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Record W4394764157 · doi:10.1201/9781003347415

Heat Recovery with Commercial, Institutional, and Industrial Heat Pumps

2024· book· en· W4394764157 on OpenAlexaff
Vasile Minea

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Heat Recovery with Commercial, Institutional, and Industrial Heat Pumps presents the basic concepts and thermodynamic behavior of mechanical vapor compression and recompression. It covers both ammonia water absorption and compression/resorption heat pumps. Including theoretical and practical approaches, the book features numerous solved exercises based on real thermodynamic and climatic parameters and case studies with takeaways from on-site experiences to help the reader better identify the advantages and limitations of each heat pumping technology. The book discusses future implementations of heat recovery heat pump technologies that are among the most energy-efficient and environmentally friendly techniques. This book will interest graduate students studying HVAC, thermal systems, and heat pumps. It will also benefit professionals working with heat pumps, industrial process engineers, manufacturers, and research and design personnel.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.034
Threshold uncertainty score0.836

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 integrity0.0000.001
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 head0.024
GPT teacher head0.208
Teacher spread0.184 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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