Opportunities of high temperature heat pump integration in various industrial subsectors
Bibliographic record
Abstract
Industrial electrification is an important step on achieving net-zero in industry. For several industrial subsectors in Canada, a significant portion of the energy input is consumed in fossil fuel boilers. An interesting solution is the replacement of the boiler with a high temperature heat pump (HTHP) capable of delivering the required process heat. The efficiency of a HTHP being closely dependent on the waste heat temperature levels, this effect is also studied. The results show that electrification of boilers by HTHPs being supplied with waste heat at 29°C leads to energy savings of 11%, 14% and 38% in the petroleum refining, pulp and paper and food and beverage subsectors respectively. These numbers can significantly increase when part of the heat can be obtained through heat recovery alone and/or heat pumping from higher-temperature waste heat, which is expected to always be the case, although in proportions that are site-specific. One challenge in making HTHP projects cost-effective is the higher electricity cost compared to fossil fuels. This issue is partly addressed through carbon pricing mechanisms and a high coefficient of performance (COP).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".