Hybrid Battery and Sensible Thermal Energy Storage for a Microgrid in a Remote Indigenous Canadian Community
Bibliographic record
Abstract
ABSTRACT Decarbonization of remote northern Indigenous communities requires integration of renewable generation into existing fossil‐fueled energy systems. As these systems approach complete decarbonization, energy storage technologies become increasingly critical. We investigate the impact of battery and sensible thermal energy storage systems in the context of decarbonizing both electrical and thermal loads for the Xeni Gwet'in remote community in British Columbia, Canada. Two scenarios are modeled and compared with renewable energy fractions ranging from 60% to 100%. The two systems modeled include wind and solar electricity generation combined with either: (1) a battery energy storage system, or (2) a hybridized battery and sensible thermal energy storage system. Scenarios are evaluated according to levelized cost of energy to present the techno‐economic impacts of hybridized storage at varying levels of decarbonization. Technical considerations of coupling battery and sensible thermal energy storage, including market readiness, operation and maintenance, and impact on grid performance, are also discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".