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Record W3014881491 · doi:10.1139/tcsme-2019-0227

Experimental investigation of a ground-coupled heat exchanger combined with an air conditioner for southern India

2020· article· en· W3014881491 on OpenAlexvenueno aff
Arunkumar Damodharan, M. Ramu, S. Syath Abuthakeer

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2020
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCondenser (optics)Air conditioningHeat exchangerActive coolingVapor-compression refrigerationHeat pumpNuclear engineeringAir source heat pumpsCooling loadMaterials scienceCoefficient of performanceHybrid heatEnvironmental scienceMechanical engineeringEnergy consumptionWater coolingEngineeringRefrigerantElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

Increasing the energy ratio of an air conditioner that has a cooled air condenser is a difficult problem, particularly in areas where the temperature and humidity are very high. The efficiency of air conditioners based on standard vapor compression technology can be enhanced by combining active cooling technologies with less energy-intensive inactive cooling technologies. In this study, the cooling performance of combined cooling systems has been experimentally explored. Using four different modes of a hybrid ground-coupled heat exchanger (GCHE), an analysis was carried out to enhance the energy ratio of the active cooling system connected to the GCHE. This was achieved by using the fact that the GCHE outlet air temperature is lower than the ambient temperature and can directly supply space heating or cooling to the condenser tubes of conventional air conditioners. It was observed that with the use of a GCHE for the condenser tubes, the energy consumption of a traditional window air conditioner was reduced by 16.18%.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.954

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 head0.015
GPT teacher head0.199
Teacher spread0.184 · 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
Published2020
Admission routes1
Has abstractyes

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Same venueTransactions of the Canadian Society for Mechanical EngineeringSame topicGeothermal Energy Systems and ApplicationsFrench-language works237,207