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Record W2042946267 · doi:10.3384/ecp110573757

Design of a Latent Heat Energy Storage System Coupled with a Domestic Hot Water Solar Thermal System

2011· article· en· W2042946267 on OpenAlex
Robynne E. Murray, Louis Desgrosseilliers, J.E. Stewart, Nick Osbourne, Gina Marin, Alex Safatli, Dominic Groulx, Mary Anne White

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLinköping electronic conference proceedings · 2011
Typearticle
Languageen
FieldEngineering
TopicPhase Change Materials Research
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaDalhousie University
KeywordsMeasure (data warehouse)Artificial neural networkLatent heatWork (physics)Thermal energy storageThermalWind powerSolar energyComputer scienceWind speedMeteorologyEnvironmental scienceEngineeringArtificial intelligenceData miningThermodynamicsMechanical engineeringElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

Solar domestic hot water (SDHW) can be used to reduce energy bills and greenhouse gas emissions associated with heating domestic water. However, one of the most significant barriers to further deployment of solar thermal applications is the space and weight required for storage of the energy collected. Phase change materials (PCMs) are advantageous for daily energy storage with SDHW due to their high storage density and isothermal operation during phase transitions, and would overcome these obstacles.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.033
GPT teacher head0.214
Teacher spread0.181 · 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