Complementary Configuration and Operation of a <scp>CCHP</scp> ‐ <scp>ORC</scp> System
Bibliographic record
Abstract
This chapter explains the combined cooling, heating, and power (CCHP)-organic Rankine cycle (ORC) system configuration. It focuses on the optimal operation strategies that are designed for normal load and overload cases. The chapter explores the evaluation criteria of the CCHP-ORC system. It provides a case study results to verify the effectiveness of the proposed system configuration and operation strategies. Fortunately, by adjusting the loads of the electric chiller and the ORC dynamically, the electricity and thermal energy outputs of the presented CCHP-ORC system can be changed to accurately match the energy requirements of users over a wide load range. Generally, the designed capacity of CCHP-ORC system is sufficient to meet the energy requirements of users. The three criteria chosen to show the CCHP-ORC system performance are primary energy consumption (PEC), carbon dioxide emissions (CDE), and operational cost (COST).
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".