Solar Desiccant Cooling System as an Alternative Solution for Net-Zero Energy Buildings (NZEBs) in the Tropical Regions
Bibliographic record
Abstract
Abstract The development of energy-efficient cooling systems is a major challenge for Net-Zero Energy Buildings (NZEBs) in tropical climates. This study proposes a solar-assisted two-stage hybrid desiccant cooling system as an energy-efficient air conditioning (AC) system for use in tropical NZEBs. TRNSYS software was used to simulate the proposed model for application in a classroom with a high latent load (51%). The simulation results were analysed in terms of air properties, energy allocation, and potential energy savings. It was discovered that using two-stage dehumidification instead of one-stage dehumidification reduced regeneration temperature from 72 °C to 63 °C, which leads to considerable reduction in backup heater energy consumption. This study shows that by means of the proposed model instead of a fan coil unit, thermal comfort and energy savings of 37% can be achieved.
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.
How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".