A smart segmented blade system for reducing weight of the wind turbine rotor

Lu, Hongya; Zhang, Pan; Lei, Liping; Yang, Yabin; Xu, Yuejie; Qian, Lingyun

doi:10.1016/j.enconman.2014.08.051

Cited by 11 publications

(5 citation statements)

References 15 publications

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“…Several other alternative design concepts can also be beneficial for large scale designs, such as: segmented, smart, and folding wind turbine blades for mass reduction and easier transportation [76][77][78], new control algorithms for load alleviation and better power regulation [79][80][81][82], and novel grid integration algorithms for better and higher penetration [83][84][85].…”

Section: Challenges Of Larger Wind Turbinesmentioning

confidence: 98%

Multidisciplinary design optimization of large wind turbines—Technical, economic, and design challenges

Ashuri

Zaaijer

Martins

et al. 2016

Energy Conversion and Management

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a b s t r a c tWind energy has experienced a continuous cost reduction in the last decades. A popular cost reduction technique is to increase the rated power of the wind turbine by making it larger. However, it is not clear whether further upscaling of the existing wind turbines beyond the 5-7 MW range is technically feasible and economically attractive. To address this question, this study uses 5, 10, and 20 MW wind turbines that are developed using multidisciplinary design optimization as upscaling data points. These wind turbines are upwind, 3-bladed, pitch-regulated, variable-speed machines with a tubular tower. Based on the design data and properties of these wind turbines, scaling trends such as loading, mass, and cost are developed. These trends are used to study the technical and economical aspects of upscaling and its impact on the design and cost. The results of this research show the technical feasibility of the existing wind turbines up to 20 MW, but the design of such an upscaled machine is cost prohibitive. Mass increase of the rotor is identified as a main design challenge to overcome. The results of this research support the development of alternative lightweight materials and design concepts such as a two-bladed downwind design for upscaling to remain a cost effective solution for future wind turbines.

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Section: Challenges Of Larger Wind Turbinesmentioning

confidence: 98%

Multidisciplinary design optimization of large wind turbines—Technical, economic, and design challenges

Ashuri

Zaaijer

Martins

et al. 2016

Energy Conversion and Management

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“…Another alternative to full-blade IPC is segmented blades, where the entire outer segment of the blade can be pitched separately to the inner segment [65]. To our knowledge, this has not been investigated for FOWTs.…”

Section: Individual-blade Pitch Control (Ipc)mentioning

confidence: 99%

Sink or Swim: A Tutorial on the Control of Floating Wind Turbines

Stockhouse

Phadnis

Henry

et al. 2023

2023 American Control Conference (ACC)

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“…The length of trailing edge flap is analysed in detail by Prospathopoulos et al 2020 with the comparison of 2D model and the CFD based 3D model of the trailing edge flaps (Lu et al 2014). Conceptually Karakalas et al 2019 have proposed an adaptive controller-based actuator for trailing edge flap control mechanism which encompasses an active individual blade pitch and flap control mechanism.…”

Section: Introductionmentioning

confidence: 99%

Active Alleviation of Fatigue Stress on Blades by Adaptively Maneuvered Deformable Trailing Edge Flaps (Dtef)

Govindan

Karthikeyan

Saini

2022

Preprint

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The concept of ‘Smart Rotor’ is an evolving advancement in wind turbine which enables an intelligent Active flow control in rotor. The Deformable trailing edge flap (DTEF) is a part of smart rotor concept which implements a customized active load control. The trailing edge flap actuator effectively replaces the tedious blade pitch actuation and conserves the actuation energy required for pitching the entire blade. The DTEFs require a fast computing, anticipatory controller for optimally tuning the flap angle with minimal power compromise. This work analyses the performance of advanced control strategies like Model predictive control (MPC), Adaptive MRAC control and DQ controllers. The MRAC controller is found to reduce the fatigue stress by 40% and the MPC controller damps up to 70% more efficiently than the typical feedback controller. The Control strategies are aided by the LiDAR based preview wind data for the active manipulation of trailing edge flap angle \(\left({\theta }_{flap}\right)\) control. The validation of proposed controller is done using power analysis curve and the components fatigue lifetime analysis using MLIFE software. The above analyses are done in NREL Onshore 5 MW FAST wind turbine model which could be interfaced with MATLAB with modified AeroDyn code for active flap deflection.

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A smart segmented blade system for reducing weight of the wind turbine rotor

Cited by 11 publications

References 15 publications

Multidisciplinary design optimization of large wind turbines—Technical, economic, and design challenges

Multidisciplinary design optimization of large wind turbines—Technical, economic, and design challenges

Sink or Swim: A Tutorial on the Control of Floating Wind Turbines

Active Alleviation of Fatigue Stress on Blades by Adaptively Maneuvered Deformable Trailing Edge Flaps (Dtef)

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