PGT25+G4 Gas Turbine Development, Validation and Operating Experience
Bibliographic record
Abstract
The PGT25+G4 gas turbine, latest in GE Infrastructure Oil&Gas PGT25 two-shaft aeroderivative family, is a 34 MW-class gas turbine for mechanical drive and power generation applications and maintains the same efficiency and availability of the previous PGT25+. The PGT25+G4 was validated through an extensive test program, which included some key test-rigs such as the full-scale LM2500+G4 Gas Generator test and other component tests, in advance of the First Engine to Test (FETT). The FETT included an equivalent-to-production configuration package (gas turbine, auxiliaries and control system), ran in a dedicated area in GE Oil&Gas Test Facilities to validate the machine for both mechanical drive and power generation applications. All critical-to-quality parameters of the HSPT (High Speed Power Turbine) were investigated, such as turbine gas path components temperatures and stresses, PT performances and PT operability when coupled with the LM2500+G4 Gas Generator. First production unit is currently in operation at Alliance Pipeline Canada Windfall 1 Compression Station. This paper describes the gas turbine main features, how the test program was built and discusses FETT results. Moreover, gas turbine field operation experience and lessons learned are presented.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".