Exergetic Assessment of a Turbocharged Stationary Diesel Engine
Bibliographic record
Abstract
An exergetic analysis is presented of a turbocharged stationary diesel engine with a power output of about 19 MW. The system studied consists of a diesel engine, a turbine, a compressor, an intercooler and a radiator. The sites of exergy destructions are identified and quantified and the exergy efficiencies of various components determined. The exergy efficiency of the engine is found to be 40.5% at the specified reference state. The greatest exergy destruction occurs in the engine itself, which account for 84% of total exergy destruction in the system. A parametric investigation shows that the exergy losses of all system components increase with increasing reference-environment temperature. The results provide valuable information regarding the exergetic characteristics of turbocharged stationary diesel engines and appear to be useful for designers. The use of turbocharged stationary diesel engines has increased considerably in recent years as potential small-scale power generating solutions and in vehicle applications, due to their good power output, which helps overcome problems associated with some extreme operating conditions.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".