Comparing the Environmental Impacts of Diesel Generated Electricity with Hybrid Diesel-Wind Electricity for off grid First Nation Communities in Ontario : Incorporating a Life Cycle Approach
Bibliographic record
Abstract
The cost of diesel is rapidly increasing and the environmental impacts associated with diesel fuel combustion are substantial. Hybrid diesel-wind energy was found to be a feasible energy alternative for off-grid electricity production in seven First Nation communities of Ontario. Based on calculating the wind energy potential for a proposed 250 KW wind turbine and determining the amount of diesel that the wind turbine could replace hybrid diesel-wind has the potential to reduce diesel consumption and environmental impacts associated with the current diesel energy systems by 12-46% depending on the wind energy potential. Results of a life cycle analysis comparing the environmental impacts of the proposed hybrid diesel-wind system to the diesel system through the use of GaBi software show that global warming potential is the largest impact for both energy systems, but hybrid diesel-wind can significantly reduce the overall environmental impact caused by off grid diesel electricity generation.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".