Proof-of-Concept of the Integrated Methanol Reforming-Desalination Fuel Cell System: Effect of CO<sub>2</sub> and CO on Cell’s Performance
Bibliographic record
Abstract
Desalination fuel cell (DFC) is an electrochemical cell driven by hydrogen–oxygen redox reactions to simultaneously generate electricity and desalted water. Methanol reforming (MR), although being a relatively well-established method for H 2 generation, produces CO 2 and small amounts of CO. While the detrimental effect of CO on proton exchange membrane fuel cells has been extensively studied, the effect of CO on DFC performance has not yet been investigated. In this study, we introduce a novel integrated MR–DFC system and investigate its performance characteristics experimentally. Specifically, we examined the system’s response to the presence of CO 2 and CO in the MR outlet stream that is directly fed to the DFC inlet. Our findings reveal a decrease in the open-circuit voltage (OCV) and limiting current when utilizing the MR outlet as a feed, although the ohmic region remains intact and the desalination process is not affected significantly. Rotating disk electrode (RDE) tests were conducted to validate the observed reduction in the OCV. A stability test was conducted for 25 h, revealing that feeding the MR outlet to DFC initially provides a similar discharge current to that with pure H 2 feed, followed by certain degradation that was attributed to CO poisoning. Our study provides valuable insights into the performance of the integrated MR-DFC unit, advancing the development of this sustainable water-power system.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".