Evaluation of a Dual Tank Indirect Solar-Assisted Heat Pump System for a High Performance House
Bibliographic record
Abstract
This work focused on the design and evaluation of an integrated mechanical system, which incorporated a dual tank indirect solar-assisted heat pump, that offsets spaceheating, cooling, and domestic hot water loads for a high performance house.A model of the system was developed to investigate the effects of various parameters on the performance of the system.These parameters included the tank configurations, the solar collector size and orientation, and heat pump size and controls.In addition, an experimental study was conducted to investigate the relationship between the heat pump load side flow rate, the heat pump performance, and the thermal stratification in the storage tank.The experimental results indicated that the coefficient of performance of the heat pump reduced with lower flow rates.However, lower flow rates could result in higher temperature rises across the condenser and greater levels of the stratification which could improve the overall performance of the system by reducing the auxiliary energy consumption.Results from the modelling and experimental work were compared and the experimental results were used to improve the heat pump performance map that was used in the simulations.The simulation results showed that the system could achieve a free energy fraction of 0.506 (neglecting energy draws from circulation pumps and fans) for space-heating, cooling, and domestic hot water.This result suggests that the system does have the potential of reducing energy consumption in the residential sector in Canada.I would like thank my supervisor, Dr. Cynthia A. Cruickshank, for her continuous support, guidance, and encouragement over the past two years.It has been a great pleasure working with
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".