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Record W3195887030 · doi:10.32920/ryerson.14665932.v1

Comparative life cycle assessment: ground source heat pump system versus gas furnace and air conditioner system

2021· preprint· en· W3195887030 on OpenAlexaffabout
Alisha Kathleen Hunter

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsHeat pumpAir conditioningEnvironmental scienceLife-cycle assessmentEnvironmental impact assessmentEngineeringWaste managementEnvironmental engineeringEnvironmental economicsProcess engineeringMechanical engineeringHeat exchangerEconomicsEcology

Abstract

fetched live from OpenAlex

Ground source heat pump (GSHP) systems are an extremely efficient space heating and cooling technology. There is a large consensus throughout the literature that GSHP systems can reduce operational CO2 emissions by up to 80% in comparison to natural gas furnace (GF) and air conditioner (AC) systems. The literature is limited; however, in regards to the specific environmental impacts associated with the systems, as well as the impacts that occur throughout the systems’ entire life cycle. In this project, a comparative life cycle assessment was conducted to compare a GSHP system with a GF/AC system, examining 14 specific environmental impact categories. Results were consistent with the literature in regards to the operational stage; however the GSHP system displayed a significantly greater overall environmental impact. While these results are specific to the region of Ontario, Canada, they call into question the prevailing opinion that GSHPs are the more environmentally sustainable option.

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 categoriesMeta-epidemiology (narrow)
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 score0.242
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.027
GPT teacher head0.277
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 teacher head, not a consensus.

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

Citations5
Published2021
Admission routes2
Has abstractyes

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