Techno-economic analysis of hybrid solar-assisted geothermal and biomass heating systems in remote subarctic communities (Nunavik, Canada)
Bibliographic record
Abstract
The Nunavik region mainly relies on fuel-oil for their heating needs, leading to high energy costs and sustainability issues. Studies focusing on renewable heating alternatives in remote Canadian regions are limited and have been evaluated under different models and methodologies. This work studied several heating alternatives to meet the heating needs of a building in Nunavik, Canada, to reduce the dependence on fossil fuels, the amount of greenhouse gas emissions, and overall heating cost. Studied alternatives include biomass furnace and solar-assisted geothermal heat pumps, which were compared to fuel-oil #2 heating. A 50-years life cycle cost (LCC) analysis was carried out for each alternative considering environmental, technical, and economic issues. A strategy of net metering obtaining credits/revenue by injecting PV electricity into the local grid was considered. The LCC analysis shows that a mix of heating systems represents an interesting alternative for Northern Québec with a levelized cost of energy that varies from 0.23 to 0.62 $/kWh, reducing emissions up to 18.9 tons of CO 2 eq/year. Conventional heating oil system has a comparable cost of 0.20 $/kWh after fuel-oil subsidy and 0.26 $/kWh before subsidy. Results could eventually be extended to similar subarctic settings in Canada and worldwide. • Renewable heating systems reduce reliance on fossil fuels in Nunavik, Canada. • Mixed systems (GSHP, biomass, and solar PV) offer competitive costs and low GHG emissions. •Scenario S4 achieved the best balance: energy independence, low emissions, and economic feasibility. •Net metering credits enhance solar-assisted geothermal systems' competitiveness in subarctic climates. •Study findings applicable to isolated northern regions globally for energy independence.
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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 | 0.000 | 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 | 0.000 | 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 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".