Towards net zero energy modular housing: a case study
Bibliographic record
Abstract
The paper summarizes an investigation of the performance of container based housing units developed by Ladacor Ltd, and compares this performance to traditional housing constructed according to existing standards and codes. The results indicate that the case study housing system can reduce thermal loads (heating and cooling) by about 57% as compared to the same house designed according to the code. Implementing additional efficiency measures and solar design strategies such as increased south window size, suitable shading devices, thermal mass, and more airtight construction, leads to improved performance. This enhanced scenario can reduce the thermal load by 72% as compared to the code scenario and by about 35% as compared to the original case study system. Achieving a net-zero energy status can be reached by integrating photovoltaics on the south roof of the single-family housing designed with Ladacor roof, assuming energy efficient appliances, lighting and domestic hot water. The optimal case can reach a net positive energy status, with a PV system integrated on the south facing roof surface. Results from this investigation can serve in developing innovative design concepts and guidelines for the design of low cost, self-sufficient modular housing.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".