Natural Design Procedures for Enhancing Energy Efficiency in Buildings
Bibliographic record
Abstract
Cooling and heating of buildings account for a significant part of global energy consumption, with the expanding need to decrease energy demands, developing new energy-efficient innovations and technologies is essential.Sustainability has gained mainstream attention in the recent decade as a response to the global quest for environmentally responsible buildings.This study focuses on the shape factor as an initial part of the design, during which a biophysical framework is developed to facilitate access to pertinent analogies.It offers a structured blueprint of heat regulation mechanisms to aid in discovering and selecting appropriate methods from the extensive natural database.A range of morphological configurations was identified to illustrate a technique that assesses the influence of form on the energy efficiency of buildings.The climate and environment of Al Mafraq-Jordan are taken as a case study to explore the effects of shape factors on the energy performance of buildings.The study analyzed the outcomes to determine how the form of a building affects its energy performance.Additionally, the research established a number of shape parameters that might be useful in figuring out how a building's form and primary energy loads relate to each other, including lighting, heating, and cooling.The design tools are crucial in the initial design phase, encompassing the investigation model, evaluation of selected analogies, and abstract exploration channels.In this phase, different organisms with unique adaptation strategies are examined, as they provide insight into the abstraction of their methodologies.The final results showed that the more compact the external envelope is, the more energyefficient the building will be.The main recommendation was to explore more geometric shapes further compared with a base compact shape, which is the sphere regardless of the diameter, as this will help include such results in the development of building codes for design practices in Jordan.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".