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Record W2313808418 · doi:10.1115/es2008-54314

Operating Experience With a 240 kW Microturbine Combined Heating, Cooling and Power System

2008· article· en· W2313808418 on OpenAlexaffabout
Hannu E. Ja ̈a ̈skela ̈inen, James S. Wallace

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicThermodynamic and Exergetic Analyses of Power and Cooling Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAbsorption refrigeratorChillerChilled waterWater coolingRefrigerationWaste heatElectric powerEngineeringWaste managementAutomotive engineeringCooling capacityEnvironmental sciencePower (physics)Nuclear engineeringElectrical engineeringMechanical engineeringHeat exchanger

Abstract

fetched live from OpenAlex

A 240 kWe integrated microturbine chiller/heater power system was installed on the campus of the University of Toronto at Mississauga (UTM) in 2005 to provide heating or cooling in combination with electric power generation. The system consists of four 60 kWe microturbines fueled by natural gas and a 110 refrigeration ton (389 kW) lithium bromide absorption chiller that utilizes waste heat from the microturbines. The chiller can be operated in cooling mode to supply chilled water in summer for cooling, or in heating mode to supply hot water (140°F or 60°C) in winter for heating. Campus requirements for electrical power, heating and cooling are presented. Results from operating experience over a two year period 2005–2006 are presented. Recommendations are provided to guide future installations to make full use of the equipment’s potential.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.006
GPT teacher head0.191
Teacher spread0.185 · 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

Citations5
Published2008
Admission routes2
Has abstractyes

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