A radius and minimum velocity Jensen model for far wake distribution prediction of tidal stream turbine DOI

Beibei Wei,

Dingding Yang, Tianzhen Wang

et al.

Physics of Fluids, Journal Year: 2024, Volume and Issue: 36(11)

Published: Nov. 1, 2024

The rational layout of tidal stream turbines (TSTs) is beneficial for making full use energy. It essential to consider the wake radius and velocity distribution determining spacing between TSTs. primarily affected by turbulence intensity. attenuation results in non-linear expansion wake. Additionally, high near region inhibits deficit, which more evident under ambient Therefore, a minimum Jensen (RMV-Jensen) model proposed predict downstream TST. RMV-Jensen consists block (R-Block) (MV-Block). R-Block piecewise exponential function based on region, accurately describing change coefficient. MV-Block model, inhibitory effect deficit considered first time. applied Zhoushan sea area. prediction accuracy improved 10%–20% compared that classical according experimental results.

Language: Английский

A Review of thermoplastic composites on wind turbine blades DOI
Xiangrong Cheng, Bing Du, He Jia

et al.

Composites Part B Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112411 - 112411

Published: March 1, 2025

Language: Английский

Citations

1
Wake field prediction of a wind farm based on a physics-informed neural network with different spatiotemporal prediction performance improvement strategies DOI Creative Commons
Jung‐Hun Song, Lei Wang, Zhiqiang Xin

et al.

Theoretical and Applied Mechanics Letters, Journal Year: 2025, Volume and Issue: unknown, P. 100577 - 100577

Published: Feb. 1, 2025

Language: Английский

Citations

0
Effect of an abrupt rough-to-smooth surface roughness transition occurring upstream or within a wind farm studied using large eddy simulation and analytical modeling DOI
Naveen N. Kethavath, Niranjan S. Ghaisas

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(2)

Published: Feb. 1, 2025

The effect of a rough-to-smooth (R-S) surface roughness transition occurring within or upstream wind farm is studied using large-eddy simulation (LES). R-S alters the velocity deficit, turbulence intensity (TI), turbine wake recovery, and power generation. growth rate correlates well with added TI rather than TI. distance between first-row shown to be key parameter. For parameters considered, starting 6 diameters (d) 4d downstream has 15%−19% lesser losses compared sited on homogeneously rough far transition. Similar observations hold for farms increased row spacing thrust coefficient. are only weakly sensitive hub heights. Decreasing upstream/downstream roughnesses keeping their ratio fixed leads smaller difference homogeneously/heterogeneously surfaces. Predicting analytical models field not trivial. Different single-turbine model sampling location choices evaluated. Incorporating blockage effects at essential predict accurately, 9% LES results, most cases here.

Language: Английский

Citations

0
Experimental implementation of design of an asynchronous machine-based wind emulator using backstepping control DOI Creative Commons
Hana Zekraoui, Taoufik Ouchbel, Mohamed Larbi Elhafyani

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 17, 2025

The development of renewable energies, particularly wind power, requires high-performance system modeling and optimization tools. Wind turbine emulators can reproduce the behavior real turbines, facilitating validation control strategies in a secure, flexible environment. must ensure accurate tracking profiles, robustness to disturbances, optimized execution real-time, despite computational hardware constraints. In addition, their extension hybrid systems smart grids imposes requirements terms integration advanced energy management, making design implementation complex. This paper presents an experimental examination into revolutionary technique simulation. It details design, analysis, construction that stimulate both turbine's dynamic static characteristics. physical configuration this simulator faithfully mimics operation genuine turbine. To achieve cost-effective efficient emulation, asynchronous machine (ASM) was chosen over direct current (DC) since it is substantially less expensive, better choice for emulation. A backstepping approach applied stabilize ASM's by regulating its flux controlling rotational speed, resulting smooth reliable performance. primary objective develop progressive legislation guarantees overall stability system. proposed method first validated using MATLAB/Simulink simulations. simulation findings were then Hardware-in-the-Loop (HIL) test on dSPACE 1104 platform. results demonstrate efficacy evaluating performance, confirming potential applications.

Language: Английский

Citations

0
Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control DOI
Yize Wang, Zhenqing Liu

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136266 - 136266

Published: April 1, 2025

Language: Английский

Citations

0
The future of offshore wind power production: Wake and climate impacts DOI Creative Commons
Simon C. Warder, Matthew D. Piggott

Applied Energy, Journal Year: 2024, Volume and Issue: 380, P. 124956 - 124956

Published: Nov. 30, 2024

Language: Английский

Citations

2
Utilizing WFSim to Investigate the Impact of Optimal Wind Farm Layout and Inter-Field Wake on Average Power DOI Creative Commons
Guohao Li, Lidong Zhang,

Duanmei Zhang

et al.

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(8), P. 1353 - 1353

Published: Aug. 8, 2024

This paper presents a comprehensive study on optimizing wind farm efficiency by controlling wake effects using the WFSim dynamic simulation model. Focusing five key factors—yaw turbine position, yaw angle, spacing, longitudinal and rate—we qualitatively analyze their individual combined impact farm’s behavior mechanical load. Through quantitative approach orthogonal test method, we assess each factor’s influence overall power output. The findings prioritize following factors in terms of effect output: rate. Most significantly, this identifies optimal working conditions for maximizing average These include spacing 7.0D, 15.0D, angle 30°, rate 0.0122 rad/s, with first second rows turbines state. Under these optimized conditions, output is enhanced to 35.19 MW, marking an increase 2.86 MW compared original configuration. Additionally, offers analysis deflection under providing valuable insights design management more efficient farms.

Language: Английский

Citations

1
New genetic gray wolf optimizer with a random selective mutation for wind farm layout optimization DOI Creative Commons
Mauro Amaro Pinazo

Heliyon, Journal Year: 2024, Volume and Issue: 10(23), P. e40135 - e40135

Published: Nov. 8, 2024

The wake effect is a relevant factor in determining the optimal distribution of wind turbines within boundaries farm. This reduces incident speed on downstream turbines, which results decrease energy production for paper proposes novel approach optimizing using new Genetic Gray Wolf Optimizer (GGWO). GGWO employs teamwork model inspired by wolf prey hunting, guided four leaders: Alpha, Beta, Delta, and Omicron wolves, each with different hierarchical weights. To improve competitiveness utilizes genetic algorithm operators such as crossover blending, normal mutation, operator called Random Selective Mutation (RSM), improves solution search efficiency. proposed compared to other algorithms (GWO), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Ant (ACO). studies examine varying speeds magnitude direction throughout year, well farm boundaries. outcomes show that successfully identifies ideal locations scoring better scores terms total simulation duration annual generation It surpasses performance GWO, ABC, PSO exhibits comparable more intricate like ACO.

Language: Английский

Citations

1
Effects of coupled platform motions on the aerodynamic performance and wake characteristics of a floating horizontal-axis wind turbine DOI
H.Y. Peng, Haotian Zhu, H. J. Liu

et al.

International Journal of Green Energy, Journal Year: 2024, Volume and Issue: 21(16), P. 3838 - 3856

Published: Sept. 19, 2024

Language: Английский

Citations

1
A radius and minimum velocity Jensen model for far wake distribution prediction of tidal stream turbine DOI

Beibei Wei,

Dingding Yang, Tianzhen Wang

et al.

Physics of Fluids, Journal Year: 2024, Volume and Issue: 36(11)

Published: Nov. 1, 2024

The rational layout of tidal stream turbines (TSTs) is beneficial for making full use energy. It essential to consider the wake radius and velocity distribution determining spacing between TSTs. primarily affected by turbulence intensity. attenuation results in non-linear expansion wake. Additionally, high near region inhibits deficit, which more evident under ambient Therefore, a minimum Jensen (RMV-Jensen) model proposed predict downstream TST. RMV-Jensen consists block (R-Block) (MV-Block). R-Block piecewise exponential function based on region, accurately describing change coefficient. MV-Block model, inhibitory effect deficit considered first time. applied Zhoushan sea area. prediction accuracy improved 10%–20% compared that classical according experimental results.

Language: Английский

Citations

0