Objective
The power output from wind turbines has increased dramatically over the past thirty years from 50 kW to 6 MW, while 8-12 MW turbines are in the stage of design. State-of-the-art condition monitoring systems, such as vibration-based systems and temperature sensors, are able to monitor and evaluate the current condition of components of interest. Nonetheless, varying wind loads can result in the generation of false alarms or even misinterpretation of the data collected. In addition, commercially available condition monitoring systems offer no or very limited prognostics capability with regards to the remaining lifetime of a component before a serious fault occurs. Therefore evolution to predictive maintenance strategies is currently impossible. Experience has shown that by combining disparate data sources wind farm operators will be able to move from common reactive maintenance approach to a more cost effective risk-based operation and maintenance strategy with a high level of predictive maintenance scheduling. OPTIMUS will develop and demonstrate in the field novel methods and tools for prognosis of the remaining lifetime of key components based on data acquired by a cost-effective wind turbine condition monitoring system implemented by custom-designed dependable computing systems. This technology will reduce the total cost of energy and advance the deployment of large scale offshore and onshore wind energy by increasing availability and reducing downtime due to unplanned maintenance. Predictive maintenance will also reduce costs incurred from secondary damage to components and enable maintenance activities (and the associated costs) to be optimized with respect to forecast revenue from power generation. The results of this project will lead to a significant step-change over the current capability of commercial condition monitoring systems.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology environmental engineering energy and fuels renewable energy wind energy
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ENERGY-2012-2
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
NE24 1LZ Blyth Northumberland
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.