Coordinating technician allocation and maintenance routing for offshore wind farms

Schrotenboer, Albert H.; Broek, Michiel A. J. uit het; Jargalsaikhan, Bolor; Roodbergen, Kees Jan

doi:10.1016/j.cor.2018.05.019

Cited by 47 publications

(22 citation statements)

References 31 publications

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“…Moreover, the model deals with the situation where vessels are able to stay offshore for several shifts. Schrotenboer et al (2018) investigate the problem proposed by considering sharing of technicians between wind farms. The authors propose an Adaptive Large Neighborhood Search heuristic for solving the problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation-based optimisation for stochastic maintenance routing in an offshore wind farm

Irawan

Eskandarpour

Ouelhadj

et al. 2021

European Journal of Operational Research

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Scheduling maintenance routing for an offshore wind farm is a challenging and complex task. The problem is to find the best routes for the Crew Transfer Vessels to maintain the turbines in order to minimise the total cost. This paper primarily proposes an efficient solution method to solve the deterministic maintenance routing problem in an offshore wind farm. The proposed solution method is based on the Large Neighbourhood Search metaheuristic. The efficiency of the proposed metaheuristic is validated against state of the art algorithms. The results obtained from the computational experiments validate the effectiveness of the proposed method. In addition, as the maintenance activities are affected by uncertain conditions, a simulation-based optimisation algorithm is developed to tackle these uncertainties. This algorithm benefits from the fast computational time and solution quality of the proposed metaheuristic, combined with Monte Carlo simulation. The uncertain factors considered include the travel time for a vessel to visit turbines, the required time to maintain a turbine, and the transfer time for technicians and equipment to a turbine. Moreover, the proposed simulation-based optimisation algorithm is devised to tackle unpredictable broken-down turbines. The performance of this algorithm is evaluated using a case study based on a reference wind farm scenario developed in the EU FP7 LEANWIND project.

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Section: Literature Reviewmentioning

confidence: 99%

Simulation-based optimisation for stochastic maintenance routing in an offshore wind farm

Irawan

Eskandarpour

Ouelhadj

et al. 2021

European Journal of Operational Research

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“…The construction and maintenance of renewable energy infrastructure give rise to transportation planning issues. For example, several researchers have already started to work on maintenance scheduling problems in off‐shore wind farms [152, 153, 161].…”

Section: Infrastructurementioning

confidence: 99%

“Make no little plans”: Impactful research to solve the next generation of transportation problems

2020

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The transportation science research community has contributed to numerous practical and intellectual innovations and improvements over the last decades. Technological advancements have broadened and amplified the potential impacts of our field. At the same time, the world and its communities are facing greater and more serious challenges than ever before. In this paper, we call upon the transportation science research community to work on a research agenda that addresses some of the most important of these challenges. This agenda is guided by the sustainable development goals outlined by the United Nations and organized into three areas: (1) well‐being, (2) infrastructure, and, (3) natural environment. For each area, we identify current and future challenges as well as research directions to address those challenges.

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“…Therefore, they also include a model to calculate the sunrise and sunset times for each day. Schrotenboer et al [55] present a two-stage adaptive large neighborhood search to solve the technician allocation and routing problem. The optimization presented by Stock-Williams and Swamy [41] aims to find the optimal daily maintenance vessel routing and repair schedule.…”

Section: Transportation and Vessel Routingmentioning

confidence: 99%

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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Coordinating technician allocation and maintenance routing for offshore wind farms

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Cited by 47 publications

References 31 publications

Simulation-based optimisation for stochastic maintenance routing in an offshore wind farm

Simulation-based optimisation for stochastic maintenance routing in an offshore wind farm

“Make no little plans”: Impactful research to solve the next generation of transportation problems

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

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