Towards Net-Zero Energy Supermarket: An Investigation of Passive and Active Design Strategies
Bibliographic record
Abstract
In this thesis, the design of a supermarket is parametrically explored to reduce the energy consumption from these high energy consuming buildings. Starting with a model which is representative of supermarkets in Calgary, Alberta, Canada a number of parameters (insulation, lighting, windows, phase change material, greenroofing, building integrated photovoltaics, etc) are individually investigated to determine the impact on energy consumption. A model is found to have 30% reduction in building loads before a greenhouse is added to the design to reduce the dependency on transportation and external sources. A new set of parameters are investigated in the greenhouse (window assemblies, shading devices, night-time insulation, semi-transparent photovoltaics, etc) to reduce the energy consumption of the new Complex (supermarket and greenhouse). It is shown that such a Complex can exist with similar performance as a supermarket on its own. Finally, by optimizing the mechanical systems and utilizing cold outside air, energy consumption can be reduced by an additional 20% to achieve a net-zero energy design with the use of rooftop situated building integrated photovoltaics and semi-transparent photovoltaics in the greenhouse. In the end, and through the use of building strategies explored in this thesis, a reduction of 240 tonnes of GHG emissions are avoided through the application of this design.
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.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".