A Case-Study Comparison Towards Quantifying Energy Saving Strategies in Big-Box Retail Stores
Bibliographic record
Abstract
This research focuses on energy-related initiatives implemented by one big-box retail chain in Canada. Through analysis of energy reduction strategies, the study compares the energy performance of two stores, one of which operated with conventional design features and the other which was operated with energy-related upgrades. The results of this research conclude that the store constructed with advanced technological solutions outperformed the other in terms of energy-use intensity by 44%. The research also reveals that premium costs related to the advanced technologies were effective choices. For example, the upgraded mechanical strategy showed an ROI of 52% and a simple payback of 2 years. Finally, the research analyzes initiatives that are currently under evaluation by some of North America’s largest retail companies. The results show further energy efficiency opportunities in areas such as retail lighting and plug load reduction strategies, with each offering further reductions of 3% and 2-4% respectively.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".