Investigating the energy handling capability of low voltage surge arresters in a wind farm under direct lightning strikes on wind turbine blades

2014 ◽  
Author(s):  
Newman Malcolm ◽  
Raj Aggarwal
Keyword(s):  
Wind Turbine ◽  
Wind Farm ◽  
Low Voltage ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Lightning Strikes ◽  
Surge Arresters

scholarly journals Analysis of Wind Turbine Aging through Operation Data Calibrated by LiDAR Measurement

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2319
Author(s):  
Hyun-Goo Kim ◽  
Jin-Young Kim
Keyword(s):  
Power Generation ◽  
Wind Speed ◽  
Wind Turbine ◽  
Wind Farm ◽  
Free Stream ◽  
Turbine Blades ◽  
Wind Farms ◽  
Lidar Measurement ◽  
Wind Turbine Blades ◽  
Wake Effect

This study analyzed the performance decline of wind turbine with age using the SCADA (Supervisory Control And Data Acquisition) data and the short-term in situ LiDAR (Light Detection and Ranging) measurements taken at the Shinan wind farm located on the coast of Bigeumdo Island in the southwestern sea of South Korea. Existing methods have generally attempted to estimate performance aging through long-term trend analysis of a normalized capacity factor in which wind speed variability is calibrated. However, this study proposes a new method using SCADA data for wind farms whose total operation period is short (less than a decade). That is, the trend of power output deficit between predicted and actual power generation was analyzed in order to estimate performance aging, wherein a theoretically predicted level of power generation was calculated by substituting a free stream wind speed projecting to a wind turbine into its power curve. To calibrate a distorted wind speed measurement in a nacelle anemometer caused by the wake effect resulting from the rotation of wind-turbine blades and the shape of the nacelle, the free stream wind speed was measured using LiDAR remote sensing as the reference data; and the nacelle transfer function, which converts nacelle wind speed into free stream wind speed, was derived. A four-year analysis of the Shinan wind farm showed that the rate of performance aging of the wind turbines was estimated to be −0.52%p/year.

Damage mitigation techniques in wind turbine blades: A review

2017 ◽  
Vol 41 (3) ◽  
pp. 185-210 ◽  
Author(s):  
Md Abu S Shohag ◽  
Emily C Hammel ◽  
David O Olawale ◽  
Okenwa I Okoli
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Structural Elements ◽  
Variable Loading ◽  
Wind Turbine Blades ◽  
Lightning Strikes ◽  
Manufacturing Defects ◽  
Damage Mitigation ◽  
Mitigation Techniques ◽  
Operational Errors

Wind blades are major structural elements of wind turbines, but they are prone to damage like any other composite component. Blade damage can cause sudden structural failure and the associated costs to repair them are high. Therefore, it is important to identify the causation of damage to prevent defects during the manufacturing phase, transportation, and in operation. Generally, damage in wind blades can arise due to manufacturing defects, precipitation and debris, water ingress, variable loading due to wind, operational errors, lightning strikes, and fire. Early detection and mitigation techniques are required to avoid or reduce damage in costly wind turbine blades. This article provides an extensive review of viable solutions and approaches for damage mitigation in wind turbine blades.

scholarly journals Editorial on Special Issue “Wind Turbine Power Optimization Technology”

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1796
Author(s):  
Francesco Castellani ◽  
Davide Astolfi
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Wind Farm ◽  
Power Optimization ◽  
Turbine Blades ◽  
Energy Yield ◽  
Optimization Approach ◽  
Special Issue ◽  
Wind Turbine Blades ◽  
Industry Practice

This Special Issue collects innovative contributions in the field of wind turbine optimization technology. The general motivation of the present Special Issue is given by the fact that there has recently been a considerable boost of the quest for wind turbine efficiency optimization in the academia and in the wind energy practitioners communities. The optimization can be focused on technology and operation of single turbine or a group of machines within a wind farm. This perspective is evidently multi-faced and the seven papers composing this Special Issue provide a representative picture of the most ground-breaking state of the art about the subject. Wind turbine power optimization means scientific research about the design of innovative aerodynamic solutions for wind turbine blades and of wind turbine single or collective control, especially for increasing rotor size and exploitation in offshore environment. It should be noticed that some recently developed aerodynamic and control solutions have become available in the industry practice and therefore an interesting line of development is the assessment of the actual impact of optimization technology for wind turbines operating in field: this calls for non-trivial data analysis and statistical methods. The optimization approach must be 360 degrees; for this reason also offshore resource should be addressed with the most up to date technologies such as floating wind turbines, in particular as regards support structures and platforms to be employed in ocean environment. Finally, wind turbine power optimization means as well improving wind farm efficiency through innovative uses of pre-existent control techniques: this is employed, for example, for active control of wake interactions in order to maximize the energy yield and minimize the fatigue loads.

Electrical and thermal performance of different core materials applied in wind turbine blades under lightning strikes

Wind Energy ◽  
2019 ◽  
Vol 22 (11) ◽  
pp. 1603-1621 ◽  
Author(s):  
Jiangyan Yan ◽  
Guozheng Wang ◽  
Yufei Ma ◽  
Zixin Guo ◽  
Hanwen Ren ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Thermal Performance ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Lightning Strikes ◽  
Core Materials

Puncture position on wind turbine blades and arc path evolution under lightning strikes

2017 ◽  
Vol 122 ◽  
pp. 197-205 ◽  
Author(s):  
Jiangyan Yan ◽  
Qingmin Li ◽  
Zixin Guo ◽  
Yufei Ma ◽  
Guozheng Wang ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Lightning Strikes

scholarly journals Study on Improvement of Lightning Damage Detection Model for Wind Turbine Blade

Machines ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 9
Author(s):  
Takuto Matsui ◽  
Kazuo Yamamoto ◽  
Jun Ogata
Keyword(s):  
Damage Detection ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Detection System ◽  
Turbine Blades ◽  
Lightning Strike ◽  
Wind Turbine Blades ◽  
Lightning Strikes ◽  
Detection Model ◽  
Secondary Damage

There have been many reports of damage to wind turbine blades caused by lightning strikes in Japan. In some of these cases, the blades struck by lightning continue to rotate, causing more serious secondary damage. To prevent such accidents, it is a requirement that a lightning detection system is installed on the wind turbine in areas where winter lightning occurs in Japan. This immediately stops the wind turbine if the system detects a lightning strike. Normally, these wind turbines are restarted after confirming soundness of the blade through visual inspection. However, it is often difficult to confirm the soundness of the blade visually for reasons such as bad weather. This process prolongs the time taken to restart, and it is one of the causes that reduces the availability of the wind turbines. In this research, we constructed a damage detection model for wind turbine blades using machine learning based on SCADA system data and, thereby, considered whether the technology automatically confirms the soundness of wind turbine blades.

scholarly journals A Binary Integer Programming Method for Optimal Wind Turbines Allocation

2021 ◽  
Vol 3 (2) ◽  
pp. 462-473
Author(s):  
Nikolaos M. Manousakis ◽  
Constantinos S. Psomopoulos ◽  
George Ch. Ioannidis ◽  
Stavros D. Kaminaris
Keyword(s):  
Integer Programming ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Wind Farm ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Binary Integer Programming ◽  
Wake Effect ◽  
Square Cells ◽  
Virtual Grid

The present study introduces a Binary Integer Programming (BIP) method to minimize the number of wind turbines needed to be installed in a wind farm. The locations of wind turbines are selected in a virtual grid which is constructed considering a minimum distance between the wind turbines to avoid the wake effect. Additional equality constraints are also included to the proposed formulation to prohibit or enforce the installation of wind turbines placement at specific locations of the wind farmland. Moreover, a microscopic wind turbine placement considering the local air density is studied. To verify the efficiency of this proposal, a square site was subdivided into 25 square cells providing a virtual grid with 36 candidate placement locations. Moreover, a virtual grid with 121 vertices related with a Greek island is also tested. All simulations conducted considering the area of geographical territory, the length of wind turbine blades, as well as the capacity of each turbine.

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