Life Cycle Optimization of a Residential Solar Combisystem for Minimum Cost, Energy Use and Exergy Destroyed
Bibliographic record
Abstract
This thesis presents the optimization of a model of a solar combisystem installed in an energy efficient house in the climate of Montreal, Quebec. The work presented in the thesis includes: 1) A methodology for the optimization of a solar collector system based on four different objective functions; 2) The development of a computer-based platform for combisystem optimization; 3) Recommendations for the optimal configurations of a solar combisystem to minimize life cycle cost, life cycle energy use and life cycle exergy destroyed; and 4) The analysis of the performance of the hybrid stochastic, evolutionary and deterministic optimization approach. \nThe optimizations, using is a hybrid particle swarm and Hooke-Jeeves optimization algorithm, were able to reduce the life cycle cost of the combisystem by 19%, the life cycle energy use by 24%, the life cycle exergy destroyed by 33% and 24% for the technical boundary and physical boundary, respectively. \nDue to the high cost of the solar collector technologies and the low price of electricity in Quebec, none of the configurations have acceptable financial payback periods. However, all of the configurations have energy payback times within 7 years. \nFor the life cycle exergy destroyed, using the technical boundary favors the use of electricity over solar energy due to the low exergy efficiency of the solar collectors. Using the physical boundary, on the other hand, favors the use of solar energy over electricity.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".