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dc.contributor.authorGiovanni, R
dc.contributor.authorPillai, A
dc.contributor.authorThies, P
dc.contributor.authorJohanning, L
dc.date.accessioned2018-06-28T13:34:55Z
dc.date.issued2018-10-22
dc.description.abstractLowering Operation and Maintenance (O&M) expenses is pivotal in order to increase the penetration of offshore renewables in the generation of electricity. The combined use of Monte Carlo simulation and optimization algorithms has been explored to support the assets management and propose improved solutions in an efficient and automated way. However, due to the lack of operational experience and historical data, validation of these models intended in the commonly known sense of comparison against observed data is often not possible. This generates concern about their ability to fully grasp and interpret the complex dynamics of an offshore renewable energy system. This paper presents a method to effectively calibrate, verify and benchmark computational tools for O&M strategies and asset management of an offshore wind farm, as an alternative to validation in lack of real data. A case study is used to test the quality of the results and compare them against those provided by similar tools built for the same purpose. The evaluation functions for an optimization of the O&M strategies are then benchmarked against these outputs in order to ensure that the solutions are consistent within the overall characterization and optimization framework. The requirements for acceptability of the models performance, as well as guidelines for analogous verifications using similar models, are derived. Hence, this work provides a basis to benchmark future models and increase confidence and credibility in computational tools for the O&M planning of offshore renewables.en_GB
dc.identifier.citation37th International Conference on Ocean, Offshore and Arctic Engineering, 2018-06-17, 2018-06-22, Madrid, Issue OMAE2018-77176en_GB
dc.identifier.doi10.1115/OMAE2018-77176
dc.identifier.urihttp://hdl.handle.net/10871/33318
dc.language.isoenen_GB
dc.publisherASME: The American Society of Mechanical Engineersen_GB
dc.rights.embargoreasonUnder indefinite embargo due to publisher policy
dc.rightsCopyright © 2018 by ASME.
dc.subjectOptimization toolen_GB
dc.subjectRenewable Energyen_GB
dc.titleVerification and benchmarking methodology for O&M planning and optimization tools in the offshore renewable energy sectoren_GB
dc.typeConference paperen_GB
exeter.place-of-publicationProceedings of the ASME 2018en_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from ASME via the DOI in this record.


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