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Record W7093827733

Canadian R&D on oil-fired integrated systems

2018· other· W7093827733 on OpenAlexaboutno aff

Bibliographic record

VenueOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2018
Typeother
Language
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsASHRAE 90.1Efficient energy useRange (aeronautics)Measure (data warehouse)CombustionPresentation (obstetrics)
DOInot available

Abstract

fetched live from OpenAlex

This presentation will describe research and development presently being conducted on oil-fired space and water heating systems at the Combustion & Carbonization Research Laboratory (CCRL) in Ottawa, Canada. It will focus on R& D activities at CCRL in support of the Canadian Oil Heat Association (COHA); in particular, progress will be reported on activities to develop suitable oil-fired integrated systems to satisfy the low energy demands of new homes and to define outstanding issues and recommend solutions relating to sidewall venting, particularly in cold climates. Additional activities to be discussed relate to the development of appropriate seasonal efficiency standards for oil-fired combustion systems, in support of Canadian federal and provincial policy initiatives. The first activity in this standards area is a determination of the most appropriate measure of seasonal efficiency of complex integrated space/water heating systems. Performance of a range of existing and prototype integrated systems will be examined and their overall performances defined, using heat loss, heat balance and combined methods, for a wide range of cyclic operations and demands. The draft standard may be either a (slight or detailed) modification of the existing ASHRAE standard, or may be a new more appropriate test and analysis procedure, for the range of present and future systems suitable for Canadian applications in both new, low energy housing and in existing housing. The second standards activity is the development of an appropriate measure for the seasonal efficiency of sidewall vented oil-fired appliances.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.790
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.222
Teacher spread0.208 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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