Modelling and simulation of operation and maintenance strategy for offshore wind farms based on multi-agent system

Sahnoun, M’hammed; Baudry, David; Mustafee, Navonil; Louis, Anne; Smart, Philip; Godsiff, Phil; Mazari, Belahcene

doi:10.1007/s10845-015-1171-0

Cited by 37 publications

(39 citation statements)

References 41 publications

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“…[5][6][7][8] OWT O&M modelling and simulation are complex, as they involve several factors such as component reliability, turbine system characteristics, wind speed data, maintenance strategy and costs. 9,10 Wind turbine component reliability is a critical input to the operational simulation of OWTs. Existing operational simulation models often assume a fixed failure rate or failure probability for the wind turbine.…”

mentioning

confidence: 99%

Offshore wind turbine reliability and operational simulation under uncertainties

2020

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The fast‐growing offshore wind energy sector brings opportunities to provide a sustainable energy resource but also challenges in offshore wind turbine (OWT) operation and maintenance management. Existing operational simulation models assume deterministic input reliability and failure cost data, whereas OWT reliability and failure costs vary depending on several factors, and it is often not possible to specify them with certainty. This paper focuses on modelling reliability and failure cost uncertainties and their impacts on OWT operational and economic performance. First, we present a probabilistic method for modelling reliability data uncertainty with a quantitative parameter estimation from available reliability data resources. Then, failure cost uncertainty is modelled using fuzzy logic that relates a component's failure cost to its capital cost and downtime. A time‐sequential Monte Carlo simulation is presented to simulate operational sequences of OWT components. This operation profile is later fed into a fuzzy cost assessment and coupled with a wind power curve model to evaluate OWT availability, energy production, operational expenditures and levelised cost of energy. A case study with different sets of reliability data is presented, and the results show that impacts of uncertainty on OWT performance are magnified in databases with low components' reliability. In addition, both reliability and cost uncertainties can contribute to more than 10% of the cost of energy variation. This research can provide practitioners with methods to handle data uncertainties in reliability and operational simulation of OWTs and help them to quantify the variability and dependence of wind power performance on data uncertainties.

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confidence: 99%

Offshore wind turbine reliability and operational simulation under uncertainties

2020

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“…Despite the fact that systematic maintenance strategy presents a wide variety of maintenance actions, it is identified as the most costly strategy [31]. Nonetheless, it would suit the climate of Mauritius since as observed in the results section, the summer season experiences lower average significant wave height, reflecting a lower wave energy flux.…”

Section: Maintenance Operations On Wave Energy Farmmentioning

confidence: 94%

Assessment of the wave potential at selected hydrology and coastal environments around a tropical island, case study: Mauritius

Doorga

Chinta

Gooroochurn

et al. 2018

Int J Energy Environ Eng

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Waves are the dominant influence on coastal morphology and ecosystem structure of tropical islands. The geographical positioning of Mauritius near to the Tropic of Capricorn ensures that the eastern regions benefit from the persistent southeast trade winds which influence the incoming surface waves. In this study, we present the high dependence of the wave regimes of windward offshore site on the trade winds. The higher occurrence of incoming waves in the winter season directed in the southeast direction indicates that the trade winds are more prevalent in the winter season. Storms within the extratropical South Atlantic, Indian and Pacific oceans generally propagate towards the east such that extratropical South Atlantic swell energy spreads through the entire Indian Ocean. Since waves are very directional and tend to get shadowed by land masses, Mauritius situated in the line of sight from those sources end up in the shadow region due to the geographical location of Reunion island. In this study, we support the explanation on how the western region of the island gets influenced by episodic swell events. A detailed wave energy resource assessment is provided for different targeted coastal environments around the island. It is revealed that the mean wave power observed in the summer season at one of the sites can attain 28.8 kW/m and is found to be lower as compared to the winter season (31.7 kW/m).

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“…This method gives the possibility to follow the events of the simulation and to make it close to reality. As in Dahane et al (2017) and Sahnoun et al (2015), the authors used MAS to predict the health of wind-turbines and to optimize the maintenance of an offshore wind farm. They tested several scenarios in order to obtain the best maintenance strategy.…”

Section: Related Workmentioning

confidence: 99%

Simulation and optimization of robotic tasks for UV treatment of diseases in horticulture

Mazar¹,

Sahnoun²,

Bettayeb³

et al. 2020

Oper Res Int J

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Robotization is increasingly used in the agriculture since the last few decades. It is progressively replacing the human workforce that is deserting the agricultural sector, partly because of the harshness of its activities and health risks they may present. Moreover, robotization aims to improve efficiency and competitiveness of the agricultural sector. However, it leads to several research and development challenges regarding robots supervision, control and optimization. This paper presents a simulation and optimization approach for the optimization of robotized treatment tasks using type-c ultraviolet radiation in horticulture. The optimization of tasks scheduling problem is formalized and a heuristic and a genetic algorithms are proposed to solve it. These algorithms are evaluated compared to an exact method using a multiagent-based simulation approach. The simulator takes into account the evolution of the disease during time and simulates the execution of treatment tasks by the robot.

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Modelling and simulation of operation and maintenance strategy for offshore wind farms based on multi-agent system

Cited by 37 publications

References 41 publications

Offshore wind turbine reliability and operational simulation under uncertainties

Offshore wind turbine reliability and operational simulation under uncertainties

Assessment of the wave potential at selected hydrology and coastal environments around a tropical island, case study: Mauritius

Simulation and optimization of robotic tasks for UV treatment of diseases in horticulture

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