Transient and steady-state Mobile Air Conditioning operation with the Inclusion of and Internal Heat Exchanger
Bibliographic record
Abstract
This thesis investigates the change in power consumption for a mobile air conditioning (MAC) system from the introduction of an internal heat exchanger (IHX). The internal heat exchanger is so named since it is a simple heat exchanger that is placed internally into the AC system. It serves to transfer heat from the high to low pressure refrigerant to maximize the system cooling capacity. The work investigates how other performance parameters such as the pressure drops, IHX capacity, evaporator capacity, coefficient of performance and the absolute efficiency ratio change from the introduction of the IHX. The steady-state simulation results are compared to data available in the literature and transient experimental tests including the cabin cool-down, and the simulation results from the New European Driving Cycle. The results from the simulations show a reduction in power consumption of up to 2% in high ambient temperatures but an increase in power consumption of up to 1.5% for low ambient temperatures. The power consumed by the MAC system is largely by the compressor. Placing the thermal sensing bulb (TSB) of the thermal expansion valve downstream of the internal heat exchanger yielded higher MAC coefficient of performance, lower suction line pressure drops and compressor power consumption compared to placing the TSB upstream of the internal heat exchanger.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".