) -- By a News Reporter-Staff News Editor at Energy Daily News -- Data detailed on Energy - Wind Turbines have been
Article Description
The use of horizontal axis dual-rotor wind turbine (DRWT) is a new strategy to enhance the capture rate of wind energy and increase the performance of wind farms. An actuator line model (ALM) and large eddy simulation(LES) are introduced to investigate the aerodynamic performance of DRWT, and its effects on downstream turbines under convective atmospheric boundary layer (CBL) and neutral atmospheric boundary layer (NBL). The results conclude that the dominant vibration frequencies of the power production for the front rotor of DRWT are nearly the same as those of the single-rotor wind turbine (SRWT) under both NBL and CBL, but the vibration amplitude is slightly higher. The strength and dominant frequencies of yaw moment (Myaw) for the front rotor of DRWT are almost the same as those of the SRWT in both NBL and CBL flows, while the results of blade-root out-of-plane bending moment (Moop) are different. There are obvious differences in wake development and wake meandering between the DRWT and the SRWT. For three turbines cases, the total power production is increased respectively by 3.3% and 3% under NBL and CBL at a tandem spacing of 5D when the DRWT is placed in the first row, while the results increase to 5.5% and 4.4% at a tandem spacing of 9D. The stability of Myaw and Moop of second-row turbine located 5D downstream behind the DRWT under both NBL and CBL and Moop of all turbines located behind the DRWT in three tandem spacings (5D, 7D, 9D) under CBL are deteriorated compared with those located behind the SRWT.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0029801823013288; http://dx.doi.org/10.1016/j.oceaneng.2023.114944; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85161038719&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0029801823013288; https://dx.doi.org/10.1016/j.oceaneng.2023.114944
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know