Optimal design, sizing and operation of heat-pump liquid desiccant air conditioning systems
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
Heat-pump liquid desiccant air conditioning (heat-pump LDAC) systems can provide effective control over indoor air humidity and provide healthy environments for occupants. Although several studies have been recently conducted on heat-pump LDAC systems, no information is available in the scientific literature about how to design, size, and operate these systems to optimize energy efficiency. A novel thermodynamic analysis for heat-pump LDAC systems is developed and presented in this paper. The thermodynamic analysis is aimed to guide engineers and researchers to identify optimal operating points for the design, sizing, and operation of heat-pump LDAC systems. This thermodynamic analysis reveals a new fundamental capacity matching index for heat-pump LDAC systems that optimizes energy efficiency (increasing COP by 50%). The proposed thermodynamic analysis is demonstrated in this study on a heat-pump membrane LDAC system, which uses two liquid-to-air membrane energy exchangers (LAMEEs) as the dehumidifier and regenerator.
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.
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