Development of an Operations and Maintenance Cost Model to Identify Cost of Energy Savings for Low Wind Speed Turbines: July 2, 2004 -- June 30, 2008

Poore, R.

doi:10.2172/922541

Cited by 36 publications

(27 citation statements)

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“…Special attention has been paid to those activities or resources which play an important role in offshore maintenance: for instance, the energy losses during activity maintenance have been taken under consideration as well as fuel consumptions. All costs have been assumed under a literature review (Krohn et al 2009;Malcolm and Hansen 2006;Myhr et al 2014;Poore and Walford 2008;IRENA 2012;RAB 2010; The Crown Estate 2010). Equation (15.15) shows how the overall cost is based on associated costs:…”

Section: Costmentioning

confidence: 99%

Reliability and Preventive Maintenance

Garcia¹,

Sánchez²,

Barbati³

2016

Mare-Wint

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In this chapter, the authors explain how to perform the core analysis of a Reliability Centered Maintenance (RCM) process for an offshore wind turbine. The aim is to provide an engineering guide which can improve the maintenance of the system, and consequently increases its availability and the production of energy. The initial investigations have been carried out using a database for an onshore 5 MW wind turbine; the data has then been converted using a proper conversion factor, so that it can be used for a 10 MW offshore turbine case. The reliability and availability of the entire offshore wind turbine have been calculated through Reliability Prediction and a Reliability Block Diagram (RBD). In addition, a failure mode analysis is done using FMECA, in order to identify the most important failure modes in a risk priority order, and to the note the effect of propagation of each functional failure. The maintenance part of the RCM analysis has also been studied, to facilitate the creation of an optimum packaging of preventive maintenance tasks, which can help to avoid the functional failures of items throughout the system. Although the main target of the RCM is to reduce the downtime of the wind turbine, a reduction in Life Cycle Costs can be also accomplished through this process.

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Section: Costmentioning

confidence: 99%

Reliability and Preventive Maintenance

Garcia¹,

Sánchez²,

Barbati³

2016

Mare-Wint

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“…However, the cost of a crane rental is a significant contributor to the replacement cost of most major components. One way project operators reduce their costs is by performing multiple repairs that require a crane at the same time [1]. Therefore, DNV has included some economies of scale savings in this analysis.…”

Section: %mentioning

confidence: 99%

“…Larger discounts result as the number of crane events increases, until a minimum per-event crane cost is reached. As outlined in the O&M Model Report, turbines with integrated cranes that are capable of replacing wind turbine generators (e.g., nacelle mounted lifts) are not considered in the current model [1].…”

Section: %mentioning

confidence: 99%

Data Collection for Current U.S. Wind Energy Projects: Component Costs, Financing, Operations, and Maintenance; January 2011 - September 2011

Martin-Tretton¹,

Reha²,

Drunsic³

et al. 2012

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“…Also, Table 1 presents cost ranges for repairing, rebuilding or replacing subassemblies per failure. The costs are obtained from component repair costs provided in an operation and maintenance cost model developed for onshore wind turbines with capacity ranging from 750 kW to 2.4 MW [23]. Prices in the model envelope turbine operations from 2004 to 2008, and do not consider catastrophic events, shipping and warehousing costs, repowering or retrofit works.…”

Section: Example 1: 12-subassembly Wind Turbine Systemmentioning

confidence: 99%

A Closed-Form Technique for the Reliability and Risk Assessment of Wind Turbine Systems

Mensah

Dueñas‐Osorio

2012

Energies

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This paper proposes a closed-form method to evaluate wind turbine system reliability and associated failure consequences. Monte Carlo simulation, a widely used approach for system reliability assessment, usually requires large numbers of computational experiments, while existing analytical methods are limited to simple system event configurations with a focus on average values of reliability metrics. By analyzing a wind turbine system and its components in a combinatorial yet computationally efficient form, the proposed approach provides an entire probability distribution of system failure that contains all possible configurations of component failure and survival events. The approach is also capable of handling unique component attributes such as downtime and repair cost needed for risk estimations, and enables sensitivity analysis for quantifying the criticality of individual components to wind turbine system reliability. Applications of the technique are illustrated by assessing the reliability of a 12-subassembly turbine system. In addition, component downtimes and repair costs of components are embedded in the formulation to compute expected annual wind turbine unavailability and repair cost probabilities, and component importance metrics useful for maintenance planning and research prioritization. Furthermore, this paper introduces a recursive solution to closed-form method and applies this to a 45-component turbine system. The proposed approach proves to be computationally efficient and yields vital reliability information that could be readily used by wind farm stakeholders for decision making and risk management.

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Development of an Operations and Maintenance Cost Model to Identify Cost of Energy Savings for Low Wind Speed Turbines: July 2, 2004 -- June 30, 2008

Cited by 36 publications

References 0 publications

Reliability and Preventive Maintenance

Reliability and Preventive Maintenance

Data Collection for Current U.S. Wind Energy Projects: Component Costs, Financing, Operations, and Maintenance; January 2011 - September 2011

A Closed-Form Technique for the Reliability and Risk Assessment of Wind Turbine Systems

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