Огляд і бібліометричне дослідження надкритичних енергетичних циклів CO2. Поточний стан досліджень і розробок
Bibliographic record
Abstract
Recent decades have been characterized by growing interest in research into improving the efficiency of these cycles. The purpose of this work is a bibliometric analysis based on Scopus data (2001-2024) and an overview of the main trends associated with supercritical cycles operating in the region of the carbon dioxide critical point. The objective is to provide a comprehensive overview of research productivity, impact, and trends in supercritical carbon dioxide cycling research over the past two decades, providing useful information for strategic research planning. The methods used were from the Scopus database due to its extensive collection of documents. The review of work lasted from 2001 to 2024, covering a significant time in this area. The literature search was conducted for the following specific keywords: “Supercritical”, “Cycle”, “Carbon dioxide”, “Equation of State”, “Energy Cycle”. The results show growing research interest in this area, which is mainly led by the United States, China, the United Kingdom, Canada, Italy, and Germany. Covering a variety of industries such as engineering, energy, and the environment, this research delves into technical areas such as supercritical carbon dioxide cycles and the real gas equation of state, which allow modeling of the flow of a working fluid in a compression loop. Conclusions. The bibliometric analysis presented in this work offers information on the evolution of research on supercritical carbon dioxide cycles and the equations of state of real gas in the metastable region of carbon dioxide from both academic and industrial viewpoints. By exploring the industry context and the relationships between the findings and the scope of key journals, this analysis illuminates the significance of the findings and their practical implications. New topics identified through keyword analysis can stimulate research planning in the scientific sector. Thus, this comprehensive bibliometric study serves as an independent reference for technology forecasting and monitoring.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".