Evaluating train-induced wind power potential in Vancouver’s SkyTrain system
Bibliographic record
Abstract
This study examines the feasibility of harnessing train-induced airflows as a renewable energy source in Vancouver's SkyTrain metro stations, using Burrard Station as the main test site. Airflow data were collected with high-precision anemometers, and Dirichlet Process Mixture Models (DPMM) were used to analyze wind speed distributions. A small Archimedes-type turbine was tested in controlled conditions, achieving a maximum output of 202.5 mW and motor efficiencies between 20.3% and 59.0%.Economic analysis using RETScreen revealed capacity factors of 25.01% for the Burrard-to-King George route and 10.84% for the Burrard-to-Waterfront route. However, extended payback periods (50-133 years) and negative internal rates of return (-5.7% to -12.1%) were observed. Despite these economic challenges, the system achieved a 93% reduction in carbon emissions, aligning with Vancouver’s climate goals.This research highlights the environmental benefits of train-induced wind energy in urban transit systems and emphasizes the need for better turbine designs, cost-reduction measures, and supportive policies.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.007 |
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; both teacher heads agree on what is shown here.
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".