MétaCan
Menu
← Back to cohort
Record W4252512240 · doi:10.32920/ryerson.14649075

Evaluation of in-situ cooling performance at renovation 2050: comparing zone vs. central based cooling systems for single family dwellings

2021· preprint· en· W4252512240 on OpenAlexaffabout
Anthony Guadagnoli

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsRelative humidityEnvironmental scienceBuilding envelopeAir conditioningOccupancyEnvelope (radar)Passive coolingWater coolingEnergy performanceCooling loadBuilding energy simulationCooling capacityMeteorologyEnergy budgetCentral air conditioningEnergy (signal processing)Efficient energy useComputer scienceCivil engineeringEngineeringMechanical engineeringGeographyTelecommunicationsThermalElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

The objective of this Major Research Project has been to compare the benefits of cooling performance of zoned and central air conditioning systems using summer 2013 as an evaluation period. Three adjacent houses in Toronto have been studied as part of the Renovation2050 research program. Total cooling energy usage was measured directly from all cooling equipment, along with temperature and cooling energy usage was measured directly from all cooling equipment, along with temperature and relative humidity readings via remote sensors. The goal of this 1-year study was to compare the cooling energy performance of each house, temperature, and relative humidity. The study has used energy simulation, to compare zoned and central systems while accounting for weather, human occupancy, and construction types. Results have shown that there is potential for energy benefits on a zoned system compared to a central system by approximately 95% in total cooling energy use for the study period,and these results are dependent on the building envelope and user types and these results are dependent on the building envelope and user types.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.238
Teacher spread0.190 · 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 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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

Same topicBuilding Energy and Comfort Optimization→French-language works237,207→