An enhanced exergoenvironmental assessment of an integrated hydrogen generating system
Bibliographic record
Abstract
This study concerns a novel integrated three-compartment electrochemical reactor, developed in a lab environment. The reactor uses an electrolytic cation exchange method to capture considerable quantities of carbon dioxide from ocean water, in the forms of bicarbonate and carbonate, while concurrently producing hydrogen gas and capturing carbon dioxide for potential hydrocarbon synthesis. This study focuses on the performance and environmental impact of a novel E-CEM reactor system (Electrochemical Continuous Electrodeionization) under varying operational conditions such as such as energy and exergy efficiencies, exergy destruction rates, the exergoenvironmental factor, energetic destruction ratio, energetic sustainability index, entropy generation ratio, entropic environmental factor, sustainability, and irreversibility under different temperatures between 10°C to 90°C and pressures between 100 kPa to 1000 kPa. Thermodynamic assessments using the Engineering Equation Solver offer quantitative evaluations of system performance, while exergoenvironmental analysis provides an advanced approach that combines exergy analysis with environmental impact assessment to evaluate both the performance and environmental sustainability of energy systems. Exergy destruction ratio value of the reactor is 0.9 at 100 kPa and rises to 1.3 at 1000 kPa, showing increased exergy destruction, particularly at higher pressures. The E-CEM reactor achieves energy and exergy efficiencies of 7% and 9%, respectively. • This study focuses on the performance and environmental impact of a novel E-CEM reactor system (Electrochemical Continuous Electrodeionization) under varying operational conditions such as such as energy and exergy efficiencies, exergy destruction rates, the exergoenvironmental factor, energetic destruction ratio, energetic sustainability index, entropy generation ratio, entropic environmental factor, sustainability, and irreversibility under different temperatures between 10°C to 90°C and pressures between 100 kPa to 1000 kPa. • The system is tested, modeled, and analyzed in depth by using EES. • Exergy destruction ratio value of the reactor is 0.9 at 100 kPa and rises to 1.3 at 1000 kPa, showing increased exergy destruction.
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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) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".