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Record W2979927955 · doi:10.2118/198118-ms

Green Transition by Green Refrigerants for HVAC System

2019· article· en· W2979927955 on OpenAlexaboutno aff
S K Dada Mohammad, Obaid Mohamamed Al-Ajmi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerantHVACAir conditioningMontreal ProtocolEnvironmental scienceGlobal warmingOzone layerOzone depletionGreenhouse gasClimate changeNatural resource economicsGlobal-warming potentialMeteorologyEnvironmental engineeringEnvironmental protectionWaste managementOzoneEngineeringHeat exchangerGeographyEconomicsEcology

Abstract

fetched live from OpenAlex

Abstract Recently, the Climate Change has become a major challenge across the globe. It is disrupting national economies, costing us dearly today and will cost even more tomorrow. Therefore, ‘2015 Paris Climate Change’ marked a historic turning point as it arrived at a universal agreement on climate to keep global warming below 2 °C. HVAC (Heating, Ventilating & Air conditioning) system in general and its refrigerants (heat transfer media) in particular, has significantly impact Green House Gases (GHG) and climate change. Such systems contribute to GHG emission in terms of direct non-green refrigerant emissions and indirect CO2 emissions associated with the energy needed to operate / run the HVAC system. Hence, HVAC industry has been constantly supporting the global efforts for Green Transition. The two measures of environmental effect are Ozone Depletion Potential (ODP) and Global Warming Potential (GWP). ODP represents the relative ability of a refrigerant (CFC & HCFC), used in Air conditioning System, to destroy stratospheric ozone molecules when released to the atmosphere and thereby increasing the UV radiation reaching the earth. CFCs (Chloro Fluoro Carbons like R 11) have the highest ODP, HCFCs (Hydro Chloro Fluoro Carbons like R 22) have comparatively less and HFCs (no Chlorine Content, like R 410A) have zero ODP. The Montreal protocol stipulates that HCFCs (like R 22) are scheduled to be phased out by 2040 (likely to be advanced to 2030) in Article 5 countries like Middle East and others. In non-article 5 countries (developed countries), the environmentally friendly substitutes for HCFCs are being developed and used. Currently Middle East is under extended phase out schedule for R 22 till 2030. The local regulatory bodies (like EPA, MEW–Kuwait) have not yet published any recommendations for its environmentally substitute. Air conditioning & Refrigeration system is extensively used for Control Rooms, Electrical Substations and Offices etc. within KOC premises. This paper provides a detailed study of ‘Refrigerants Progression’ towards Green transition while providing excellent performance benefits. It also provides KOC best practices considering challenges & implementation while taking into account the merits and limitations of Refrigerant(s) for "KOC Air-conditioning system". It is worth broadening our choice of HVAC and applicable Green Refrigerant. This paper also discusses the steps being taken by KOC towards adopting "Green Refrigerants" to improve KOC's image in protecting our fragile environment, in line with the Paris COP 21Climate Change agreement.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.003

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 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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