Structural optimization and performance investigation of power flow adaptive flow devices based on multi-body coupling
Darong Liang,
Baigong Wu,
Yongdong Shu,
Zhenhu Zhou,
Xiao Zhang,
Jianmei Chen,
Wanqiang Zhu and
Qingshan Ji
Energy, 2024, vol. 312, issue C
Abstract:
Through the multi-body coupling between the components in the numerical calculation, the self-adaptive yaw motion of the power flow turbine is realized. Specifically, the changes of launching dynamic performance in different yaw structure combinations (different rod length, different tail chord length, different tail limiting Angle and rotation axis position) are investigated. The results show that under the same operating conditions, the turbine efficiency of the optimized structure combination is increased by 1.05 % and the yaw speed is increased by 16.7 %. Then, the influences of different tip immersion depth and wave period on thrust coefficient and efficiency coefficient of turbine at free liquid surface are compared. The conclusion is that the turbine efficiency is increased by 0.8 % when the tip depth is 0.21D compared with that without free liquid surface. When the wave period is 1.3, the turbine efficiency is increased by 1.4 % compared with that without free liquid surface. The results show that the selection of appropriate structure combination and installation depth is of great help to turbine efficiency and yaw speed during the yaw process of turbine power flow unit.
Keywords: Turbine; Multi-body coupling; Free liquid surface; Structural optimization; Wave and flow effects; Hydrodynamic performance (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544224033565
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:312:y:2024:i:c:s0360544224033565
DOI: 10.1016/j.energy.2024.133578
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().