Two-Way Fluid-Structure Interaction Numerical Simulation Method for Offshore Wind Power Based on Immersed Boundary Method

doi:10.12096/j.2096-4528.pgt.22015

Abstract

Abstract:

In order to study the flow field characteristics and dynamic fluid-structure interaction response of offshore wind turbine during operation process, the concept of integrated analysis of offshore wind power project was introduced and the simulation method for the integrated fluid-structure interaction operation process of offshore wind power was established based on the immersed boundary method. The stator-rotor interaction caused by the rotation of the fan was simulated by the immersed boundary method. With the alternating iteration method, a two-way fluid-structure interaction numerical method for the integrated research of offshore wind turbines “fan-tower-foundation” was presented. With the proposed method, the fluid-solid interaction effect of offshore wind turbine can be truly reflected and its dynamic response can be accurately solved. The immersed boundary method can effectively solve the stator-rotor interaction caused by fan rotation without updating the grid motion. Finally, the integrated fluid-structure interaction operation process of an offshore wind power project was simulated.

Key words: offshore wind power, two-way fluid-structure interaction, immersed boundary method, numerical simulation

CLC Number:

TK 83

Ronghui WU, Dong LIU, Ye YU, Kailong MU, Lanhao ZHAO. Two-Way Fluid-Structure Interaction Numerical Simulation Method for Offshore Wind Power Based on Immersed Boundary Method[J]. Power Generation Technology, 2023, 44(1): 44-52.

Figures/Tables 15

Fig. 1 Schematic diagram of integrated model

Fig. 2 Schematic diagram of solid model

Tab. 1 Material characteristics of solid model

参数

地基

混凝土承台(C40)

桩基

Q345

塔筒

Q355NC

Fig. 3 Schematic diagram of fluid model

Fig. 4 Schematic diagram of boundary conditions

Fig. 5 Velocity contour of different cross sections in x direction at t=34 s

Fig. 6 Velocity contour of different cross sections in y direction at t=34 s

Fig. 7 Pressure contour of y=0 m cross section at t=34 s

Fig. 8 Profiles of free surface at t=34 s

Fig. 9 x-direction displacement of offshore wind turbine at t=34 s

Fig. 10 x-direction displacement curve of blade tip with time

Fig. 11 Contour diagram of the first principal stress on windward side of fan blade

Fig. 12 Contour diagram of the third principal stress on windward side of fan blade

Fig. 13 Mises stress contour of tower at t=34 s

Fig. 14 Mises stress contour of pile foundation at t=34 s

References 19

1	苏向敬，山衍浩，周汶鑫，等．基于GRU和注意力机制的海上风机齿轮箱状态监测[J]．电力系统保护与控制，2021，49(24)：141-149． doi:10.19783/j.cnki.pspc.210090
	SU X J， SHAN Y H， ZHOU W X，et al ．GRU and attention mechanism-based condition monitoring of an offshore wind turbine gearbox[J]．Power System Protection and Control，2021，49(24)：141-149． doi:10.19783/j.cnki.pspc.210090
2	朱维群，王倩．碳中和目标下的化石能源利用新技术路线开发[J]．发电技术，2021，42(1)：3-7． doi:10.12096/j.2096-4528.pgt.21009
	ZHU W Q， WANG Q ．Development of new technological routes for fossil energy utilization under the goal of carbon neutral[J]．Power Generation Technology，2021，42(1)：3-7． doi:10.12096/j.2096-4528.pgt.21009
3	姜红丽，刘羽茜，冯一铭，等．碳达峰、碳中和背景下“十四五”时期发电技术趋势分析[J]．发电技术，2022，43(1)：54-64． doi:10.12096/j.2096-4528.pgt.21030
	JIANG H L， LIU Y X， FENG Y M，et al ．Analysis of power generation technology trend in 14th Five-Year Plan under the background of carbon peak and carbon neutrality[J]．Power Generation Technology，2022，43(1)：54-64． doi:10.12096/j.2096-4528.pgt.21030
4	查雨欣，林健，张树龙，等．基于转子动能的直驱式风电系统RoCoF下垂控制策略[J]．智慧电力，2022，50(4)：21-26． doi:10.3969/j.issn.1673-7598.2022.04.005
	ZHA Y X， LIN J， ZHANG S L，et al ．RoCoF droop control strategy for direct-drive wind power system based on rotor kinetic energy[J]．Smart Power，2022，50(4)：21-26． doi:10.3969/j.issn.1673-7598.2022.04.005
5	孙瑞娟，梁军，王克文，等．海上风电集电系统研究综述[J]．电力建设，2021，42(6)：105-115． doi:10.12204/j.issn.1000-7229.2021.06.011
	SUN R J， LIANG J， WANG K W，et al ．Overview of offshore wind power collection system[J]．Electric Power Construction，2021，42(6)：105-115． doi:10.12204/j.issn.1000-7229.2021.06.011
6	王秀丽，赵勃扬，郑伊俊，等．海上风力发电及送出技术与就地制氢的发展概述[J]．浙江电力，2021，40(10)：3-12．
	WANG X L， ZHAO B Y， ZHENG Y J，et al ．A general survey of offshore wind power generation and transmission technologies and local hydrogen production[J]．Zhejiang Electric Power，2021，40(10)：3-12．
7	冯子木，孙国强，滕德红，等．永磁直驱风电机组低电压穿越研究综述[J]．电力工程技术，2021，40(2)：75-85． doi:10.12158/j.2096-3203.2021.02.011
	FENG Z M， SUN G Q， TENG D H，et al ．Reviews of LVRT technology for D-PMSG[J]．Electric Power Engineering Technology，2021，40(2)：75-85． doi:10.12158/j.2096-3203.2021.02.011
8	周昳鸣，李晓勇，陈晓庆．海上风机支撑结构整体优化设计[J]．南方能源建设，2019，6(4)：86-92．
	ZHOU Y M， LI X Y， CHEN X Q ．Integrated design optimization of offshore support structure[J]．Southern Energy Construction，2019，6(4)：86-92．
9	LEDOUX J， RIFFO S， SALOMON J ．Analysis of the blade element momentum theory[J]．SIAM Journal on Applied Mathematics，2021，81(6)：2596-2621． doi:10.1137/20m133542x
10	WIEGARD B， RADTKE L， KÖNIG M，et al ．Simulation of the fluid-structure interaction of a floating wind turbine[J]．Ships and Offshore Structures，2019，14(1)：207-218． doi:10.1080/17445302.2019.1565295
11	SANTO G， PEETERS M， VAN PAEPEGEM W，et al ．Dynamic load and stress analysis of a large horizontal axis wind turbine using full scale fluid-structure interaction simulation[J]．Renewable Energy，2019，140：212-226． doi:10.1016/j.renene.2019.03.053
12	DOSE B， RAHIMI H， HERRÁEZ I，et al ．Fluid-structure coupled computations of the NREL 5 MW wind turbine by means of CFD[J]．Renewable Energy，2018，129：591-605． doi:10.1016/j.renene.2018.05.064
13	AGEZE M B， HU Y， WU H ．Comparative study on uni-and bi-directional fluid structure coupling of wind turbine blades[J]．Energies，2017，10(10)：1499． doi:10.3390/en10101499
14	喻涛涛，张立茹，王雪丽．基于流固耦合的风力机叶片变形研究[J]．可再生能源，2019，37(9)：1381-1385． doi:10.3969/j.issn.1671-5292.2019.09.017
	YU T T， ZHANG L R， WANG X L ．Research on the deformation of wind turbine blade using fluid-solid coupling method[J]．Renewable Energy Resources，2019，37(9)：1381-1385． doi:10.3969/j.issn.1671-5292.2019.09.017
15	李媛，康顺，王建录，等．2.5 MW 风力机叶片流固耦合数值模拟[J]．工程热物理学报，2013，34(1)：71-74．
	LI Y， KANG S， WANG J L，et al ．Numerical simulation of fluid-structure coupling of 2.5 MW wind turbine blades[J]．Journal of Engineering Thermophysics，2013，34(1)：71-74．
16	胡丹梅，张志超，孙凯，等．风力机叶片流固耦合计算分析[J]．中国电机工程学报，2013，33(17)：98-104．
	HU D M， ZHANG Z C， SUN K，et al ．Computational analysis of wind turbine blades based on fluid-structure interaction[J]．Proceedings of the CSEE，2013，33(17)：98-104．
17	MAO J， ZHAO L， LIU X，et al ．An iterative divergence-free immersed boundary method in the finite element framework for moving bodies[J]．Computers & Fluids，2020，208：104630． doi:10.1016/j.compfluid.2020.104630
18	CHORIN A J ．A numerical method for solving incompressible viscous flow problems[J]．Journal of Computational Physics，1997，135(2)：118-125． doi:10.1006/jcph.1997.5716
19	PESKIN C S ．The immersed boundary method[J]．Acta Numerica，2002，11：479-517． doi:10.1017/s0962492902000077

[1]	Nan TU, Jiachen LIU, Jing XU, Jiabin FANG, Yanhua MA. Performance Analysis of Heat Storage and Release Process for a Shell-and-Tube Phase Change Heat Exchanger [J]. Power Generation Technology, 2024, 45(3): 508-516.
[2]	Xue LIU, Guodong LI, Ruiying ZHANG, Yichen HOU, Lei CHEN, Lijun YANG. Research on Axial Flow Fan Models of Air Cooling Island in Power Plant [J]. Power Generation Technology, 2024, 45(3): 545-557.
[3]	Siqi GONG, Zaipeng YUN, Ming XU, Le AO, Chufu LI, Kai HUANG, Chen SUN. Numerical Simulation of Solid Oxide Fuel Cell Tail Gas Catalytic Combustion Based on Three-Way Catalyst [J]. Power Generation Technology, 2024, 45(2): 331-340.
[4]	Xinrong YAN, Ningning ZHANG, Kuichao MA, Chao WEI, Shuai YANG, Binbin PAN. Overview of Current Situation and Trend of Offshore Wind Power Development in China [J]. Power Generation Technology, 2024, 45(1): 1-12.
[5]	Shuai XU, Yufei YANG, Ao GANG, Yuetao XIE, Xiaoming ZHANG, Gongpeng LIU. Research on Key Technologies and Industrial Chain Cooperation Paths of Floating Offshore Wind Power Between China and Europe [J]. Power Generation Technology, 2024, 45(1): 13-23.
[6]	Caixin SUN, Bo ZHANG, Wei TANG, Yiming ZHOU, Mingzhi FU, Meng QIN, Xiaojiang GUO. Research and Practice on Localization of Offshore Wind Turbines [J]. Power Generation Technology, 2023, 44(5): 696-702.
[7]	Wenhu JIA, Qunjie XU. Research Progress of Anti-Corrosion Technology for Offshore Wind Power Facilities [J]. Power Generation Technology, 2023, 44(5): 703-711.
[8]	Yang YANG, Yaoqiang LI, Jinqi ZHANG. Design of Dome Structure for A Lean Premixed Swirled Combustor of Gas Turbine Based on the Numerical Method [J]. Power Generation Technology, 2023, 44(5): 712-721.
[9]	Yang YANG, Desan GUO, Yaoqiang LI, Jinqi ZHANG. Design of Lean Premixed Multi-Swirl Combustor Dome Structure for Gas Turbine [J]. Power Generation Technology, 2023, 44(2): 183-192.
[10]	Wenbin LIU, Lulu LI, Xiaojin LI, Xuan YAO, Hairui YANG. Study on Parameter Optimization of Desulfurized Wet Flue Gas in Spray Condensation Process [J]. Power Generation Technology, 2023, 44(1): 107-114.
[11]	Yiming ZHOU, Shu YAN, Xin LIU, Bo ZHANG, Yutong GUO, Xiaojiang GUO. Summary of Offshore Wind Support Structure Integrated Design in China [J]. Power Generation Technology, 2023, 44(1): 36-43.
[12]	Hongyi ZHANG, Litao QU. Research and Application of Numerical Simulation for Selective Catalytic Reduction Denitration of 9F Gas Turbine [J]. Power Generation Technology, 2023, 44(1): 78-84.
[13]	Hui DONG, Weichun GE, Shitan ZHANG, Chuang LIU, Shuai CHU. Summary of Differences Between Hydrogen Production From Offshore Wind Power and Direct Outward Transmission of Electric Energy [J]. Power Generation Technology, 2022, 43(6): 869-879.
[14]	Xiaoming LIU, Zukuang TAN, Zhenhua YUAN, Yutian LIU. Comprehensive Optimization of Access Point Selection for Offshore Wind Farm Integrated With Voltage Source Converter High Voltage Direct Current [J]. Power Generation Technology, 2022, 43(6): 892-900.
[15]	Wenjun KONG, Yansen ZHANG, Xiaoping TANG, Weikuo ZHANG. Study on Heat Production Characteristics of Lithium-ion Batteries for Large Capacity Energy Storage [J]. Power Generation Technology, 2022, 43(5): 801-809.