Vessel charter rate estimation for offshore wind O&amp;M activities

Dalgic, Yalcin; Lazakis, Iraklis; Turan, Osman

doi:10.1201/b15813-113

Cited by 25 publications

(18 citation statements)

References 8 publications

(7 reference statements)

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“…Reference provided the mean wind speeds, wave height and wave period data for FINO as described in Section 3.2. The vessel operating parameters and costs were based on . For the purpose of this analysis and as seen in Table , heavy lift vessels (HLVs) were used for major replacements in the generators and gearboxes of the different drive train configurations, and crew transfer vessels (CTVs) were used for all minor and major repairs.…”

Section: Overview Of Oandm Model and Its Inputsmentioning

confidence: 99%

Availability, operation and maintenance costs of offshore wind turbines with different drive train configurations

et al. 2016

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Different configurations of gearbox, generator and power converter exist for offshore wind turbines. This paper investigated the performance of four prominent drive train configurations over a range of sites distinguished by their distance to shore. Failure rate data from onshore and offshore wind turbine populations was used where available or systematically estimated where no data was available. This was inputted along with repair resource requirements to an offshore accessibility and operation and maintenance model to calculate availability and operation and maintenance costs for a baseline wind farm consisting of 100 turbines. The results predicted that turbines with a permanent magnet generator and a fully rated power converter will have a higher availability and lower operation and maintenance costs than turbines with doubly fed induction generators. This held true for all sites in this analysis. It was also predicted that in turbines with a permanent magnet generator, the direct drive configuration has the highest availability and lowest operation and maintenance costs followed by the turbines with two-stage and three-stage gearboxes.

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Section: Overview Of Oandm Model and Its Inputsmentioning

confidence: 99%

Availability, operation and maintenance costs of offshore wind turbines with different drive train configurations

et al. 2016

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“…However, the number of leg stabilised vessels is considerably low in the market (EWEA, 2011). Heavy lifters are capable of lifting extensive loads, which can be experienced in offshore wind industry; on the other hand the charter rates of heavy lifting vessels are excessively high (Dalgic et al, 2014;DNV, 2011). Therefore, jack-up vessels are the most utilised vessels for major maintenance operations in offshore wind energy market (Dalgic et al, 2015d).…”

Section: Transportation Systemsmentioning

confidence: 99%

“…In the maritime industry, voyage charter, time charter and bareboat charter are the commonly used types of contractual arrangements (Stopford, 2009;Watson, 1998). The jack-up vessel chartering strategy is adopted from Dalgic et al (2014).…”

Section: Vessel Specifications and Fleet Configurationmentioning

confidence: 99%

Advanced logistics planning for offshore wind farm operation and maintenance activities

et al. 2015

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Offshore wind turbine technology is moving forward as a cleaner alternative to the fossil fuelled power production. However, there are a number of challenges in offshore; wind turbines are subject to different loads that are not often experienced onshore and more importantly challenging wind and wave conditions limit the operability of the vessels needed to access offshore wind farms. As the power generation capacity improves constantly, advanced planning of Operation and Maintenance (O&M)activities, which supports the developers in achieving reduced downtime, optimised availability and maximised revenue, has gained vital importance. In this context, the focus of this research is the investigation of the most cost-effective approach to allocate O&M resources which may include helicopter, crew transfer vessels, offshore access vessels, and jack-up vessels. This target is achieved through the implementation of a time domain Monte-Carlo simulation approach which includes analysis of environmental conditions (wind speed, wave height, and wave period), operational analysis of transportation systems, investigation of failures (type and frequency), and simulation of repairs. The developed methodology highlights how the O&M fleets can be operated in a cost-effective manner in order to support associated day-to-day O&M activities and sustain continuous power production

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“…This research concludes that Preventive Maintenance (PM), both CBM and age dependent with imperfect repair maintenance, decreases wind turbine failures rates and reduces almost all mean costs compared to corrective maintenance (CM). The logistics related to the WFs is a very specialized and extensive field, to deepen on this topic it is suggested to consult the references [102][103][104].…”

Section: Models Applied To the Logistics Of Operation And Maintenancementioning

confidence: 99%

Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

et al. 2019

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Wind power generation has been the fastest-growing energy alternative in recent years, however, it still has to compete with cheaper fossil energy sources. This is one of the motivations to constantly improve the efficiency of wind turbines and develop new Operation and Maintenance (O&M) methodologies. The decisions regarding O&M are based on different types of models, which cover a wide range of scenarios and variables and share the same goal, which is to minimize the Cost of Energy (COE) and maximize the profitability of a wind farm (WF). In this context, this review aims to identify and classify, from a comprehensive perspective, the different types of models used at the strategic, tactical, and operational decision levels of wind turbine maintenance, emphasizing mathematical models (MatMs). The investigation allows the conclusion that even though the evolution of the models and methodologies is ongoing, decision making in all the areas of the wind industry is currently based on artificial intelligence and machine learning models.

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Vessel charter rate estimation for offshore wind O&M activities

Cited by 25 publications

References 8 publications

Availability, operation and maintenance costs of offshore wind turbines with different drive train configurations

Availability, operation and maintenance costs of offshore wind turbines with different drive train configurations

Advanced logistics planning for offshore wind farm operation and maintenance activities

Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

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