MétaCan
Menu
Back to cohort
Record W3164326340 · doi:10.11159/ehst21.107

Analysis of a Trombe Wall Prototype with Thermal Energy Storage andAir Vent Management

2021· article· en· W3164326340 on OpenAlex

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

VenueProceedings of the International Conference of Energy Harvesting, Storage, and Transfer · 2021
Typearticle
Languageen
FieldEngineering
TopicSolar Energy Systems and Technologies
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsThermal energy storageThermal management of electronic devices and systemsThermalEnergy storageEnvironmental scienceMarine engineeringAerospace engineeringMaterials scienceEngineeringMechanical engineeringMeteorologyPhysics

Abstract

fetched live from OpenAlex

Thermal energy storage (TES) mediums can be integrated into Trombe walls to improve the utilization of solar energy to offset building energy loads. The vents at the top and bottom of a Trombe wall can be used to manage the flow of heated air through a Trombe wall to store and deliver thermal energy to match the demand profile in buildings. Herein we investigate the thermal energy stored in fire-clay bricks as a sensible storage medium integrated into a scaled Trombe wall prototype. After 3.8 hours under a solarsimulated light source at an intensity of ~325 W/m 2 , ~33 MJ/kg is stored in the fireclay bricks when the vents are open. In comparison, ~37 MJ/kg is stored in the fireclay bricks under similar experimental conditions when the vents are closed. During the discharging phase, which begins when the light source is turned off, it takes ~3.5 hours for the amount of thermal energy stored in the fireclay bricks to decrease by 50% when the vents in the Trombe wall prototype are open. On the other hand, it takes ~4.4 hours for the amount of thermal energy stored in the fireclay bricks to decrease by 50% when the vents are closed. Improved management of solar thermal energy in Trombe walls can reduce the carbon footprint of residential and commercial buildings.

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 categoriesnone
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 score0.745
Threshold uncertainty score0.507

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 communication0.0000.000
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 head0.014
GPT teacher head0.197
Teacher spread0.183 · 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