Development of a Combined Operational and Strategic Decision Support Model for Offshore Wind

Dinwoodie, Iain; McMillan, David; Revie, Matthew; Lazakis, Iraklis; Dalgic, Yalcin

doi:10.1016/j.egypro.2013.07.169

Cited by 70 publications

(54 citation statements)

References 9 publications

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“…The initial model development focussed on the use of specialist heavy-lift vessels for offshore wind and to inform decision support for operational strategies [15]. It has subsequently been developed to capture the full range of operations associated with offshore wind maintenance.…”

Section: Strathclyde University Centre For Doctoral Training Offshormentioning

confidence: 99%

Reference Cases for Verification of Operation and Maintenance Simulation Models for Offshore Wind Farms

et al. 2015

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Due to lack of operating experience in the field of offshore wind energy and large costs associated with maintaining offshore wind farms, there is a need to develop accurate operation and maintenance models for strategic planning purposes. This paper provides an approach for verifying such simulation models and demonstrates it by describing the verification process for four models. A reference offshore wind farm is defined and simulated using these models to provide test cases and benchmark results for verification for wind farm availability and O&M costs. This paper also identifies key modelling assumptions that impact the results. The calculated availabilities for the four models show good agreement apart from cases where maintenance resources are heavily constrained. There are also larger discrepancies between the cost results. All the differences in the results can be explained by different modelling assumptions. Therefore, the models can be regarded as verified based on the presented approach. INTRODUCTION MotivationOffshore wind energy is a new area for operation and maintenance (O&M) research, and the operational legacy of the industry is only just over a decade. Operation and maintenance cost modelling software tools are being developed to support activities in this field. Because of the novelty of offshore wind energy generation and lack of real data, there are limited options for validation and verification of these models. Verification and validation of a simulation model is essential if the model is to say something useful about the system it is meant to represent. We define verification as ensuring that the simulation model is implemented according to the specifications of the conceptual model of the system; validation is defined as ensuring that this conceptual model is in fact a faithful representation of the real system for the purposes of the model [1]. It may prove difficult for researchers to acquire suitable data to perform model validation. For full operational validation [1], necessary historical data would include repair and logistical costs, statistical information on component reliability and performance indicators such as total operations costs or availability. This type of information is possessed by the farm owner/operator, turbine manufacturer or non-existent for new generation wind turbines. BackgroundSeveral O&M simulation models for offshore wind farms have been developed, of which Hofmann [2] provides a thorough overview. Often, the intended applications of the models differ slightly. For example, one model will focus on assessing heavy-lift vessels, whereas another will be used for maintenance strategy optimisation. [3]. One position is that models are never entirely validated because it is not practicable to assess correspondence between the system and the model for its entire domain of applicability [1]. Even if the system is observable and a comparison of model output and system output is possible, one is often interested in predicting system behaviour under circumst...

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Section: Strathclyde University Centre For Doctoral Training Offshormentioning

confidence: 99%

Reference Cases for Verification of Operation and Maintenance Simulation Models for Offshore Wind Farms

et al. 2015

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“…Van Bussel & Zaaijer (2001) showed that irrespective of wind turbine design, the cost of lifting operations by using an external crane accounted for more than 50% of the overall O&M costs. Complementary studies have been performed by Lazakis et al (2012Lazakis et al ( , 2013 by while Dinwoodie et al (2013) evidenced that the vessel costs contribute the largest percentage of costs which is the key component of overall costs to control.…”

Section: Cost Of Maintenance Operationsmentioning

confidence: 99%

Vessel charter rate estimation for offshore wind O&M activities

Dalgic¹,

Lazakis²,

Turan³

2013

Developments in Maritime Transportation and Exploitation of Sea Resources

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“…In the recent years, a number of tools have been developed in an attempt to reduce the O&M cost of offshore wind. Examples of such tools include OMCE developed by Braam et al (2011), which estimates annual O&M costs and a tool developed by Dinwoodie et al (2013), which allows to simulate various operating scenarios, both focused on assessing the benefits of different maintenance solutions.…”

Section: Offshore Windmentioning

confidence: 99%

Time series semi-Markov decision process with variable costs for maintenance planning

Dawid¹,

McMillan²,

Revie³

2016

Risk, Reliability and Safety: Innovating Theory and Practice

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Development of a Combined Operational and Strategic Decision Support Model for Offshore Wind

Cited by 70 publications

References 9 publications

Reference Cases for Verification of Operation and Maintenance Simulation Models for Offshore Wind Farms

Reference Cases for Verification of Operation and Maintenance Simulation Models for Offshore Wind Farms

Vessel charter rate estimation for offshore wind O&M activities

Time series semi-Markov decision process with variable costs for maintenance planning

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