Energy and exergy analyses of a novel power cycle using the cold of LNG (liquefied natural gas) and low-temperature solar energy
Bibliographic record
Abstract
A new cogeneration system which uses CO2 (carbon dioxide) as a working fluid is proposed and analyzed. The system has high efficiency and no CO2 and other emissions. Thermal energy from a low temperature solar energy collector and the cold of LNG (liquefied natural gas) can be effectively utilized together. The system consists of a subcritical Rankine-like cycle, a solar collector and LNG vaporizing subsystems. By utilizing the LNG vaporization subsystem as the cycle cold sink, the cycle condensation process can be achieved at a temperature much lower than the ambient. Also, high-pressure liquid CO2 ready for disposal can be withdrawn from the cycle without consuming additional power. The effects of several key thermodynamic parameters on the system performance are examined based on various performance criteria. The results show that the performance of the system can be improved by adjusting the turbine inlet temperature, the LNG flow rate and the main heat characteristics of the solar energy system. Also, with a regenerator added to the cycle, a performance improvement is obtained that permits a reduction in the solar collector area. The energy and exergy efficiencies of the overall system are determined to be 60.1% and 61.3%, respectively.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".