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Record W1963767778 · doi:10.1504/ijex.2014.066610

Exergy analysis of a multi-tank thermal storage system for solar heating applications

2014· article· en· W1963767778 on OpenAlex
Ryan Dickinson, Cynthia A. Cruickshank

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

VenueInternational Journal of Exergy · 2014
Typearticle
Languageen
FieldEnergy
TopicSolar Thermal and Photovoltaic Systems
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTRNSYSExergyEnvironmental scienceNuclear engineeringVolume (thermodynamics)Work (physics)MechanicsExergy efficiencyCharge (physics)Materials scienceConstant (computer programming)ThermodynamicsThermalComputer sciencePhysicsEngineering

Abstract

fetched live from OpenAlex

This paper presents the results of an experimental study on the stored exergy of a stratified multi-tank system when subjected to various charge and discharge strategies. Tests were performed over 8-h and 48-h test periods, for constant temperature charging, variable input power charging, constant volume hourly draws and variable volume hourly draws. For each set of test parameters, three different charge and discharge configurations were evaluated. Results showed that for constant charge and discharge conditions, the parallel charge and parallel discharge configuration achieved the highest stored exergy value at the end of the test period. Under variable charge and discharge conditions, the series charge and series discharge configuration resulted in higher stored exergy values. This work was supported by computer modelling conducted in the TRNSYS simulation 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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.526
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
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 head0.018
GPT teacher head0.274
Teacher spread0.256 · 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