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Record W2008741121 · doi:10.1109/pess.2002.1043191

Deriving emission credits from energy efficiency projects

2003· article· en· W2008741121 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicEnergy Efficiency and Management
Canadian institutionsOntario Power Generation
Fundersnot available
KeywordsEfficient energy useEnvironmental economicsEmissions tradingFlexibility (engineering)IncentiveFossil fuelCertificationBusinessElectricity generationGreenhouse gasNatural resource economicsEconomicsPower (physics)EngineeringMicroeconomicsElectrical engineeringWaste management

Abstract

fetched live from OpenAlex

Summary form only given. In 1997, the Ontario Power Generation emission-trading program identified the potential to create emission credits from energy efficiency savings-providing that there was a decrease in fossil emissions. Emission trading provides an economic incentive-of about 0.5 c/kWh to eligible energy efficiency projects. These credits are then used or sold at 90% of their face value. Ontario Power Generation volunteered to retire 10% for a net environmental benefit. Energy efficiency help in the creation of emission credits is providing operating flexibility within the fossil fleet in a cost effective manner. The program created 1.9 billion kWh annually and almost 50% will lead to emission credits. As the emission program evolves and gains acceptance in the market, the energy efficiency projects are expected to increase to above 80%. The presentation provides details as to how the energy efficiency emission credits are derived and certified for use in the program.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score0.999

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)0.0010.000

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 head0.014
GPT teacher head0.220
Teacher spread0.206 · 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

Quick stats

Citations1
Published2003
Admission routes2
Has abstractyes

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