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Electric Thermal Storage Option for Nova Scotia Power Customers: A Case Study of a Typical Electrically Heated Nova Scotia House

2011· article· en· W1576543551 on OpenAlexaboutno aff
Ali M. Syed

Bibliographic record

VenueEnergy Engineering · 2011
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaNova (rocket)Environmental scienceElectricityElectric powerHeating systemEngineeringPower (physics)Electrical engineeringMechanical engineeringGeographyPhysicsArchaeology

Abstract

fetched live from OpenAlex

Nova Scotia Power (NS Power) offers an incentive to the owners of electrically heated houses in Nova Scotia to switch from conventional electric baseboard heaters to electric thermal storage (ETS) systems and enjoy the rebated time-of-day (TOD) electricity rates. For this study, a statistically representative, electrically heated, existing Nova Scotia house was modeled in the building energy simulation software ESP-r to estimate its peak heating load and hourly heating energy consumption for an entire year. Based on the ESP-r simulation results, the ETS system was sized for the house, and the energy cost saving realized with this system was estimated. It was found that, compared to conventional electric baseboard heating system, the ETS heating system can save 41–48% in the heating cost on an annual basis, yielding a simple-payback (SPB) period for this retrofit of less than eight years.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.818

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.204
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 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

Citations12
Published2011
Admission routes1
Has abstractyes

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