Development of Pipeline Standards for the Delivery of Hydrogen and Hydrogen Blends
Bibliographic record
Abstract
Abstract This paper will discuss the near-, mid-, and long-term development of requirements for the design, material selection, construction, testing and operation of pipeline delivery systems intended for use with hydrogen gas and hydrogen gas blends. CSA Z662, Oil and gas pipeline systems, establishes oil and gas pipeline delivery system requirements in Canada, with natural gas (methane) being the dominant gaseous focus. To provide a mechanism for immediate reduction in greenhouse gas emissions, a significant demand for hydrogen and natural gas blended with hydrogen has emerged. These fuels must be delivered in a safe and effective manner. Addressing hydrogen in standards is currently a focus area around the world with support from many international research organizations, industry, and levels of governments. As the applications of hydrogen blending in existing natural gas pipelines begins to increase and expand, so must the standards that have traditionally been applied for those projects. Recognizing the speed with which the demand for hydrogen is increasing, the CSA Z662 Technical Committee formed a hydrogen task force to focus on 3 deliverables: • A primary framework, covering design, construction and operation requirements for existing and new hydrogen and hydrogen blend systems, suitable for publication in the 2023 edition of CSA Z662; • A detailed set of objective provisions suitable for publication as early as 2027; and • A mechanism for integration of standard maintenance and updating for hydrogen requirements in future editions. In June 2023, CSA Group published the new edition of CSA Z662, which includes a new clause to address provisions for hydrogen and hydrogen blended systems and simultaneously establishes a home for future provisions. The paper will conclude with a summary of the approach and key topics of focus for the next edition of CSA Z662.
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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 | 0.029 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.006 |
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".