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Record W3142958256 · doi:10.23919/oceans.2011.6107271

Qualification of AGM lead-acid batteries for long-term subsea deployment

2011· article· en· W3142958256 on OpenAlexaff
S. W. Pridie, A. Huster

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsOceanWorks International (Canada)
Fundersnot available
KeywordsSubseaLead–acid batterySoftware deploymentBattery (electricity)Energy storagePower (physics)Scope (computer science)Computer scienceElectrical engineeringAutomotive engineeringMarine engineeringEngineering

Abstract

fetched live from OpenAlex

Deployed cabled observatories are providing continuous power to a variety of new subsea and surface instruments. Higher power instruments, like vertical profilers and small ROVs have become possible, but challenge the power feed systems with their large peak power demands. Load management solutions need to be developed to extract the most utility out of the available power. One option for load leveling is the use of subsea battery banks. This also provides uninterruptable power supply (UPS) functionality. Absorbed Glass Mat (AGM) lead-acid batteries are routinely used subsea in low-power, pure discharge applications. Longterm stationary subsea power delivery requires adapting current lead-acid technology from discharge-only, to charge-and-discharge at depth operation. The increase in scale and scope for lead-acid technology requires an understanding of the effects of pressure and oil compensation on the batteries and how to best configure the batteries to ensure long and reliable service in the subsea environment.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.361

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 head0.044
GPT teacher head0.235
Teacher spread0.191 · 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 designBench or experimental
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
Published2011
Admission routes1
Has abstractyes

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