ArticlePDF Available

Abstract and Figures

Since almost two decades the technical, economical progress and development of wind power technology, its var-ious applications and implementations into the existing network show an outstanding success in Germany. About 17,400 wind turbines with 18.3 Gigawatt installed capacity were on-line by the end of 2005. This huge number of decentralised power stations have the ability to supply more than 30 TWh electricity per year to the mains, which equals a share of about 6% of Germany’s total electricity consumption. After all, these achievements were supported by long term policy and RD&D measures. One crucial basis of this success story definitely can get allocated to the “250 MW Wind”-programme and its accompanying and still ongoing “Scientific Monitoring and Evaluation Programme (WMEP)”. The WMEP holds intensive and long term data on turbine production, reliability, economics and wind resources for more than 1,500 wind turbines including almost every commercial turbine type since 1989. Even some operators of up-to-date wind turbines types contribute on a voluntarily basis to the monitoring programme. The WMEP runs a remotely operated wind data acquisition network that continuously collects information on wind conditions and turbine performance from coastal, inland and mountainous turbines all over Germany. Operator reports and measurement data form a unique knowledge base, its data is being extensively used for many project related evaluations and other wind energy research activities as well. The data is also being used as one backbone for the development and improvement of ISET’s wind power prediction and online monitoring tools. These are being used by German utilities and transmission system operators (TSO) since several years.
Content may be subject to copyright.
Reliability of Wind Turbines
Experiences of 15 years with 1,500 WTs
Berthold Hahn, Michael Durstewitz, Kurt Rohrig
Institut für Solare Energieversorgungstechnik (ISET)
Verein an der Universität Kassel e.V., 34119 Kassel, Germany
INTRODUCTION
With the rapid expansion of wind energy use in Germany over the past fif-
teen years, extensive developments in wind turbine technology have taken
place. The new technology has achieved such a level of quality, that wind
turbines obtain a technical availability of 98 percent.
This means that an average wind turbine (WT) will be inactive for
around one week per year for repairs and maintenance. Considering that
the WTs operate over years without operating personnel, this average
downtime seems short. The paper gives some figures about reliability of
wind turbines, failures and downtimes for wind turbines and components.
DATA BASIS
In the framework of the „250 MW Wind“ Programme, ISET is monitoring
over 1,500 WTs in operation. Over a period of 15 years now, WTs with a
variety of different technical conceptions and installed in different regions
in Germany have been included in the programme. So, from these turbines,
the experiences of up to 15 operating years are readily available. On aver-
age, the participating turbines have completed ten years of operation.
Operators of the supported WTs regularly report to ISET concerning en-
ergy yields, maintenance and repairs, and operating costs. In form sheets
for maintenance and repair, the operators report on the downtimes caused
by malfunctions, the damaged components and - as far as possible - the
causes and obvious effects on turbines and operation.
Most of these supported WTs have a rated power below 1 mega-watt.
Thus, in the recent years operators of mega-watt WTs where asked quite
2 Berthold Hahn, Michael Durstewitz, Kurt Rohrig
successfully to contribute to the programme on a voluntary basis. So, ex-
periences of the recent models can be included into the evaluations as well.
Up to now, over 60,000 reports on maintenance and repair have been
submitted to ISET. Standardized evaluations are published in the ‘Wind
Energy Report’ [1], which is updated annually.
Break down of Wind Turbines
Usually, WTs are designed to operate for a period of 20 years. But, no fi-
nal statement can be made yet concerning the actual life expectancy of
modern WTs as, until now, no operational experience of such period is
available. Changes in reliability with increasing operational age can, how-
ever, provide indications of the expected lifetime and the amount of up-
keep required. Reliability can be expressed by the number of failures per
unit of time, i. e. ‘Failure Rate’. In the following, the failure rates of WTs
depending on their operational age will be depicted (Fig. 1).
It is clear that the failure rates of the WTs now installed, have almost
continually declined in the first operational years. This is true for the older
turbines under 500 kW and for the 500/600 kW class. However, the group
of mega-watt WTs show a significantly higher failure rate, which also de-
clines by increasing age. But, including now more and more mega-watt
WT models of the newest generation, the failure rate in the first year of
operation is being reduced.
Fig. 1. Frequency of ‘failure rate’ with increasing operational age
The principal development of failure rates is well known in other technical
areas. ‘Early failures’ often mark the beginning of operation. This phase is
0
1
2
3
4
5
6
7
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Operational Year
Annual Failure Rate
Rate Power < 500 kW
Rated Power 500 - 999 kW
Rated Power >= 1000 kW
Reliability of Wind Turbines
Experiences of 15 years with 1,500 WTs 3
generally followed by a longer period of ‘random failures’, before the fail-
ure rate through wear and damage accumulation (‘wear-out failures’) in-
creases with operational age.
The total life period and the individual phases are naturally distinct for
different technical systems. For WTs, hardly any experience is available in
this respect. Based on the above evaluations, however, for the WTs under
500kW it can be expected that the failure rate due to ‘wear-out failures’
does not increase before the 15
th
year of operation.
MAL-FUNCTIONS OF COMPONENTS
The reported downtimes are caused by both regular maintenance and un-
foreseen malfunctions. The following evaluations refer only to the latter,
which concerned half mechanical and half electrical components. (Fig. 2).
Fig. 2. Share of main components of total number of failures
Besides failure rates, the downtimes of the machines after a failure are an
important value to describe the reliability of a machine.
The duration of downtimes, caused by malfunctions, are dependent on
necessary repair work, on the availability of replacement parts and on the
personnel capacity of service teams. In the past, repairs to generator [2],
drive train, hub, gearbox and blades have often caused standstill periods of
several weeks.
Electrical
System
23%
Generator
4%
Rotor Blades
7%
Rotor Hub
5%
Structural
Parts / Housing
4%
Yaw System
8%
Sensors
10%
Plant Control
System
18%
Gearbox
4%
Mechanical
Brake
6%
Drive Train
2%
Hydraulik
System
9%
Reports in Total: 34582
4 Berthold Hahn, Michael Durstewitz, Kurt Rohrig
Taking into account all the reported repair measures now available, the
average failure rate and the average downtime per component can be given
(Fig. 3). It gets clear, that the downtimes declined in the past five to ten
years. So, the high number of failures of some components is now bal-
anced out to a certain extent by short standstill periods. But still, damages
of generators, gear boxes, and drive trains are of high relevance due to
long downtimes of about one week as an average.
Drive Train
Supporting Structure /Housing
Generator
Gearbox
Rotor Hub
Mechanical Brake
Rotor Blades
Yaw System
Hydraulic System
Sensors
Electronic Control
Electrical System
Down time per failure [days]
A
nnual failure frequency [-]
1 0
,
75 0
,
5 0
,
25 0 2 4 6 8
Fig. 3. Failure Frequency and downtimes of components
Conclusion
Wind turbines achieve an excellent technical availability of about 98% on
average, although they have to face a high number of malfunctions. It can
be assumed that these good availability figures can only be achieved by a
high number of service teams who respond to turbine failures within short
time. In order to further improve the reliability of WTs, the designers have
to better the electric and electronic components. This is particularly true
and absolutely necessary in the case of new and large turbines.
References
1. C Ensslin, M Durstewitz, B Hahn, B Lange, K Rohrig (2005) German
Wind Energy Report 2005. ISET, Kassel
2. M Durstewitz, R Wengler (1998) Analyses of Generator Failure of Wind
Turbines in Germanys ‘250 MW Wind’ Programme, Study. ISET, Kassel
... Figure 10.2 illustrates the failure rates of power semiconductor devices in four highly demanding industrial applications. In wind energy systems, a survey conducted over a span of 15 years on 1500 wind turbines indicated that approximately 23% of the reported malfunctions (34,582) were attributed to electrical system failures, with wind energy power converters exhibiting the highest failure rate distribution [19] (Fig. 10.2a). Similarly, in utility-scale-grid-connected photovoltaic (PV) systems, a survey revealed that 37% of unscheduled maintenance events between 2001 and 2006 accounted for 59% of the overall maintenance cost. ...
... A survey on the failure rate of The percentage failure rate of power devices against other components was compiled based on the survey reports in high-power demanding industrial applications. (a) In wind energy systems, power converters have the highest distribution of the failure rate [19]. (b) The power inverter malfunction in PV systems accounted for 37% unscheduled maintenance [20,21]. ...
Chapter
The increasing awareness of environmental concerns and sustainability underlines the importance of energy-efficient systems, renewable energy technologies, electric vehicles, and smart grids. Hence, stringent constraints and safety regulations have been prompted to meet reliability standards in power electronics. This chapter provides a comprehensive outlook on the current state of power semiconductor devices, field-critical applications, dominant degradation mechanism (chip-related and package-related), and the emerging measurement techniques for reliability/condition monitoring. This chapter delves into the underlying physics behind each reliability measurement method reviewed. A comparative summary of cost, complexity, online monitoring capability, accuracy, and intrusiveness is provided to enable readers to make informed decisions about the measurement methods. This chapter emphasizes the significance of early fault detection through online monitoring, as it can effectively reduce system downtime for seamless non-interruptive operation.
... Micro [15], [16], [17] Pelton turbines have an electrical output capacity ranging from 5 kW to 50 kW [18], [19], ...
Article
Full-text available
In industry 5.0 availability of electricity plays an important role in the economic development of the community. In the villages on the slopes of the mountain there are still some villages that have not been connected to electricity so that the economic activity of the community is disrupted. Micro hydro electricity generation technology can be a solution to overcome the problem of the need for electrical energy in villages around the mountain slopes by utilizing differences in the height of the area and the flow rate of water from the river which has the potential to act as a turbine generator to be used as electricity to flow into the community to support community economic activities around the mountain slope. along with the existence of energy containers, the economy of the people on the slopes of the mountain will develop.
... Recent advancements in power electronics reliability research are provided in [2]. Surveys conducted across various highly demanding industrial applications indicate power semiconductor devices to be particularly susceptible to failures [3][4][5][6][7][8]. Power devices in field-critical applications undergo various stresses, including electrical overstress, mechanical vibrations, environmental humidity, and temperature fluctuations. ...
Article
This paper introduces an online condition monitoring strategy that utilizes a transient heat pulse to detect package thermal performance degradation. The metric employed is the temperature-dependent transient thermal impedance ”Zth(t,Tamb).” The proposed methodology offers quantitative insights into the package thermal performance degradation and effectively pinpoints the presence of multiple failure mechanisms. A Thermal Test Chip assembled in a Power Quad Flat No-Lead package was used in this study to demonstrate the methodology. The packaged devices were first characterized to determine the transient pulse duration, a critical parameter to monitor a specific region of interest. Subsequently, the package thermal performance degradation was continuously monitored online during Thermo-Mechanical Cycling Lifetime experiments. The validity of the measurement results was later confirmed through acoustic imaging and cross-sectional analysis. The changes observed in Zth(t,Tamb) over thermal cycling corresponds to the delamination of the active metal layers on the die and cohesive failure on the die-attach. This paper further includes a comparative summary, highlighting the distinctions between the proposed and industrystandard test methods. In conclusion, the importance of online condition monitoring to detect early signs of failure was emphasized, and the proposed methodology's practical applicability in real-life scenarios was briefly discussed.
... They have claimed that the edges can be exposed to strong storm winds, raindrops or hail, falling with velocities higher than 100 m/s, lightning, repeated wind loads, and shear effects, which can introduce intensive hammer or fatigue loads, potentially causing several different types of structural damage. Some authors have shown that the wind turbine damage frequency to all mechanical systems and structures is almost equal, whereas others have focused on intelligent techniques [5,21,22]. Their experience for 15 years has covered all failures of mechanical and electrical components. Finally, Ma et al. have introduced a historical overview of wind turbine tower collapse cases [6]. ...
... Relevant literature studies show that the failure of critical mechanical components of wind turbines, especially the mechanical failure of the main drive, is the main factor causing the loss of wind power generation and significant accidents of wind turbines [2][3][4][5][6][7] . ...
Article
Full-text available
An optimised design was carried out based on the original semi-physical simulation system for the main drive chain of a wind turbine. The input of upper computer simulating wind condition, the safety control of electrical signal and vibration signal acquisition module, relay and AC contactor and dual motor control were added. Simultaneously, the simulation schemes of some common faults on the main drive of wind turbines were also designed in order to perform the experimental simulation of the single fault and multi fault. The primary purpose of simulation is to use practical approaches(such as FFT,EMD)to analyze the changes of the fault signals based on the collected electrical signals, and to determine whether there is a fault through comparison and theoretical analysis. In addition, it aimed for verifying the feasibility of electrical signals under multi-fault conditions, and discussing advantages of electrical signals over vibration signals.
Article
Full-text available
Offshore wind turbine drive train technology is evolving as developers increase size, aim to maximise availability and adapt to changing electricity grid requirements. This work first of all explores offshore technology market trends observed in Europe, providing a comprehensive overview of installed and planned capacity, showing a clear shift from smaller high-speed geared machines to larger direct-drive machines. To examine the implications of this shift in technology on reliability, stop rates for direct-drive and gear-driven turbines are compared between 39 farms across Europe and South America. This showed several key similarities between configurations, with the electrical system contributing to largest amount of turbine downtime in either case. When considering overall downtime across all components, the direct-drive machine had the highest value, which could be mainly attributed to comparatively higher downtime associated with the electrical, generator and control systems. For this study, downtime related to the gearbox and generator of the gear-driven turbine was calculated at approximately half of that of the direct-drive generator downtime. Finally, from a perspective of both reliability and fault diagnostics at component level, it is important to understand the key similarities and differences that would allow lessons learned on older technology to be adapted and transferred to newer models. This work presents a framework for assessing diagnostic models published in the literature, more specifically whether a particular failure mode and required input data will transfer well between geared and direct-drive machines. Results from 35 models found in the literature shows that the most transferable diagnostic models relate to the hydraulic, pitch and yaw systems, while the least transferable models relate to the gearbox. Faults associated with the generator, shafts and bearings are failure mode specific, but generally require some level of modification to adapt features to available data.
Article
Full-text available
This paper presents the optimization of the lubrication method of a helical bevel gearbox, which is part of a pickling line. The first gear stage of this gearbox showed frequent failures. The bevel gearing and bearings were damaged. Damage analysis was performed, based on which a change in bevel gearing and bearing lubrication was proposed. In this case, the original transmission was lubricated by dip lubrication. The bevel gear wheel was insufficiently submerged below the lubricating oil level. Due to insufficient lubrication of the bevel gearing, both gear wheels, the bevel pinion, and the bevel wheel were damaged. Central circulating lubrication has been proposed for the bevel gear pair and first gearbox shaft bearings. This paper deals with the design of circulating lubrication components. Changes and modifications to an existing lubrication system are proposed. The layout of the gearbox in question was not originally designed and adapted for the circulating lubrication required. To improve the original lubrication system, it was decided that it should be redesigned with central circulating lubrication, which meant implementing the necessary gearbox casing modifications. Our novel contribution is the proposition of an innovative transmission lubrication system aimed at increasing the service life parameters of the transmission. After the implementation of the proposed modifications to the lubrication method, a period of monitoring the operating characteristics of the gearbox followed. With the modification of the lubrication system of the bevel gear pair, the temperature on the gearing surface was lowered by 39%. The service life of the gearbox increased from the original 1.9 years to at least 5 years. On the basis of the long-term monitoring of changes caused by the adjustment of the lubrication method, we can state that the requirement was met, and the frequent failures of this gearbox were eliminated.
Article
This work proposes a new fault diagnosis approach for a wind energy conversion (WEC) system. The proposed technique merges the benefits of feature extraction based on Gaussian Process Regression (GPR) and Multi-Class Random Forest (MCRF)-based fault classification where instances are classified into one or more classes. In the developed GPR-MCRF approach, the nonlinear statistical features including the mean vector MGPR and the variance matrix CGPR are computed using the GPR model with aim of extracting the most relevant features from the WEC system. Then, these features are introduced to the RF classifier for classification and diagnosis purposes. Therefore, the application of the GPR-MCRF technique for WEC systems aims to enhance the use of the classical raw data-based MCRF and diagnosis accuracy. Three kinds of faults (wear-out, open-circuit, and short-circuit faults) are considered in this work. Different case studies are investigated in order to illustrate the effectiveness and robustness of the developed technique compared to the state-of-the-art methods. The obtained results show that the the developed GPR-MCRF technique is an effective feature extraction and fault diagnosis technique for WEC systems.
Article
Full-text available
A complete surveillance strategy for wind turbines requires both the condition monitoring (CM) of their mechanical components and the structural health monitoring (SHM) of their load-bearing structural elements (foundations, tower, and blades). Therefore, it spans both the civil and mechanical engineering fields. Several traditional and advanced non-destructive techniques (NDTs) have been proposed for both areas of application throughout the last years. These include visual inspection (VI), acoustic emissions (AEs), ultrasonic testing (UT), infrared thermography (IRT), radiographic testing (RT), electromagnetic testing (ET), oil monitoring, and many other methods. These NDTs can be performed by human personnel, robots, or unmanned aerial vehicles (UAVs); they can also be applied both for isolated wind turbines or systematically for whole onshore or offshore wind farms. These non-destructive approaches have been extensively reviewed here; more than 300 scientific articles, technical reports, and other documents are included in this review, encompassing all the main aspects of these survey strategies. Particular attention was dedicated to the latest developments in the last two decades (2000–2021). Highly influential research works, which received major attention from the scientific community, are highlighted and commented upon. Furthermore, for each strategy, a selection of relevant applications is reported by way of example, including newer and less developed strategies as well.
Analyses of Generator Failure of Wind Turbines in Germanys '250 MW Wind' Programme
  • M Durstewitz
  • R Wengler
M Durstewitz, R Wengler (1998) Analyses of Generator Failure of Wind Turbines in Germanys '250 MW Wind' Programme, Study. ISET, Kassel