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Record W2601556425 · doi:10.1504/ijep.1996.028277

Solar–powered Stirling engines: a low–cost possibility for village power, pumping and cooling

2014· article· en· W2601556425 on OpenAlexaff
Graham Walker, Philipp Wagner, Vincenzo Naso, Lorenzo Fedelo

Bibliographic record

VenueIRIS Research product catalog (Sapienza University of Rome) · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsStirling engineAir conditioningStirling cycleHeat engineAutomotive engineeringSolar energySolar powerThermodynamic cycleBattery (electricity)Internal combustion engine coolingEngineeringRefrigerationEnvironmental sciencePower (physics)Mechanical engineeringElectrical engineeringPhysicsThermodynamicsCombustion

Abstract

fetched live from OpenAlex

Stirling engines are heat engines that operate on a closed thermodynamic regenerative cycle and are used as power systems, refrigerators or heat pumps. Recent developments in Stirling technology allow the use of low temperature heat sources including flat plate solar collectors. New concepts for low–cost, low ΔT Stirling engines that may be made by village craftsmen using locally available materials are presented. It is anticipated that the machines will be used for water pumping, low capacity refrigerators for food and vaccine preservation, for air conditioning and for low level electric power generation (trickle charging an automobile battery to illuminate a 20/40 W bulb for a few hours during the dark hours).

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 score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.005

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 head0.023
GPT teacher head0.273
Teacher spread0.250 · 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".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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