Specific Electrical Conductivity in Molten Potassium Dihydrogen Phosphate KH<sub>2</sub>PO<sub>4</sub> Electrolyte at ~300 °C
Bibliographic record
Abstract
The conductivity of puremolten KH2PO4 salt and two mixtures with more and less water (in the KH2PO4–H2O and KH2PO4–KPO3 systems) were measured at temperatures of 265–320 °C and under their own water vapor pressures. Molten KH2PO4 is a promising electrolyte for an intermediate temperature pressurized water electrolyzer because of its high conductivity of ~0.30 Ohm-1 cm-1 at 300 °C. The conductivity data are given as polynomial functions of temperature and composition. The KH2PO4 (KDP) salt is one of the most used nonlinear crystals for laser radiation conversion required in laser fusion systems [1], and recently also the application of the melt as the electrolyte for high temperature water electrolysis was suggested [2]. The purpose of the present work was to investigate the level of specific electrical conductivity of the melt, of which there was no previous data available. Also it was an objective to determine analytical expressions for the conductivity versus temperature and water content. Such information is essential in the optimization of the high temperature water electrolysis application of the electrolyte. Upon heating, the salt melts and becomes a useful electrolyte [2]. During the melting process, the following reaction (1) is known to take place: 2 KH2PO4 <--> K2H2P2O7 + H2O (1) whereby the melt loses water during evaporation and the melting point drops considerably, from the true value ~280 °C perhaps down to ~262 °C. In an enclosed ampoule, the water vapor pressure over the molten salt is considerable, around 8 bars at 300 ºC, according to our recent results, obtained by Raman spectroscopy [3]. The obtained data are reproduced in Fig. 1 as points along 3 curves, obtained by plotting the logarithm of the conductivity σ (ordinate scale) as a function of reciprocal absolute Kelvin temperature T (against 1000/T): Log10σ = A - B x 1000/T (2) As expected, the curves are approximately linear; i. e. the σ data can be reproduced by (2). The conductivity (2) decreases with addition of KPO3 (or the loss of water in open cells) and increases with temperature in the range between ~180 and ~300 °C. The studied compositions and temperature ranges were limited by the crystallization points and the vapor pressure (note the risk of explosion) that depended markedly on the temperature [3]. During standing, the viscosity and surface tension increased significantly, judging from visual observations when shaking the melts (dissolution of SiO2?). [1] W. Cai and A. Katrusiak, “Structure of high-pressure phase KH2PO4”, Dalton Trans., vol. 42, pp. 863-866, 2013. [2] C. B. Prag, “Intermediate Temperature Steam Electrolysis with Phosphate-Based Electrolytes.” Ph.D. thesis, supervisors: N. J. Bjerrum, E. Christensen, Li Qingfeng, I. M. Petrushina, Kgs. Lyngby: DTU Energy, 1- 154, 2014. [3] R. W. Berg, A.V. Nikiforov, I. M. Petrushina and N. J.Bjerrum, “Determination of water vapor pressure over and demonstration of water electrolysis in a molten potassium dihydrogen phosphate KH2PO4 at ~300 °C by means of Raman spectroscopy”, EEST2015, extended abstract, 16-22 August 2015, Vancouver, Canada. Fig. 1. Conductivity results as explained in the text. Insert shows cell of fused quartz glass, sealed under vacuum. (A) Pressure equilibration tube, (B) Cell compartment, (C) Capillary tube for conduction and (D) Electrode feed throughs adapted from standard halogen lamps. Figure 1
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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 | 0.001 |
| 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) | 0.001 | 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".