Key Learnings From Large-Bore Compressor Piping Design of a Carbon Capture System
Bibliographic record
Abstract
Abstract Thermo-mechanical loading and nominal pipe size are two critical considerations in the design/engineering of large-bore piping configurations, particularly when pipe diameter-to-thickness ratios exceed those commonly treated in conventional codes and standards. These considerations are further challenged when operating space is limited — which makes flexibility in the piping system more difficult to manipulate — and when rotating equipment (such as compressors) must be incorporated into the design. In the case of compressors, when the nominal pipe size is large enough that it is comparable in size to the compressor itself, the rigidity of the pipe can also produce loads on the casing that exceed the allowables. The present study outlines several important design features that should be considered when designing systems that require large-bore piping. To this end, a case study involving the retrofitting of a carbon capture and storage (CCS) facility to an existing plant is presented. In general, the retrofitting of CCS facilities is commonly constrained by the design considerations described above. Holistic design approaches that can accommodate these challenges are therefore of great importance as carbon capture initiatives become more prevalent.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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".