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Record W4365803758 · doi:10.1615/see2000.1350

DEVELOPMENT AND EXPERIMENTAL TESTING OF AN ENTHALPY RECOVERY WHEEL BASED ON A NEW COMPOSITE DESICCANT

2023· article· en· W4365803758 on OpenAlexaboutno aff
Mouloud Amazouz, Sophie Hosatte, R. Côté

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdsorption and Cooling Systems
Canadian institutionsnot available
Fundersnot available
KeywordsDesiccantHumidityEnthalpyHeat exchangerEnvironmental scienceAirflowHeat recovery ventilationIndoor air qualityVentilation (architecture)Relative humidityEnergy recovery ventilationProcess engineeringAir conditioningFrost (temperature)Waste managementMechanical engineeringEnvironmental engineeringMaterials scienceEngineeringThermodynamicsComposite material

Abstract

fetched live from OpenAlex

Improved insulation regulations for Canadian houses have made mandatory the use of forced air ventilation systems to maintain indoor air quality. Long term ventilation may nevertheless create uncomfortable indoor air conditions and increase the energy bill when in winter, outside air introduced in the house is cold and dry and in the summer, when it is warm and humid.<br><br> The use of a passive heat and humidity exchanger, or enthalpy exchanger, makes it possible to alleviate these problems by a better control of the humidity and temperature levels of the air introduced in the house. The systems are driven by only the temperature and humidity level difference between the fresh airflow entering the house and the exhausted contaminated airflow. Active (gas regenerated) desiccant cooling systems are often used for these passive recovery applications but they are generally costly and overdimensioned.<br><br> A new passive and low cost enthalpy exchanger has been developed specifically for these applications and tested successfully. The product is based on the development of a new desiccant material and a new process for direct fabrication into an enthalpy wheel. This enthalpy exchanger presents the same performance as commercially available units, with interesting properties such as frost resistance, an important feature in cold climates.<br><br> The paper presents the characteristics of this novel product including its predicted and measured efficiencies.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.305

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 head0.036
GPT teacher head0.241
Teacher spread0.205 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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