wind turbine towers
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2021 ◽  
pp. 472-483
Author(s):  
Abdul Watfa ◽  
Mark Green ◽  
Amir Fam ◽  
Martin Noel

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7536
Author(s):  
Georgios Malliotakis ◽  
Panagiotis Alevras ◽  
Charalampos Baniotopoulos

Wind power is a substantial resource to assist global efforts on the decarbonization of energy. The drive to increase capacity has led to ever-increasing blade tip heights and lightweight, slender towers. These structures are subject to a variety of environmental loads that give rise to vibrations with potentially catastrophic consequences, making the mitigation of the tower’s structural vibrations an important factor for low maintenance requirements and reduced damage risk. Recent advances in the most important vibration control methods for wind turbine towers are presented in this paper, exploring the impact of the installation environment harshness on the performance of state-of-the-art devices. An overview of the typical structural characteristics of a modern wind turbine tower is followed by a discussion of typical damages and their link to known collapse cases. Furthermore, the vibration properties of towers in harsh multi-hazard environments are presented and the typical design options are discussed. A comprehensive review of the most promising passive, active, and semi-active vibration control methods is conducted, focusing on recent advances around novel concepts and analyses of their performance under multiple environmental loads, including wind, waves, currents, and seismic excitations. The review highlights the benefits of installing structural systems in reducing the vibrational load of towers and therefore increasing their structural reliability and resilience to extreme events. It is also found that the stochastic nature of the typical tower loads remains a key issue for the design and the performance of the state-of-the-art vibration control methods.


2021 ◽  
Vol 6 (11) ◽  
pp. 162
Author(s):  
Hao Bai ◽  
Younes Aoues ◽  
Jean-Marc Cherfils ◽  
Didier Lemosse

The vibration of wind turbine towers is relevant to the reliability of the wind turbine structure and the quality of power production. It produces both ultimate loads and fatigue loads threatening structural safety. This paper aims to reduce vibration in wind turbine towers using an active damper named the twin rotor damper (TRD). A single degree of freedom (SDOF) oscillator with the TRD is used to approximate the response of wind turbines under a unidirectional gusty wind with loss of the electrical network. The coincidence between the wind gust and the grid loss is studied to involve the maximum loading on the structure. The performance of the proposed damping system under the maximum loading is then evaluated on the state-of-the-art wind turbine NREL 5 MW. The effectiveness of the TRD is compared to a passive tuned mass damper (TMD) designed with similar requirements. The numerical results reveal that, at the 1st natural mode, the TRD outperforms the passive TMD by three to six times. Moreover, the results show that the TRD is effective in reducing ultimate loads on wind turbine towers.


2021 ◽  
Vol 1201 (1) ◽  
pp. 012087
Author(s):  
S C Joghee ◽  
I El-Thalji

Abstract Mixed reality Technology creates new environments and visualizations to teach, train, and facilitate work, either offline or remote online. The aim is to provide effective learning and training sources and reduce human errors and cognitive workload. However, the concept study to design mixed reality (MR)-assisted training lacks the workflow process. Therefore, the purpose of this paper is to develop a workflow to design MR-assisted training together with a worksheet that can be used to prioritize training tasks that should be virtualized and augmented. The workflow is demonstrated with the help of safety training for wind turbine towers. The results show that the proposed workflow has identified 4 out of 8 tasks to be critical for virtualization and augmentation. The proposed workflow is helpful to screen and identify critical training and work scenarios and tasks, besides the ability to determine the technical specifications of the required virtualization and augmentation.


2021 ◽  
Vol 11 (18) ◽  
pp. 8683
Author(s):  
Zeyu Li ◽  
Hongbing Chen ◽  
Bin Xu ◽  
Hanbin Ge

The prestressed concrete–steel hybrid (PCSH) wind turbine tower, characterized by replacing the lower part of the traditional full-height steel tube wind turbine tower with a prestressed concrete (PC) segment, provides a potential alterative solution to transport difficulties and risks associated with traditional steel towers in mountainous areas. This paper proposes an optimization approach with a parallel updated particle swarm optimization (PUPSO) algorithm which aims at minimizing the objective function of the levelized cost of energy (LCOE) of the PCSH wind turbine towers in a life cycle perspective which represents the direct investments, labor costs, machinery costs, and the maintenance costs. Based on the constraints required by relevant specifications and industry standards, the geometry of a PCSH wind turbine tower for a 2 MW wind turbine is optimized using the proposed approach. The dimensions of the PCSH wind turbine tower are treated as optimization variables in the PUPSO algorithm. Results show that the optimized PCSH wind turbine tower can be an economic alternative for wind farms with lower LCOE requirements. In addition, compared with the traditional particle swarm optimization (PSO) algorithm and UPSO algorithm, the proposed PUPSO algorithm can enhance the optimization computation efficiency by about 60–110%.


Electronics ◽  
2021 ◽  
Vol 10 (18) ◽  
pp. 2261
Author(s):  
Lapo Miccinesi ◽  
Tommaso Consumi ◽  
Alessandra Beni ◽  
Massimiliano Pieraccini

Interferometric radars are widely used for static and dynamic monitoring of large structures such as bridges, culverts, wind turbine towers, chimneys, masonry towers, stay cables, buildings, and monuments. Most of these radars operate in Ku-band (17 GHz). Nevertheless, a higher operative frequency could allow the design of smaller, lighter, and faster equipment. In this paper, a fast MIMO-GBSAR (Multiple-Input Multiple-Output Ground-Based Synthetic Aperture Radar) operating in W-band (77 GHz) has been proposed. The radar can complete a scan in less than 8 s. Furthermore, as its overall dimension is smaller than 230 mm, it can be easily fixed to the head of a camera tripod, which makes its deployment in the field very easy, even by a single operator. The performance of this radar was tested in a controlled environment and in a realistic case study.


Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5772
Author(s):  
Charis J. Gantes ◽  
Maria Villi Billi ◽  
Mahmut Güldogan ◽  
Semih Gül

A wind turbine tower assembly is presented, consisting of a lower “tripod section” and an upper tubular steel section, aiming at enabling very tall hub heights for optimum exploitation of the wind potential. The foundation consists of sets of piles connected at their top by a common pile cap below each tripod leg. The concept can be applied for the realization of new or the upgrade of existing wind turbine towers. It is adjustable to both onshore and offshore towers, but emphasis is directed towards overcoming the stricter onshore transportability constraints. For that purpose, pre-welded individual tripod parts are transported and are then bolted together during erection, contrary to fully pre-welded tripods that have been used in offshore towers. Alternative constructional details of the tripod joints are therefore proposed that address the fabrication, transportability, on-site erection and maintenance requirements and can meet structural performance criteria. The main structural features are demonstrated by means of a typical case study comprising a 180-m-tall tower, consisting of a 120-m-tall tubular superstructure on top of a 60-m-tall tripod substructure. Realistic cross-sections are calculated, leading to weight and cost estimations, thus demonstrating the feasibility and competitiveness of the concept.


2021 ◽  
Vol 184 ◽  
pp. 106815
Author(s):  
Stelios M. Vernardos ◽  
Charis J. Gantes ◽  
Efstratios G. Badogiannis ◽  
Xenofon A. Lignos

ce/papers ◽  
2021 ◽  
Vol 4 (2-4) ◽  
pp. 261-268
Author(s):  
Konstantina G. Koulatsou ◽  
Kyriakos‐Alexandros Chondrogiannis ◽  
Charis J. Gantes

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