District heating: a practical solution for reducing fossil fuel dependency in Quebec’s remote communities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Fossil fuel dependency is a significant barrier to economic growth and self-sufficiency in remote communities. While renewable electricity integration is a common approach to reducing this dependency, investigation of low-carbon heating alternatives is lacking. The present study proposes district heating as a practical pathway to achieving significant reductions in greenhouse gas emissions. A district heating network is designed in QGIS and a simulation model developed in TRNSYS for the community of Whapmagoostui-Kuujjuarapik, Quebec. Generator waste heat recovery, excess renewable electricity and a centralized oil-fired boiler are all considered as heat sources in the model. Simulation results are compared with HOMER-optimized scenarios of hybrid wind-diesel-battery systems revealing that there is a point where district heating becomes the more economically feasible option.
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.
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 | 0.001 |
| 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 | 0.001 |
| 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 it