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Record W2969879481 · doi:10.1504/ijgw.2019.10023363

Techno-economic evaluation of a residential roof-mounted solar system and its power generation: a case study in Canada

2019· article· en· W2969879481 on OpenAlex
Azzam Abu Rayash, İbrahim Dinçer

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Global Warming · 2019
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsPayback periodRoofGreenhouse gasEnvironmental scienceReturn on investmentInvestment (military)Electric power systemMeteorologyWind speedEngineeringAutomotive engineeringEnvironmental engineeringPower (physics)Civil engineeringProduction (economics)GeographyEconomics

Abstract

fetched live from OpenAlex

In this paper, a case study is presented where a residential solar system in Kitchener, Ontario is analysed economically as its annual performance is also assessed. The recorded data for this system are investigated further to better assess its technical performance. Optimal annual performance is observed when the temperature is at 18°C and when the wind speed is at 3.8 m/s. The modelled system without the battery correlates closely with the actual installed system. In fact, the actual return on investment (ROI) for the system is 19.75% while the modelled ROI is 23.5%. The payback time of 5 years is another major highlight of this system. Finally, the greenhouse gas (GHG) emissions of the current system total up to 38,000 kgCO2e/kWh.

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 score0.189
Threshold uncertainty score0.923

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 head0.010
GPT teacher head0.257
Teacher spread0.247 · 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