Examine the feasibility of electrifying a natural gas pipeline system: a case study on Enbridge’s Westcoast pipeline
Bibliographic record
Abstract
Climate change is an evolving global issue that needs all industries to act. This research aims to examine the feasibility of reducing operational-related (Greenhouse Gas) GHG emissions at natural gas transmission pipeline through electrification, using Westcoast pipeline in BC as the case study. The research evaluated the GHG reduction potential at the pipeline’s gas compressor stations under three electrification scenarios. A cost-benefit analysis was performed for each scenario and compared with baseline scenarios. All the data in the research were selected using publicly available data. The analysis suggests that electrification will significantly reduce GHG emissions at the Westcoast pipeline; however, all three scenarios would surpass baseline operational cost due to incremental electricity demand. Future uncertainties, such as changing carbon tax price, natural gas price, electricity price, and gas compressor maintenance cost, might shift the electrification project financial analysis results.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 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".