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Record W4211004754 · doi:10.1002/9781119181002.ch4

Underground Thermal Energy Storage

2016· other· en· W4211004754 on OpenAlex
Marc A. Rosen, Seama Koohi‐Fayegh

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

VenueGeothermal Energy · 2016
Typeother
Languageen
FieldEngineering
TopicPhase Change Materials Research
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsThermal energy storageBoreholeEnvironmental scienceEnergy storageSensible heatThermal energyThermalGeothermal gradientEnergy recoveryGeothermal energyPetroleum engineeringEnergy (signal processing)GeologyMeteorologyGeotechnical engineeringGeophysicsAtmospheric sciencesThermodynamics

Abstract

fetched live from OpenAlex

Details are presented on thermal energy storage (TES) concepts, theory, and applications. Details on thermal storage types, operation, and applications are provided, for both heat and cold storage. The main thermal storage types, sensible, latent, and thermochemical, are covered. A focus is placed on underground thermal energy storages, which normally are sensible storages, as they can store both hot and cold energy in the ground and thus are often integral to geothermal energy systems. Common types of underground TES are described: soil and earth bed; borehole; aquifer; rock cavern; container/tank; and solar pond. Finally, the integration of TES with heat pumps is examined, as such systems can be particularly beneficial for heating and cooling 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0510.001

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 head0.016
GPT teacher head0.238
Teacher spread0.222 · 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