Challenges in the reliability and maintainability data collection for offshore wind turbines

Hameed, Z.; Vatn, Jørn; Heggset, J.

doi:10.1016/j.renene.2011.01.008

Cited by 80 publications

(50 citation statements)

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“…For example, Kim, et al (2008) proposed the conceptual model for determining optimal maintenance interval after evaluating the effect on RAMS centered maintenance system for railway. Hameed, Vatn, and Heggset (2011) emphasized that failure mechanisms, failure models and operational conditions of wind turbines component should be collected in RAMS data based, after reviewing challenges in reliability and maintainability data collection for offshore wind turbines. Duarte, Cunha, and Craveiro (2013) showed that the reliability characteristics of equipment which is evaluated in design phase could partially change during the operational phase with huge effect on performance of production facilities.…”

Section: Figure 1 -Definition Of Railway Rams Elementsmentioning

confidence: 99%

Application of IoT for the Maintaining Rolling Stocks

Park

Kim²,

Won³

2017

QIP Journal

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Purpose: This paper presents a framework for simulation on IoT based CBM (condition based monitoring) for rolling stocks. This enables to allocate maintenance resources effectively while satisfying preventive maintenance requirements. Methodology/Approach:We exploits Reliability centered maintenance (RCM) based on KTX (Korea Tran eXpress, Korea's high-speed rail system) motor reduction unit failure data for three years by utilising the internet of things (IoT) and RAMS (Reliability, Availability, Maintainability, Safety) methods. Findings:We come up with the predictive maintenance indicator; reliability functions as to the desired service level; and the failure and defect prediction indicator takes the form of cumulative failure function in the form of probability distribution function, which aim to realise the real-time condition monitoring and maintaining technical support services. Internet of Things (IoT) has been an important apparatus to improve the maintenance efficiency.Research Limitation/implication: This paper has limitations that the data are collected from references, not actual data; the detailed descriptions of IoT application to the railway rolling stocks are omitted, and it is not dealt in depth how maintenance efforts and performance are improved through the suggested reliability centered maintenance. Originality/Value of paper:This study has the academic importance in a sense that it integrates RAMS based maintenance methods and IoT. RAMS centered maintenance provides powerful rules for deciding a failure management policy; when it is technically appropriate; and for providing precise criteria for deciding how often routine tasks should be carried out. It will lead to the improved cost efficiency, sustainability and maintainability of railway maintenance system since the staff do not have to visit installation sites frequently. Lately, there is general agreement that prevention was better than inspection and that an increase in preventive cost was the means of reducing total quality costs. In connection with this issue, we will address the way of reducing failure costs and prevention costs with IoT: new appraisal method.

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Section: Figure 1 -Definition Of Railway Rams Elementsmentioning

confidence: 99%

Application of IoT for the Maintaining Rolling Stocks

Park

Kim²,

Won³

2017

QIP Journal

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Section: Introductionmentioning

confidence: 99%

“…The second half presents a case study on WT gearbox through-life support, which takes further previous work by the authors (see [1]) by going through the key steps of identifying the TES requirements and needs and its implementation. A focus will be placed on how TES can be applied to offshore WFs since the impacts of poorly understood and executed inservice phase on O&M costs are far greater in offshore applications, and furthermore offshore wind is still in its nascent stages [4].The main contributions of this paper is as follows:This paper closes the gaps in literature in the topic of TES in the wind industry. As at the time of writing this paper, there was little literature in the research domain that dealt with the topic which is of importance for the wind industry.…”

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confidence: 97%

Through-life engineering services of wind turbines

Igba

Alemzadeh

Durugbo

et al. 2017

CIRP Journal of Manufacturing Science and Technology

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IntroductionRenewable and alternative energy technologies have developed from very small scale R&D projects to commercial technologies, contributing to the global energy and power generation mix [1]. Of significance is the power generation from wind energy which is now a very popular source of clean energy, having had an exponential growth in the last two decades (see Fig. 1) and currently generating about 2.5% of global electricity supply [2]. This growth has been forecasted to continue, as the amount of global electricity that could be supplied by wind in 2020 is estimated to be between 8 and 12% [2].As the typical WT is designed for at least a 20 year life time, there is an essential need for through-life support in order to sustain the continuous operation of the WTs at a minimum lifecycle cost. However, designing, delivering and most especially, supporting WTs are not without challenges, one of which is as a result of the nature of their operating environments (offshore locations in particular). Also, as governments reduce or pull out from subsidies and tax credits, the industry is faced with a challenge of cost reduction (both on the product design and manufacture, and the O&M costs) so as to be as competitive as the conventional and nuclear power sectors with relatively low cost of energy.This paper is in two parts: the first half explores the original topic of TES in the wind industry, presented by the authors in an earlier publication [1], by identifying the state-of-the-art and current challenges of TES in the wind industry. Also, a forward looking perspective is taken by identifying possible opportunities which could address the challenges and meet future TES needs and requirements in the industry. The second half presents a case study on WT gearbox through-life support, which takes further previous work by the authors (see [1]) by going through the key steps of identifying the TES requirements and needs and its implementation. A focus will be placed on how TES can be applied to offshore WFs since the impacts of poorly understood and executed inservice phase on O&M costs are far greater in offshore applications, and furthermore offshore wind is still in its nascent stages [4].The main contributions of this paper is as follows:This paper closes the gaps in literature in the topic of TES in the wind industry. As at the time of writing this paper, there was little literature in the research domain that dealt with the topic which is of importance for the wind industry. The past decade has seen exponential yearly growth in installed capacity wind energy power generation. As a result, wind farm (WF) projects have evolved from small scale isolated installations into complex utility scale power generation systems comprising of arrays of large wind turbines (WTs), which are designed to operate in harsh environments. However, this has increased the need for through-life engineering service (TES) for WTs especially in offshore applications, where the operations and maintenance (O&M) becomes more complicated as a...

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“…It is thus no surprise that their outlook for the future is so bright. They are projected to grow 60% over the next 10 years (Hameed et al, 2011), and this growth is expected to be exponential, such that by 2020 the world will have a total installed capacity of 1 million MW (Gsänger & Pitteloud 2012). In some countries, such as Spain, the current installed wind power capacity was already enough to meet up to 22% of the average annual electricity demand in 2013.…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria decision-making model for assessing the sustainability index of wind-turbine support systems: application to a new precast concrete alternative

Fuente

Armengou

Pons

et al. 2016

Journal of Civil Engineering and Management

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A multi-criteria decision-making system based on the MIVES method is presented as a model for assessing the global sustainability index scores of existing wind-turbine support systems. This model is specifically designed to discriminate between tower systems in order to minimize the subjectivity of the decision and, thus, facilitate the task of deciding which system is best for a given set of boundary conditions (e.g., height, turbine power, soil conditions) and economic, social and environmental requirements. The model’s versatility is proven by assessing the sustainability index of an innovative new precast concrete tower alternative also described in this paper. As a result of this analysis, some points of improvement in the new system have been detected.

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Challenges in the reliability and maintainability data collection for offshore wind turbines

Cited by 80 publications

References 1 publication

Application of IoT for the Maintaining Rolling Stocks

Application of IoT for the Maintaining Rolling Stocks

Through-life engineering services of wind turbines

Multi-criteria decision-making model for assessing the sustainability index of wind-turbine support systems: application to a new precast concrete alternative

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