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Record W4389584772 · doi:10.17118/11143/20936

Measured performance of an earth-air heat exchanger in a commercial solargreenhouse in Ontario, Canada

2023· article· en· W4389584772 on OpenAlexafffundabout
Robert Stewart, William David Lubitz, Syeda Humaira Tasnim

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGreenhouse Technology and Climate Control
Canadian institutionsUniversity of Guelph
FundersMinistry of Agriculture, Food and Rural AffairsOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsHeat exchangerGreenhouseEnvironmental scienceGreenhouse gasEarth (classical element)MeteorologyAtmospheric sciencesEngineeringMechanical engineeringGeologyGeographyPhysics

Abstract

fetched live from OpenAlex

Abstract: A solar greenhouse featuring an earth-air heat exchanger (EAHE) system was studied from August to December 2022. The greenhouse is located in Almonte, Ontario, near Ottawa, and produces hydroponic lettuce yearround. The EAHE system consists of a network of pipes buried beneath the greenhouse, through which air is moved using fans at the inlets. Supplementary heating and cooling performance of the EAHE was examined, as well as humidification and dehumidification via an energy and water balance through the system. Heating coefficient of performance (COP) values ranged from 2.22-2.69, and heat supplied ranged from 9-42 W/m2. Cooling COP ranged from 3.61 to 6.51, and cooling supplied ranged from 26.6-48.1 W/m2. The EAHE system was not found to have a significant effect on humidity levels in the greenhouse. Further work is necessary to fully understand winter performance of the system and optimize the control protocol to make full use of the EAHE system.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.500

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 head0.024
GPT teacher head0.196
Teacher spread0.172 · 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 designObservational
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 routes3
Has abstractyes

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