A Comparison of Single- and Multi-parameter Wave Criteria for Accessing Wind Turbines in Strategic Maintenance and Logistics Models for Offshore Wind Farms

Sperstad, Iver Bakken; Halvorsen-Weare, Elin Espeland; Hofmann, Matthias; Nonås, Lars Magne; Stålhane, Magnus; Wu, Mian

doi:10.1016/j.egypro.2014.07.231

Cited by 18 publications

(18 citation statements)

References 4 publications

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“…Perveen et al [18] protection methodologies, the occurrence of cable faults and component failures, the repair strategy, wind speed forecasts and condition monitoring systems Sperstad et al [19] as Hofmann and Sperstad [16] In the following subsections, we comment on the individual influencing factors presented in the literature. First, we investigate the modeling of degradation and failures.…”

Section: Publication Factors Mentionedmentioning

confidence: 99%

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Decision Support Models for Operations and Maintenance for Offshore Wind Farms: A Review

Seyr

Muskulus

2019

Applied Sciences

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This paper reviews the state of the art in offshore wind farm operations and maintenance with a focus on decision support models for the scheduling of maintenance. Factors influential to maintenance planning are collected from the literature and their inclusion in state-of-the-art models is discussed. Methods for modeling and optimization are presented. The methods currently used and possible alternatives are discussed. The existing models are already able to aid the decision-making process. They can be improved by applying more advanced mathematical methods, including uncertainties in the input, regarding more of the influential factors, and by collecting, analyzing, and subsequently using more accurate data.

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Section: Publication Factors Mentionedmentioning

confidence: 99%

“…Three different vessel types can be chosen in the model, with different charter contracts. In Sperstad et al [19] a deterministic optimization of the vessel fleet size and the decision whether to purchase or charter vessels is presented. They also consider different locations for the maintenance base.…”

Section: Vessel Personnel and Spare Part Logisticsmentioning

confidence: 99%

Decision Support Models for Operations and Maintenance for Offshore Wind Farms: A Review

Seyr

Muskulus

2019

Applied Sciences

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“…Transit to and from site, personnel transfer to and from offshore structures, and the use of cranes, for example, are all subject to different limits for safe working (Tavner 2012). Operational models typically consider the impact of wind speed and significant wave height on accessibility; however, multi-wave criteria have been considered in (Sperstad, Halvorsen-Weare, Hofmann, Nonås, Stålhane, and Wu 2014). Maintenance operations may take a number of hours in addition to transit time from port.…”

Section: Introductionmentioning

confidence: 99%

Forecasting for day-ahead offshore maintenance scheduling under uncertainty

Browell¹,

Dinwoodie²,

McMillan³

2016

Risk, Reliability and Safety: Innovating Theory and Practice

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Offshore wind farm maintenance operations are complex and dangerous, and as such are subject to strict safety constraints. In addition, crew and vessels must be scheduled in advance for both planned and reactive maintenance operations. Meteorological forecasts on many time-scales are used to inform scheduling decisions, but are imperfect. Short-term maintenance scheduling is therefore a problem of decision-making under uncertainty. This paper proposes a probabilistic approach to the short-term scheduling problem based on a cost-loss model for individual maintenance missions, and probabilistic forecasts of appropriate access windows. This approach is found to increase the utilisation of possible access windows compared to using deterministic decision rules. The impact of forecasting on the availability and operational costs of offshore wind is then examined using a Monte Carlo-based cost model.This has quantified the impact on availability and revenue performance under a range of site conditions.

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“…Precedence of tasks is also handled by Constraints (33)-(35) as these constraints ensure that the start time of a task, m, that is performed immediately before another task, n, is lower than the start time of task n. For all tasks performed by a CTV, excluding the depot tasks, exactly one task must be performed directly before and directly after every task. Constraint (36) ensures that if task m is performed, exactly one task is performed directly after task m, and if task m is not performed zero tasks are performed directly after task m. Constraint (37) is equivalent for tasks performed directly before task m.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Various sources and expert opinions have been consulted to obtain realistic parameters for the instances, mainly based on a reference case created for verification of O&M simulation models for offshore wind farms by Dinwoodie et al [35]. Additional sources have been used for data on the wave height limits of the different vessels [36,37], transportation costs [23] and daily cost rates [38], maintenance task categories and failure rates [39], and weather conditions [40]. Details on the data used to create the test instances are provided in the supplemental material.…”

Section: Computational Studymentioning

confidence: 99%

Scheduling of Maintenance Tasks and Routing of a Joint Vessel Fleet for Multiple Offshore Wind Farms

Raknes

Ødeskaug

Stålhane

et al. 2017

JMSE

Self Cite

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Abstract:Maintenance costs related to offshore wind farms are severely limiting their potential for being profitable. This paper proposes a new mathematical model that considers how maintenance tasks should be scheduled and performed by technicians transported using a fleet of dedicated vessels. The model is novel in its combination of modelling several work shifts and including vessels that can stay offshore for several shifts, while handling large maintenance tasks and accurate calculation of downtime costs. Simulation is used to evaluate the performance of the model in its pure form, as well as when solved heuristically using a rolling horizon heuristic. The results indicate that the end-of-horizon effects of the mathematical formulation are handled effectively. Computational experiments also illustrate how the mathematical model coupled with simulation can be used to evaluate strategic decisions regarding the composition of a vessel fleet used to execute maintenance tasks.

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A Comparison of Single- and Multi-parameter Wave Criteria for Accessing Wind Turbines in Strategic Maintenance and Logistics Models for Offshore Wind Farms

Cited by 18 publications

References 4 publications

Decision Support Models for Operations and Maintenance for Offshore Wind Farms: A Review

Decision Support Models for Operations and Maintenance for Offshore Wind Farms: A Review

Forecasting for day-ahead offshore maintenance scheduling under uncertainty

Scheduling of Maintenance Tasks and Routing of a Joint Vessel Fleet for Multiple Offshore Wind Farms

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