A model for assessment of energy utilisation within an urban centre
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
This paper presents development of a model for analysis of energy and exergy utilisation within an urban centre of Calgary, Canada. The analysis began with the detailed assessment of energy resource utilisation patterns and energy flows across six different energy consuming sectors, namely energy generation, residential, commercial, industrial, transportation and agricultural. For each sector, the energy and exergy efficiencies were determined. Calgary's overall energy and exergy efficiencies were found to be 40.9% and 15.7%, respectively. Thereafter, the developed model was used to identify energy and exergy losses in different sectors and potential areas for improvement. It was determined that, by switching coal with natural gas by 50%, the CO2 emissions can be reduced by 24.3%. In addition, as much as 31.5% reduction in emissions is also possible by reducing the electricity usage up to 50%.
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 | 0.000 |
| 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 | 0.000 |
| 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 it