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Record W2237691076 · doi:10.1149/ma2015-02/1/4

Specific Electrical Conductivity in Molten Potassium Dihydrogen Phosphate KH<sub>2</sub>PO<sub>4</sub> Electrolyte at ~300 °C

2015· article· en· W2237691076 on OpenAlexaboutno aff
Aleksey Nikiforov, Rolf W. Berg, Niels J. Bjerrum

Bibliographic record

VenueECS Meeting Abstracts · 2015
Typearticle
Languageen
FieldMaterials Science
TopicSolid-state spectroscopy and crystallography
Canadian institutionsnot available
Fundersnot available
KeywordsElectrolyteConductivityElectrolysisChemistryAnalytical Chemistry (journal)PotassiumMolten saltMelting pointElectrical resistivity and conductivityInorganic chemistryPhysical chemistryElectrodeChromatography

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.018
GPT teacher head0.241
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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