Polish LNG terminal influence on natural gas quality available in the Polish gas transmission network
Bibliographic record
Abstract
Abstract Technical start of LNG terminal in Swinoujscie, was a significant milestone in the history of Polish natural gas network development. Polish gas market is now open for suppliers from all over the world. Energy security has been significantly increased. LNG terminal availability may guarantee security of supply and also stabilize composition and other physicochemical NG parameters. The analysis of NG characteristic changes after the start of deliveries from LNG terminal is presented in this document. Concentration of methane, ethane, propane, nitrogen and parameters like gross calorific value and Wobbe index for 16 regularly distributed exit points were investigated. The chosen parameters and ingredients were matched with gas from vaporization process. 913 days before and 912 days after the terminal launch were chosen. Quality measurements of NG were made by Gas Transmission Operator GAZ-SYSTEM S.A. with chromatographs and published on their official website. Volumes of LNG vaporized during the tested time were consumed by increased demand of end users and developing underground gas storages. NG from terminal was not a substitute of fuel from other import directions. It has been proven that gas from LNG terminal could have direct and indirect influence for gas collected in exit points. Indirect influence appeared with increasing distance from Swinoujscie entry point. South-east parts of Poland were totally free of LNG regasification process influence. High purity and higher energy density of NG from vaporization process has positive influence for transmitted gas quality. Gas mixture from interconnection points, LNG terminal and domestic production meets the standards of NG quality. This mixture can be used by all end users without complaints.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".