Thermo-economic analysis of solar humidification-dehumidificationdesalination system with subsurface condenser
Why this work is in the frame
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Bibliographic record
Abstract
The solar humidification-dehumidification (HDH) desalination system with a subsurface condenser is a promising renewable energy-based desalination system to provide a sustainable water supply.In this study, the computational model of the solar HDH desalination system with the subsurface condenser is formulated based on thermodynamic analysis and the conservation of mass and energy.The developed model is used to evaluate the thermo-economic performance of the solar HDH desalination system with the subsurface condenser.For this purpose, the long-term performance of open-loop and closed-loop configurations of the system is evaluated.Moreover, to use the desalination system in remote areas facing a lack of electricity, photovoltaic cells are designed to supply the necessary electricity and are also included in the economic analysis.It is demonstrated that the average daily water yield and Gained Output Ratio (GOR) of the closed-loop system are 70% higher than the open-loop system.In addition, the cost of fresh water production in the closed-loop system is about 0.037 US $/lit which is 41% less than the cost of water production in the openloop system.With the addition of photovoltaic cells, the cost of fresh water production in the closed-loop system increases by 44% and reaches 0.054 US $/lit which is 41% less than the cost of water production in the open-loop system with photovoltaic cells.Therefore, according to the thermo-economic analysis, it is recommended that the solar HDH desalination system with the subsurface condenser be designed as a closed cycle.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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 | 0.001 |
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