Reliability-based design optimisation framework for wind turbine towers

AlSanad, Shaikha; Wang, Lin; Parol, Jafarali; Kolios, Athanasios

doi:10.1016/j.renene.2020.12.022

Cited by 19 publications

(4 citation statements)

References 21 publications

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“…Also, for the wind turbines, one of the first things that is considered when studying their reliability is the random variables involved in the related models. It can be seen in the literature that the wind speed and the wind angle are the main random variables when formulating reliability analysis problems of wind turbines (Al Sanad et al, 2021; Eryilmaz et al, 2021). Therefore, in this paper, these two random variables are employed to propose a new reliability analysis problem for the wind turbines.…”

Section: Wind Turbine Electricity Power Formulationmentioning

confidence: 99%

Introducing a new system performance function to formulate reliability analysis problems of wind turbines

Artin

2023

Wind Engineering

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Consideration of safety is one of the current requirements to design a new system that is often implemented by defining the system failure probability. Renewable energy systems (RESs) do have the same requirements when it comes to safety and reliability. When designing a wind turbine, as a RES, its reliability is of the highest importance. So, efficient reliability models are required to ensure the turbine is working safely to generate electricity. A new model is introduced in this paper by taking into account the wind speed and the wind angle as two effective factors. These two random variables are reported to follow the Gaussian and Weibull probability distributions, and so are employed to define a limit-state function for the turbines. This limit-state function, which is also called system performance function, will then be used to find out the system failure probability.

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Section: Wind Turbine Electricity Power Formulationmentioning

confidence: 99%

Introducing a new system performance function to formulate reliability analysis problems of wind turbines

Artin

2023

Wind Engineering

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“…Results of the assessment show that there is good agreement in the deflection calculated using the analytical method compared to the developed FEA model approximately predicts (since the percentage difference calculated is less than ten (10%)), which demonstrates the scientific soundness of the FEA model adopted herein. Response surface modelling (RSM) methodologies are now extensively used within the field of SRA, as noted by several studies (Al-Sanad et al 2021;Ivanhoe et al 2020;Shittu 2020;Shittu et al 2020d, c; owing to their capability of enhanced LSF approximations with high fidelity. LSF concepts as derived from these sources are adapted in the present study as presented in the upcoming Subsections.…”

Section: Validationmentioning

confidence: 99%

A stochastic framework for the assessment of horizontally curved aluminium bridge decks on steel girders

et al. 2022

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“…Yang Fan et al [22] established a wind-storage-vehicle capacity stochastic planning method for wind power output uncertainty with multi-scenario operation simulation, which can efficiently participate in source-load interactions and obtain a capacity configuration with better robustness. Sanad et al [23] proposed a reliability design optimization method for wind turbine towers that can accurately take into account the uncertainty of wind loads and material properties, and the results showed that the optimal design of the tower can be accurately achieved to meet the target reliability. Zhang Yongbin et al [24] considered the uncertainty of the output power of distributed power sources, established a distribution network grid planning model based on fuzzy theory, and solved the model by combining it with genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

Interval Uncertainty Optimization Method for Electromagnetic Orbital Launcher

Jin,

Liu,

Song

et al. 2023

Applied Sciences

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The performance optimization and reliability of electromagnetic orbital launchers need to take into account the uncertainties that exist in the manufacturing and service processes. Considering that it is difficult to identify the problem of the parameter probability distribution in advance for electromagnetic orbital launchers, this paper uses the interval number to describe the uncertain variables and realizes the conversion of uncertainty optimization into deterministic optimization problems based on interval sequential relations; moreover, it establishes interval uncertainty optimization methods. The converted deterministic optimization problem is solved by combining a high-precision proxy model with an optimization algorithm to search for the optimal solution set. Finally, reliability estimation is achieved by taking the armature of the electromagnetic orbital launcher as the optimization object. The computational example proves that the method is able to deal with the optimization problem of the parameter interval of an electromagnetic orbital launcher containing uncertain parameters and has good engineering applicability.

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Reliability-based design optimisation framework for wind turbine towers

Cited by 19 publications

References 21 publications

Introducing a new system performance function to formulate reliability analysis problems of wind turbines

Introducing a new system performance function to formulate reliability analysis problems of wind turbines

A stochastic framework for the assessment of horizontally curved aluminium bridge decks on steel girders

Interval Uncertainty Optimization Method for Electromagnetic Orbital Launcher

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