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Record W1976085038 · doi:10.4043/20811-ms

SS: Offshore Wind Energy Special Session: On Hurricane Risk to Offshore Wind Turbines in US Waters

2010· article· en· W1976085038 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOffshore Technology Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicWave and Wind Energy Systems
Canadian institutionsPetroleum Research Newfoundland and Labrador
FundersNational Renewable Energy LaboratoryU.S. Department of Energy
KeywordsOffshore wind powerMarine engineeringTurbineWind powerSubmarine pipelineEnvironmental scienceRenewable energyEngineeringMechanical engineeringGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract With the increased focus in the US on green technology, there are several offshore wind farms being planned in the US waters to meet the goal of utilizing renewable energy sources for consumers. The offshore wind industry can benefit substantially by leveraging the design and analysis experience from oil and gas platforms in the United States and from offshore wind turbines in European waters. However, no offshore wind turbines have ever been installed in U.S. waters where several unique challenges must be addressed, particularly with respect to how tropical storms may alter the design basis. This paper presents the engineering challenges that need to be addressed in analyzing offshore wind turbines to include the metocean loads imposed where both the aerodynamic and hydrodynamic loads may be equally significant with particular attention to U.S. characteristics. Analysis techniques available for offshore oil and platforms can be utilized for assessment of offshore wind turbine structures. Specifically, the engineering insights on ultimate strength analysis and the implicit safety levels as warranted in design codes can be used to inform the design process for offshore wind turbines, giving due regard to the hurricane risk present in U.S. waters that changes with geography. Introduction and Background This paper presents key results on safety level assessments for offshore wind turbines from recently completed studies, References (1) and (2), that compared two design guidelines for applicability to U.S. waters. The methodology and examples presented can be used to better analyze and design, for adequate structural safety, offshore wind turbine structures to be considered for deployment in US waters. The objective of this paper is to present the range of metocean loads present at a U.S. offshore site, and the nonlinear dynamic response of a monopile- foundation offshore wind turbine, when subject to operational and extreme loads. Insights into shallow water depth effects, soil-pile interaction modeling, modeling of aerodynamic wind loads along with concurrent hydrodynamic wave and current loads, and the analyzed physical behavior of the structure will be presented. This paper presents the following sequence of studies to develop the reliability assessment for offshore wind turbines in the United States:Direct comparison of safety factors in the two design guidelines (American Petroleum Institute (API) vs. International Electrotechnical Committee (IEC); more on this follows) studied,Comparison of reliability levels achieved for a generic offshore wind turbine structure for the two guidelines, for four sites/regions, andComparison of reliability levels for two types of offshore wind turbine substructures at a specific site designed based on both API and IEC guidelines API vs. IEC - A comparison of safety levels for US Waters The two design guidelines being studied here are:The American Petroleum Institute guidelines for fixed offshore platforms based on working stress design (WSD) methodology; see Reference (3).International Electrotechnical Committee guidelines for offshore wind turbines (OWTs) based on load and resistance factor (LRFD) methods primarily developed for use in European conditions, see Reference (4).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.206
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it