Impact of turbulence induced loads and wave kinematic models on fatigue reliability estimates of offshore wind turbine monopiles

Colone, Lorenzo; Natarajan, Anand; Dimitrov, Nikolay Krasimirov

doi:10.1016/j.oceaneng.2018.02.045

Cited by 18 publications

(7 citation statements)

References 19 publications

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“…Also example studies of the influence of wake effects on the turbine reliability can be seen in Kim et al (2012) and Huang and Chiang (2006). Previous work aimed at defining a relationship between fatigue and extreme loading conditions on a turbine and its reliability can be found in Colone et al (2018) and Scott et al (2012). Colone et al (2018) modeled the impact of turbulence induced loads on the fatigue reliability of offshore wind turbine monopiles.…”

Section: Background and Related Workmentioning

confidence: 99%

A surrogate model approach for associating wind farm load variations with turbine failures

Schröder¹,

Dimitrov²,

Verelst³

2020

Preprint

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Abstract. In order to ensure structural reliability, wind turbine design is typically based on the assumption of gradual degradation of material properties (fatigue loading). However, the relation between the wake-induced load exposure of turbines and the reliability of their major components has not been sufficiently well defined and demonstrated. This study suggests a methodology that makes it possible to correlate loads with reliability of turbines in wind farms in a computationally efficient way by combining physical modeling with machine learning. It can be used for estimating the current health state of a turbine and enables a more precise prediction of the load budget, i.e. the effect of load-induced degradation and faults on the operating costs of wind farms. The suggested approach is demonstrated on an offshore wind farm for comparing performance, loads and lifetime estimations against recorded main bearing failures from maintenance reports. The validation of the estimated power against the 10-min SCADA power signals shows that the surrogate model is able to capture the power performance relatively well with a 1.5 % average error in the prediction of the Annual Energy Production (AEP). It is found that turbines positioned at the border of the wind farm with a higher expected AEP are estimated to experience earlier main bearing failures.

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Section: Background and Related Workmentioning

confidence: 99%

A surrogate model approach for associating wind farm load variations with turbine failures

Schröder¹,

Dimitrov²,

Verelst³

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…It is indicated that the reliability index can be found using the first order reliability method (FORM). Furthermore, the impact of turbulence and wave loads, obtained from the full joint probability distribution of wind speed, Monte Carlo (MC) simulations, and IEC standards, on the fatigue reliability of the pile foundations for a 5 MW OWT was investigated [187]. The study results aimed to quantify the influence of environmental models on monopile reliability based on the estimated probability of failure.…”

Section: Reliability Analysis and Safety Evaluationmentioning

confidence: 99%

Health Monitoring and Safety Evaluation of the Offshore Wind Turbine Structure: A Review and Discussion of Future Development

et al. 2019

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With the depletion of fossil energy, offshore wind power has become an irreplaceable energy source for most countries in the world. In recent years, offshore wind power generation has presented the gradual development trend of larger capacity, taller towers, and longer blades. The more flexible towers and blades have led to the structural operational safety of the offshore wind turbine (OWT) receiving increasing worldwide attention. From this perspective, health monitoring systems and operational safety evaluation techniques of the offshore wind turbine structure, including the monitoring system category, data acquisition and transmission, feature information extraction and identification, safety evaluation and reliability analysis, and the intelligent operation and maintenance, were systematically investigated and summarized in this paper. Furthermore, a review of the current status, advantages, disadvantages, and the future development trend of existing systems and techniques was also carried out. Particularly, the offshore wind power industry will continue to develop into deep ocean areas in the next 30 years in China. Practical and reliable health monitoring systems and safety evaluation techniques are increasingly critical for offshore wind farms. Simultaneously, they have great significance for strengthening operation management, making efficient decisions, and reducing failure risks, and are also the key link in ensuring safe energy compositions and achieving energy development targets in China. The aims of this article are to inform more scholars and experts about the status of the health monitoring and safety evaluation of the offshore wind turbine structure, and to contribute toward improving the efficiency of the corresponding systems and techniques.

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“…[5,6]. While others show that non-linear loads can potentially reduce the lifetime significantly [29,30]. This section studies the structural reliability impact of a second order load model compared to linear wave loads on the foundation fatigue damage.…”

Section: Uncertainty In Wave Loadsmentioning

confidence: 99%

Impact of model uncertainties on the fatigue reliability of offshore wind turbines

2019

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The impact of environmental load uncertainties on the spatial fatigue reliability of offshore wind turbine foundations is discussed and exemplified. Design procedures are utilizing overall or partial safety factors to include different model-and statistical uncertainties. Uncertainties in the final design are related to decisions taken during the design process, such as; load models, analysis methods and statistical descriptions. Furthermore, to benefit from more elaborate methods, strategies to account for reduced uncertainties by increased knowledge must be adopted. This is especially important for the offshore wind energy industry, where the aim is to produce renewable energy at a competitive cost level. The challenges and consequences of using a detailed design basis are exemplified and discussed through structural reliability analyses. Epistemic load effect uncertainties related to the foundation fatigue will be presented for a detailed wind directional model, wind-wave misalignment, and a second order wave load model. It will be shown that all of these represent important uncertainties to consider during the fatigue design of an offshore wind farm.

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Impact of turbulence induced loads and wave kinematic models on fatigue reliability estimates of offshore wind turbine monopiles

Cited by 18 publications

References 19 publications

A surrogate model approach for associating wind farm load variations with turbine failures

A surrogate model approach for associating wind farm load variations with turbine failures

Health Monitoring and Safety Evaluation of the Offshore Wind Turbine Structure: A Review and Discussion of Future Development

Impact of model uncertainties on the fatigue reliability of offshore wind turbines

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