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Record W4389541211 · doi:10.17118/11143/20843

Simulation of an open-loop, packed-bed pumped thermal electricity storagesystem

2023· article· en· W4389541211 on OpenAlexaff
Nicholas Annejohn, Hamidreza Ermagan, Reza Lotfalian, Leyla Amiri, Agus P. Sasmito

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicPower Systems and Renewable Energy
Canadian institutionsUniversité de SherbrookeAlberta EnergyMcGill University
Fundersnot available
KeywordsThermal energy storageLoop (graph theory)ElectricityThermalNuclear engineeringEnvironmental scienceAutomotive engineeringWaste managementMaterials scienceProcess engineeringElectrical engineeringEngineeringThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Abstract: A Pumped Thermal Electricity Storage system is described with an open-loop architecture, using packed bed sensible heat energy storage without heat exchangers. Operating strategies are proposed to achieve a reasonable storage utilisation factor while respecting practical limits for off-design operation of the compressors and expanders. A model of the packed bed behaviour has been developed using one-dimensional packed bed simulation techniques. The initial results serve as a preliminary validation of the technical concept, and the model can serve a foundation for parametric optimisation in future work.

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)0.001
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: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.028
GPT teacher head0.282
Teacher spread0.254 · 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
Published2023
Admission routes1
Has abstractyes

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