Techno-Economic Feasibility of a Solar-Assisted Transcritical CO2 Heat Pump System for a Canadian Net-Zero Energy Home
Bibliographic record
Abstract
This work focuses on the parametric sizing and performance evaluation of a water glycolto-water transcritical CO2 heat pump water heater to meet the space conditioning and water heating loads of a Canadian single-family home.A commercial transcritical CO2 heat pump water heater was retrofitted, and a performance map was developed under steady state testing.An empirically derived performance map was developed to investigate the energetic and economic feasibility of a solar-assisted heat pump system in seven cities located across Canada.This system was designed to meet the space heating, space cooling, ventilation and domestic hot water loads of a Net-Zero energy building archetype.The mechanical system design and building performance model were developed in TRNSYS and the component models were experimentally validated.The simulation model was used to develop 1440 scenarios in a parametric sizing study to represent the diverse climate locations across Canada.For the parametric sizing study, the solar collector size, heat pump capacity, and sensible storage tank volumes were varied.Simulation results show that the system demonstrates efficient solar energy collection, storage, and utilization during the heating season, however, the system's performance during the cooling season is poor.This reduced performance is attributed to inefficient solar resource utilization, higher heat pump energy consumption, and frequent overheating of the sensible storage tank.Overall, the economic feasibility of the proposed system is found to be poor for all scenarios except for those corresponding to the cities of Whitehorse, Winnipeg, and Calgary.Dr. Cynthia Cruickshank for their continuous support and guidance throughout my entire research.You have been stupendous roles models of professionalism and patience, I have learned tremendously from you over the last three years.I appreciate your
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".