An integrated heat recovery and storage system for a residential building
Bibliographic record
Abstract
Abstract In this article, a novel multigeneration system is proposed which can produce four useful outputs for a small residential building located in Ottawa, Ontario (Canada). The residential building has a total of six floors, 24 units, and houses ~96 residents. The system uses parabolic solar collectors to superheat steam, which then provides energy to the remainder of the cycle. During the nighttime or poor weather conditions, the system can still function effectively by using hot and cold molten salt storage tanks. The molten salt storage tanks contain mixtures of NaNO3 and KNO3, at 45% and 55%, respectively. The proposed system has an overall energetic and exergetic efficiencies of 43.33% and 60.55% during the heating process, and 38.42% and 70.87% during the cooling process, respectively. To effectively operate, the system must consume 2256 kW of solar energy. The high and low‐pressure turbines have a combined power output of 713.8 kW, at an isentropic efficiency of 90%. The heating and cooling loads output from the condenser and the evaporator were calculated to be 471.7 and 316 kW, respectively. The load produced from this system can adequately satisfy the peak load conditions. The cascade system added to the evaporator will enable it to act more effectively compared to the condenser in terms of the coefficient of performance (COP). Also, the desalination system is capable of meeting the daily water requirements of 654.12 m3/day, by consuming untreated water at a flow rate of 84.71 kg/s and releasing distilled water at 7.55 kg/s.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".