MétaCan
Menu
Back to cohort
Record W3034555392 · doi:10.18462/iir.pcm.2018.0019

Concept and performance of a solar assisted heat pump using ice slurry as a phase change storage medium.

2018· article· en· W3034555392 on OpenAlexaboutno aff
Michel Poirier, Justin Tamasauskas, D Guiguere

Bibliographic record

VenueInstitut International du Froid · 2018
Typearticle
Languageen
FieldEngineering
TopicPhase Change Materials Research
Canadian institutionsnot available
Fundersnot available
KeywordsSlurryPhase-change materialPhase changeThermal energy storageProcess engineeringPhase (matter)Environmental scienceMaterials scienceMeteorologyThermodynamicsChemistryEngineeringEnvironmental engineeringPhysics

Abstract

fetched live from OpenAlex

In Canada, there is often enough solar energy to meet building heating demand in the winter months. However, solar availability and heating loads generally do not coincide, requiring innovative ways to store and later retrieve captured solar energy. A new concept utilizing a glycol-water-ice tank (fluid temperature < 0°C) to store the energy collected from solar thermal collectors, and an ice slurry heat pump to extract the energy from the tank for building heating was developed and tested. Advantages of this concept include higher energy storage densities, and improved collector efficiencies. The recovered solar energy was measured during a heating season in Montreal, Canada, showing that about 60% of the available solar energy is recovered in the coldest winter months. The instantaneous coefficient of performance (COP) of 2.98 was measured for a space heating strategy. This concept has the potential to significantly decrease greenhouse gas emissions from the building sector.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.067
GPT teacher head0.327
Teacher spread0.260 · 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 designBench or experimental
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

Citations1
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInstitut International du FroidSame topicPhase Change Materials ResearchFrench-language works237,207