Optimizing Wind Power for Energy Efficient Building Design in Tropical Hot-humid Climate of Malaysia
Bibliographic record
Abstract
Being a member of the Kyoto Protocol, Malaysia is obligated to initiate programs to reduce global warming according to its own availability of indigenous resources. It is to explore and optimize whatever possibilities that can be contributed from its domestic region. Several initiatives have been taken to capitalize on what Malaysia is abundant with and one of its renewable resources is solar energy. It has been reported that to rely on wind energy would be futile because of the characteristics of wind in tropical climates are unpredictable, erratic and multi-directions. Several design strategies have been attempted to encourage air movement into Malaysian buildings but because of the nature of its climate where the average diurnal range is low, indoor air movement has to be induced by electric fan or air-conditioning. However, thus consumes a lot of electricity every month. This is clearly not good to reduce global warming. This paper explores of what extent can wind or air movement be contribute and be better utilized as an alternative energy to achieve Malaysia’s initiative to meet the Kyoto Protocol requirements.
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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 | 0.000 | 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) | 0.001 | 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".