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Record W4241105472 · doi:10.4043/otc-20170-ms

OTEC Commercialization Challenges

2009· article· en· W4241105472 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

VenueProceedings of Offshore Technology Conference · 2009
Typearticle
Languageen
FieldEnergy
TopicRenewable energy and sustainable power systems
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsCommercializationOcean thermal energy conversionRenewable energyElectricityWork (physics)Base load power plantEnvironmental economicsPower stationCost of electricity by sourceEngineeringElectricity generationTelecommunicationsBusinessManufacturing engineeringEnvironmental sciencePower (physics)Electrical engineeringDistributed generationMechanical engineeringEconomicsSolar energyMarketing

Abstract

fetched live from OpenAlex

An industry and university team is developing ocean thermal energy power plant designs to provide baseload, renewable electricity to commercial power grids and to Department of Defense base grids. This paper provides some general thoughts on OTEC commercialization challenges. A brief description of OTEC and a view of the market are provided. Based on two years of design efforts and market assessments, challenges in technology, economics, and risk are discussed. No technology barriers are evident at this time. OTEC can be affordable though much work remains to be done. Because OTEC has not been commercialized nor has been demonstrated by anything approaching megawatt scales, a megawatt scale pilot plant is necessary to validate performance and cost for subsequent availability of financing for commercial applications.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.576
Threshold uncertainty score0.872

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.022
GPT teacher head0.243
Teacher spread0.220 · 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