Second Law Analysis of an Electrochemical Ammonia Production Cell for Hydrogen Storage and Transport
Bibliographic record
Abstract
Abstract This article presents a second law analysis of a lithium-mediated electrochemical ammonia production cell with internal thermodynamic irreversibilities attributed to ohmic losses and activation energy. A Tafel analysis is first applied to potentiostatic data from past experimental studies to determine relevant electrochemical parameters of the cell. The predictive thermodynamic model provides an entropy-based perspective to quantify and minimize irreversibilities of the electrochemical cell thereby delineating the optimal regions of operation and improving its overall energy efficiency. The thermodynamic analysis based on the second law is then applied to a lithium-mediated electrochemical ammonia production cell with a high Faradaic efficiency. A formulation for the entropy generation of the cell is developed and calculated across the separate overpotential components attributed to the ohmic losses and the kinetic activation energy barriers of the cell. By considering these overpotential contributions to the overall entropy generation of the cell, the study provides unique insight into the inherent inefficiencies in lithium-mediated electrochemical systems and presents alternative pathways to reduce and quantify irreversible losses. The paper advances the theoretical understanding of electrochemical systems and provides a useful tool for assessing and improving the performance of lithium-mediated electrochemical ammonia production cells with ohmic losses and activation energy barriers.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".