Underground Plant Factory in a Mine Tunnel – Part 2: Passive Ventilation Integration and Economic Feasibility
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Canadian Prairies experience long, cold winters, making indoor farming with controlled environments an attractive solution for year-round vegetable production. Repurposing unused underground mine tunnels to house plant factories shields them from the elements. This study aims to conduct thermal simulations by integrating passive ventilation (PV) and heat recovery techniques into the heating, ventilation, and air conditioning (HVAC) system, forming a PV-HVAC system, to reduce energy consumption and assess the economic feasibility of underground plant factories (UGPF). Utilizing OpenStudio software for thermal simulation, the results demonstrate that the PV-HVAC system reduces HVAC electricity consumption by 74.5% compared to the base case (chiller cooling without heat recovery) and achieves a coefficient of performance (COP) of 12.05. While the PV-HVAC system significantly decreases chiller and boiler energy consumption, there is a slight increase in fan electricity consumption and a humidifier is needed to maintain humidity setpoints. The economic feasibility study reveals an internal rate of return, profitability index, net present value, and payback period of 13.88%, 1.28, $608,460, and 6.7 years, respectively, indicating the project's feasibility.
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.
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 | 0.000 |
| 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 it