A plausible forecast of the energy and emissions performance of mature-technology Stirling engine residential cogeneration systems in Canada
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
Building performance simulation has been used to provide a plausible estimate of the operational performance that could be expected from a mature-technology version of a Stirling engine (SE) residential cogeneration system. This was accomplished by applying lessons learned from investigating the actual performance of a prototype SE system. Simulation results show that if this mature technology system were to be applied in a single detached house with average heat demand in the province of Ontario, it would reduce both GHG and NOx emissions and would have lower primary energy input, even in comparison to a reference system consisting of the best available technology for a condensing forced-air furnace and a high-efficient water heater, and the most efficient fossil-fuels based central power production technology (natural gas fired combined cycle). It must therefore be concluded that the mature technology SE system has real potential to improve efficiencies and reduce emissions in Ontario.
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