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Record W2003915777 · doi:10.1109/pes.2010.5588078

New air cooler with low power consumption

2010· article· en· W2003915777 on OpenAlexaff
Abdul Al-Azzawi, Wahab Almuhtadi, Monica Havelock

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicSolar-Powered Water Purification Methods
Canadian institutionsAlgonquin College
Fundersnot available
KeywordsEnergy consumptionAutomotive engineeringPhotovoltaic systemPower consumptionPower (physics)Computer scienceEvaporative coolerUnit (ring theory)Environmental scienceSolar energyReliability engineeringController (irrigation)Process engineeringElectrical engineeringEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Energy saving mechanism is the reason behind this research project that led us to design, develop and build a new evaporative air cooler unit with high efficiency and low power consumption. This was done by designing a new water distribution system that eliminated the water pump of the standard unit and modifying its mechanical parts. Also, design of an intelligent controller was added to optimize performance of the new unit. This prompted to attain lower energy consumption, longer mean time between failures, lower maintenance, and independence from the power grid. Several tests and analyses have been conducted on both the newly designed unit and the standard unit. The new design delivered air with noticeably higher humidity and lower temperature than the existing unit. The low energy consumed by newly designed unit, also led to a reduction in size of the proposed photovoltaic solar panels as a power source.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.270
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), 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".

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Citations2
Published2010
Admission routes1
Has abstractyes

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