Optimal Maintenance Management of Offshore Wind Farms

Marugán, Alberto Pliego; Márquez, Fausto Pedro García; Pérez, Jesús María Pinar

doi:10.3390/en9010046

Cited by 78 publications

(45 citation statements)

References 61 publications

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“…Many research studies have been carried out to optimize these tasks for offshore and onshore location . The early detection of component faults enables the reduction of energy losses, downtimes, O&M costs, and consequently, the cost of energy (COE) .…”

Section: Introductionmentioning

confidence: 99%

Advanced analytics for detection and diagnosis of false alarms and faults: A real case study

Marugán

Márquez

2019

Wind Energy

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Onshore and offshore wind farms require a high level of advanced maintenance. Supervisory control and data acquisition (SCADA) and condition monitoring systems are now being employed, generating large amounts of data. They require robust and flexible approaches to convert dataset into useful information. This paper presents a novel approach based on the correlations of SCADA variables to detect and identify faults and false alarms in wind turbines. A correlation matrix between all the SCADA variables is used for pattern recognition. A new method based on curve fittings is employed for detecting false alarms and abnormal behaviours or faults in the components. The study is done in a real case study, validated with false alarms.

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Section: Introductionmentioning

confidence: 99%

Advanced analytics for detection and diagnosis of false alarms and faults: A real case study

Marugán

Márquez

2019

Wind Energy

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“…• the energy potential (wind power) offshore is greater than onshore [10,11], • the wind farm size may be greater offshore than onshore [11], • lower environmental impact of offshore wind farms compared to the onshore ones [11], • offshore farms raise less social opposition, because the noise and visual impact are less onerous for the local communities [10].…”

Section: Introductionmentioning

confidence: 99%

“…• more difficult assessment of the wind characteristics, • higher investment costs, • higher operating and maintenance costs [11].…”

Section: Introductionmentioning

confidence: 99%

Using the PROSA Method in Offshore Wind Farm Location Problems

et al. 2017

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Abstract:Wind is the most used renewable energy source (RES) in the European Union and Poland. Due to the legal changes in the scope of RES in Poland, there are plans to develop offshore wind farms at the expense of onshore ones. On the other hand, the success of an offshore wind farm is primarily determined by its location. Therefore, the aim of this study is to select offshore wind farm locations in Poland, based on sustainability assessment, which is an inherent aspect of RES decision-making issues. To accomplish the objectives of this research, PROSA (PROMETHEE for Sustainability Assessment) method, a new multi-criteria method is proposed. Like PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation), PROSA is transparent for decision makers and is easy to use; moreover, it provides the analytical tools available in PROMETHEE, i.e., the sensitivity and GAIA (Geometrical Analysis for Interactive Assistance) analyses. However, PROSA is characterized by a lower degree of criteria compensation than PROMETHEE. Thus, it adheres in a higher degree to the strong sustainability paradigm. The study also compared the solutions of the decision problem obtained with the use of PROSA and PROMETHEE methods. The compared methods demonstrated a high concurrence of the recommended decision-making variant of location selection, from methodological and practical points of view. At the same time, the conducted research allowed to confirm that the PROSA method recommends more sustainable decision-making variants, and that the ranking it builds is less sensitive to changes in criteria weights. Therefore, it is more stable than the PROMETHEE-based ranking.

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“…Condition monitoring systems (CMS) [7,8] are extensively employed to improve the WT availability and reduce the O&M costs. However, there is a degree of uncertainty about the appropriateness of applying specific maintenance policies to the components of a WT [9].…”

Section: Introductionmentioning

confidence: 99%

Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines

et al. 2017

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Electrical and electronic components are very important subcomponents in modern industrial wind turbines. Complex multimegawatt wind turbines are continuously being installed both onshore and offshore, continuously increasing the demand for sophisticated electronic and electrical components. In this work, most critical electrical and electronic components in industrial wind turbines have been identified and the applicability of appropriate condition monitoring processes simulated. A fault tree dynamic analysis has been carried out by binary decision diagrams to obtain the system failure probability over time and using different time increments to evaluate the system. This analysis allows critical electrical and electronic components of the converters to be identified in different conditions. The results can be used to develop a scheduled maintenance that improves the decision making and reduces the maintenance costs.

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Optimal Maintenance Management of Offshore Wind Farms

Cited by 78 publications

References 61 publications

Advanced analytics for detection and diagnosis of false alarms and faults: A real case study

Advanced analytics for detection and diagnosis of false alarms and faults: A real case study

Using the PROSA Method in Offshore Wind Farm Location Problems

Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines

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