Trigeneration: A comprehensive review based on prime movers
Bibliographic record
Abstract
In this paper, various aspects of trigeneration power plants including advantages, challenges and criteria for high efficiency operation are discussed. In trigeneration systems, prime movers are treated to be the heart of the plant and thus an appropriate selection is crucial for successful operation. A comparative analysis of potential prime movers, together with a comprehensive literature review used in trigeneration and, their selection criteria are presented. A case study of a trigeneration plant based on solid oxide fuel cells and an organic Rankine cycle is examined using thermodynamic analysis. This thermodynamic analysis includes performance assessment of the system through energy and exergy efficiencies. An environmental impact assessment is also conducted based on CO2 emissions as a measure. The present study reveals that compared to power cycle efficiency (considering net electrical efficiency), there is a minimum potential of 22% gain in efficiency when trigeneration is used. Also, it is shown that there is more than 200 kg MWh−1 reduction in CO2 emissions when trigeneration is used compared to the case where a power cycle is only used. Copyright © 2010 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".