Towards Net-Zero Energy in Hot-Dry Regions: Building Envelope Design Strategies for Single-Family Homes
Bibliographic record
Abstract
Global climate change is serving as warning signs it gradually begins to capture the attention of people at large. Many actions have been and continue to be taken by governments and organizations to preserve the planet, which is impactful and needed. But conservation efforts are not exclusive to governments and large institutions- individuals can contribute in multiple ways that will have ripple effects, one being the choice to build sustainable, net-zero energy homes. Building a house that is a net-zero energy requires many strategies.One of the most compelling factors in reducing the home energy consumption, to then achieve a net-zero energy home especially in hot-dry regions, is the optimization of the building envelope performance. This paper discussed several building envelope design strategies that are suitable for homes in hot-dry regions and tested them.The Methods including analyzing case study from Qater by using computer and were analyzed using Building Information Modeling (BIM) tools for energy simulation programs. All those strategies were applied to a design proposal for a house in Riyadh, Saudi Arabia, which is a hot-dry region. Further, the same simulation analyses were projected onto an identical house to the design proposal, but with a traditional, low-efficient building envelope.The results showed that the house with the high-efficient building envelope had 48% less energy consumption than the one that has the low-efficiency envelope.This research demonstrated the efficacy of the building envelope to reduce the energy consumption of single-family homes in hot-dry regions. The study outlines vital strategies for a high-efficient building envelope design in hot-dry areas that reaching net-zero energy homes and thus help to offset the negative impact of climate changes in arid areas.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".