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Record W2387235252

THE HIGH RESOLUTION NUMERICAL SIMULATION OF WIND ENERGY RESOURCES IN HAINAN PROVINCE AND OVER ITS OFFSHORE WATERS

2009· article· en· W2387235252 on OpenAlexaffabout
Wei Yu

Bibliographic record

VenueJournal of Tropical Meteorology · 2009
Typearticle
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsOffshore wind powerWind speedEnvironmental scienceSubmarine pipelineMeteorologyWind powerWest coastHigh resolutionMarine engineeringGeologyOceanographyGeographyRemote sensingEngineering
DOInot available

Abstract

fetched live from OpenAlex

With high resolution(1 km),the distribution of wind energy resources in Hainan Province and over its offshore waters is numerically simulated by using the Wind Energy Simulation Toolkit(WEST) model developed by the Meteorological Research Branch of Environment Canada.Compared with the observations from eight coastal wind towers and 18 existing stations in the province,the simulations show good reproduction of the real distribution of wind resources in Hainan and over its offshore waters,with the relative error of annual mean wind speed being no more than 9% at the 70-m level.Moreover,based on the simulated results of WEST grids that are closest to where the eight wind towers are located,the annual mean wind speeds are further estimated by using the Danish software WAsP(Wind Atlas Analysis and Application Program).The estimated results are then compared with the observations from the towers.It shows that the relative error is also less than 9%.Therefore,WEST and WEST+WAsP will be useful tools for the assessment of wind energy resources in high resolution and selection of wind farm sites in Hainan Province and over its offshore waters.

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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score0.191

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.226
Teacher spread0.218 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes2
Has abstractyes

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