Modeling of Electric Double-Layers Including Chemical Reaction Effects

Paz‐Garcia, Juan Manuel; Johannesson, Björn; Ottosen, Lisbeth M.; Ribeiro, Alexandra B.; Rodríguez‐Maroto, José Miguel

doi:10.1016/j.electacta.2014.10.056

Cited by 27 publications

(15 citation statements)

References 25 publications

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“…This means that there was an increase in the magnitude of the total charge carried by the Al and Ca ions in these mixtures (including H + ions from the solution). The phenomenon of charge inversion has not been yet sufficiently clarified from the physical-chemical point of view [33]. Charge inversion is schematically illustrated below Fig.…”

Section: Results Of the Measurements Of Zeta Potentialmentioning

confidence: 99%

CaO&CaSO4 and CaO&Al2(SO4)3 as Pectin Precipitants–Model of Overlapping Diffuse Layers

Kuljanin

Filipović

Nićetin

et al. 2018

Period. Polytech. Chem. Eng.

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This work is concerned with the theoretical basis of novel sugar beet juice purification method using binary systems CaO&CaSO4 and CaO&Al2(SO4)3. The Gouy–Chapman–Stern (GCS) model of overlapping of diffuse layers of EDLs on pectin surface and that on Ca2+ and Al3+ ions, theoretically explains this method. The change of the zeta potential was used to quantitatively indicate overlapping of diffuse layers. For the experiment two model solutions of pectin (0.1 % w/w) were prepared, while the concentrations of CaO&CaSO4 and CaO&Al2(SO4)3 in the range of 50–500 g dm-3 were used. The greater decrease in the absolute value of zeta potential indicated greater overlapping of diffuse layers between pectin particles and Ca2+ and Al3+ ions and faster coagulation of pectin. The overlapping degree increased with increased concentration of these binary systems. Pectin with a greater surface charge and multivalent Al3+ from CaO&Al2(SO4), exerted a greater impact on the zeta potential. Optimal quantities of the applied binary mixtures were as follows: 256–640 mg g-1 pectin. This is much lower than CaO commonly used in the conventional process of sugar beet juice purification (about 9 g g-1 pectin).

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Section: Results Of the Measurements Of Zeta Potentialmentioning

confidence: 99%

CaO&CaSO4 and CaO&Al2(SO4)3 as Pectin Precipitants–Model of Overlapping Diffuse Layers

Kuljanin

Filipović

Nićetin

et al. 2018

Period. Polytech. Chem. Eng.

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“…The approach incorporates the influence of the electrical double layer and electrochemical reactions on each other. [31][32][33] This aspect of the model makes it increasingly useful when trying to describe complex electrochemical systems wherein the interplay of species interactions causes deviations from the standard state Nernst potential. This is reflected, for example, in the instability of homogenized LiS models, wherein small changes to the initial conditions can stop the model from functioning.…”

Section: Resultsmentioning

confidence: 99%

A Non-Electroneutral Model for Complex Reaction-Diffusion Systems Incorporating Species Interactions

Minton

Purkayastha

Lue³

2017

J. Electrochem. Soc.

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In this study we develop a general framework for describing reaction-diffusion processes in a multi-component electrolyte in which multiple reactions of different types may occur. Our motivation for this is the need to understand how the interactions between species and processes occurring in a complex electrochemical system. We use the framework to develop a modified Poisson-Nernst-Planck model which accounts for the excluded volume interaction (EVI) and incorporates both electrochemical and chemical reactions. Using this model, we investigate how the EVI influences the reactions and how the reactions influence each other in the contexts of the equilibrium state of a system and of a simple electrochemical device under load. Complex behavior quickly emerges even in relatively simple systems, and deviations from the predictions of ideal solution theory, together with how they may influence the behavior of more complex system, are discussed. Electrochemical energy storage devices play a crucial role in the modern world, having enabled the development of a wide range of portable and mobile devices in a vast range of applications. They also have significant future potential in facilitating a shift away from environmentally damaging fossil fuels as our primary source of energy, through the electrification of transport and as load balancing for the variability suffered by most forms of renewable energy. However, modeling these systems can be challenging because the overall behavior is typically the emergent result of a large number of processes and interactions at the microscopic scale, making linking the microscopic behavior to the macroscopic performance complicated. Furthermore, individual processes may themselves be complex, so simplifications have to be made if we wish to understand the device behavior at macroscopic length and time-scales.By way of example, the particular system in which we are interested is that of a lithium-sulfur (LiS) cell, a promising post-lithium-ion technology with both an expected practical energy density of 500-600 Wh kg −1 and a lower raw materials cost. 1,2 The overall discharge process of a LiS cell involves the reduction of solid phase S 8 to solid phase Li 2 S, according to the reactionWhile the overall process is bound by the dissolution of S 8 and the precipitation of Li 2 S, the intermediate steps occur between species in the solvent/electrolyte phase, involving the electrodissolution of lithium from the anode and a range of electrochemical and chemical reactions involving a number of ionic sulfur species at the cathode. While these types of process are not uncommon in traditional (i.e. non-intercalation) battery chemistries, the sheer number of species and intermediate elementary reaction steps involved, together with the integral role played by chemical reaction processes, make understanding the LiS mechanism complex. 3The common approach to modeling LiS cells is similar to that taken for many electrochemical devices, with the reduction of the cell structure to a one-dimension...

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“…Lack of Fit (LOF) is a criterion for assessment of appropriate model in experimental results. The insignificant LOF values (p > F greater than 0.1) indicates the appropriate model for the experimental results [8]. Table 4 shows the LOF value for the equation model of density response was obtained 0.64 representing an appropriate model for density response.…”

Section: Adequate Precisionmentioning

confidence: 95%

“…ANOVA was used to know not only of each independent variable effect, the interaction effect between independent variable to response, but also an assessment of the chosen model. The significant of the equation model is attributed if the value of p > F is less than 0.05 and the F value is greater than one [8]. While the appropriate equation model is assessed from the value of R 2 , adjusted-R 2 , predicted-R 2 and adequate precision where the small difference (…”

Section: Table 2 Factorial Design 22 With Six Replicationsmentioning

confidence: 99%

“…too large OHion concentrations in alkali-silica reactions can induce the formation of an electric double layer. This double layer can be formed from the interaction between electrolyte solutions containing OH-ions and the surface of a solid such as ultrasonic wave transmitter dipped in solution [8]. The existence of this electric double layer can prevent the reaction between bamboo leaf silica which not yet reacted with alkaline ions.…”

Section: 25mentioning

confidence: 99%

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Statistical Approach for Water Glass Precursor Preparation from Bamboo Leaf Silica

et al. 2019

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The bamboo leaf consists of high silica content. In this study, the bamboo silica was utilized as water glass. Water glass can also be used as eco-friendly precursors for the preparation of silica aerogel. The extraction process of silica from bamboo leaf have been carried out through acid leaching and combustion process at 750°C based on thermal gravimetry analysis. This paper is aimed to assess the effect of two types of alkali hydroxide and concentrations producing water glass of bamboo leaf silica. The result was analyzed by using a 22-factorial design with six replications. The alkali hydroxide types were sodium hydroxide and potassium hydroxide with a concentration of 4 M and 6 M, respectively. The study was executed in several steps, i.e. pre-treatment of bamboo leaf, leaching process, combustion, purification of bamboo leaf silica and synthesis of water glass. The optimum condition of water glass products was obtained at silica concentration of 41.08 ppm and density of 1.23 g/L for potassium hydroxide, while at 40.15 ppm and 1.30 g/L for sodium hydroxide. ANOVA analysis resulted in a significant effect for type of hydroxide and concentration releasing model for silica concentration response. This study also characterized the silica structure and composition by instrumentation analysis for silica solid obtained from optimum water glass condition with potassium hydroxide. It can be denoted the physical behavior of silica solid from water glass by potassium hydroxide did not differ from previous research of water glass by sodium hydroxide.

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Modeling of Electric Double-Layers Including Chemical Reaction Effects

Cited by 27 publications

References 25 publications

CaO&CaSO4 and CaO&Al2(SO4)3 as Pectin Precipitants–Model of Overlapping Diffuse Layers

CaO&CaSO4 and CaO&Al2(SO4)3 as Pectin Precipitants–Model of Overlapping Diffuse Layers

A Non-Electroneutral Model for Complex Reaction-Diffusion Systems Incorporating Species Interactions

Statistical Approach for Water Glass Precursor Preparation from Bamboo Leaf Silica

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