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Record W2972517269 · doi:10.1016/j.procs.2019.08.075

Thermodynamic analysis of the performance of sub-critical organic Rankine cycle with borehole thermal energy storage

2019· article· en· W2972517269 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProcedia Computer Science · 2019
Typearticle
Languageen
FieldEngineering
TopicThermodynamic and Exergetic Analyses of Power and Cooling Systems
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOrganic Rankine cycleEnvironmental scienceDegree RankineThermal energy storageFossil fuelBoreholeRankine cycleElectricityProcess engineeringGreenhouse gasThermal efficiencyNuclear engineeringWaste managementWaste heatThermodynamicsMechanical engineeringGeologyHeat exchangerChemistryEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

In an effort to reduce fossil fuel consumption and greenhouse gas emissions in the Canadian residential sector for space heating, a first-of-its-kind seasonal solar high-temperature borehole thermal energy storage (BTES) with district heating system for a community of 52 houses was built and has been in operation in Okotos, Alberta, Canada since 2007. In the last five years, the system was able to achieve an average solar fraction and coefficient of performance of 96% and 27, respectively. This study aims to improve the thermal efficiency of the system by implementing a simple organic Rankine cycle (ORC) to generate electricity for operating pumps in the system, and utilizing the solar energy stored in the BTES at 60–80°C as the heat source. The study shows that it is thermodynamically feasible.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.002
GPT teacher head0.173
Teacher spread0.171 · 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