Performance Improvement of Membrane Energy Exchanger Using Ultrasound for Heating, Ventilation, and Air Conditioning Application
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Air conditioning (AC) systems consume the maximum proportion of the total electricity used in the building sector. The demand for AC systems is expected to increase exponentially in the coming years due to various reasons such as climate change, and an increase in affordability and living floor space. A membrane-based liquid desiccant AC system along with energy recovery ventilating equipment is considered as a prospective alternative to the conventional air conditioning system (CACS). It has the potential to meet the increasing current and future AC demand in a sustainable manner. Its efficiency and energy-saving potential with respect to CACS depend on the performance of the membrane-based dehumidifier, regenerator, and energy recovery ventilating equipment, commonly referred to as membrane energy exchangers (MEEs). MEE is an indirect exchanger type in which a membrane separates the working streams. This intermediate membrane creates an additional resistance for the heat and mass transfer processes in the MEE. To reduce the resistance, this study experimentally and numerically investigate the influence of ultrasound on the performance of the MEE for dehumidification, humidification (applicable for membrane-based evaporative cooling and desiccant regeneration devices), and energy recovery processes. It is found that the vibration due to ultrasound has the potential to improve the mass transfer performance of MEE by the resistance at the air-membrane interface.
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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 | 0.000 | 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) | 0.000 | 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 it