Theoretical Development of Thermodynamic Properties of Environmental Friendly Refrigerant RE170 by Using Martin Hou Equation of State
Bibliographic record
Abstract
This paper deals with the theoretical development of thermodynamic properties of an environmental friendly refrigerant dimethylether (RE170). Since hydrochlorofluorocarbons (HCFCs) and hydrofluorocarbons (HFCs) are going to be phase out and phase down as per Montreal and Kyoto protocol respectively. Refrigerant RE170 has zero ozone depletion potential (ODP) and very low global warming potential (GWP) which is less than two. Hence RE170 is considered as a viable option to replace for the refrigerants with high global warming potential (GWP) like HCFCs and HFCs. RE170 can be used as blend component with other ecofriendly refrigerant. The main objective of the present study is to compute the thermodynamic properties of RE170 by using Martin Hou equation of state. Thermodynamic properties are useful to do the thermodynamic analysis of vapour compression refrigeration cycle. The properties computed are saturation vapour pressure, liquid density, specific volume, enthalpy and entropy (both in the saturated liquid and vapour state). In the present study a MATLAB code is developed to compute the above considered thermodynamic properties from the temperature about 133K-363K and pressure up to 27.2 bar. The computed properties of dimethylether is compared with NIST REFPROP database. Since thermodynamic properties of RE170 is not available in ASHRAE hand book and also in literature. Therefore NIST REFRPROP can be considered as reliable source as that of ASHRAE. The results shows that deviation of liquid and vapour phase enthalpy from that of NIST is -0.058 to 2.55%. Similarly deviation of liquid and vapour phase entropy from that of NIST is -0.037 to 1.88%. Deviation of specific volume and liquid density from that NIST is 0.10 to -2.54% and -0.42 to 0.008% respectively. Variation of saturation pressure is less than -0.65%. Overall the computed thermodynamic properties of RE170 by using Martin-Hou equation of state shows good agreement with NIST for the temperature range (133K-363K) and pressure up to 27.2 bar.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".