Monosized sphere packing approach in the nanoporous structure modeling

Burtseva, Larysa; Pestryakov, Alexey; Petranovskii, Vitalii

doi:10.1109/ifost.2012.6357573

Cited by 4 publications

(3 citation statements)

References 35 publications

(55 reference statements)

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“…Syroezhkin (Syroezhin 1980); subsequently it was further developed by his followers (Stojanovich Dragica 1986, Saarepera 1987, Eissner 1988. Examples of examination of normative (optimal) ratios of indicator evolution measures can also be found in the present-day studies and references (Zakharchenko 1993, Pogostinsky 1999, Zavgorodnyaya 1999, Zhambekova 2000, Ivleva 2008, Burtseva 2009, 2010, 2012, Svetunkov et al 2012, Burtseva and Chausov 2016. This approach was applied by the authors of the present study for assessment of competitiveness of an enterprise.…”

Section: Factors Of Competitiveness Of An Energy Generating Company and Their Measurement Indicatorsmentioning

confidence: 96%

Dynamic statistical assessment of the competitiveness of an energy generating company (as exemplified by Rosenergoatom Concern JSC)

Burtseva¹,

Khvorostyannikov²,

Kuznetsova³

2021

NUCET

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The depletion of traditional organic energy sources and aggravated environmental problems are the reasons why the level of energy efficiency is an important factor in the competitiveness of the national economy. Russia ranks third in the world in terms of total energy consumption and its economy is distinguished by a high level of energy intensity (amount of energy per unit of GDP). In 2019, this figure was 9.62 tons of oil equivalent (toe) per 1 million rubles, which is 40% higher than the world average. The low energy efficiency of the Russian economy is a widely recognized problem. A special decree of the Government of Russia in 2018 sets the task of increasing the level of energy efficiency of the Russian economy by 23% by 2030. One of the ways to solve this problem is the development of nuclear energy, and increasing the competitiveness of nuclear energy is one of the key issues for the national economy. In this connection, solving the problem of assessing the competitiveness of the nuclear industry and its leading companies occupies a key place among the practical scientific problems, the solution of which is facilitated by the results presented by the authors in this article. Rosenergoatom Concern JSC is the leading energy generating company in the Russian nuclear industry. The results of the study of the competitiveness of Rosenergoatom Concern JSC were obtained on the basis of the authors’ methodology for assessing the competitiveness of an energy generating company. The novelty of the presented methodology lies in the developed normative and evaluative model and the coefficients of competitiveness of an energy generating company. The advantages of the authors’ model are that it allows (1) obtaining integral assessments of the competitiveness of a power generating company at short time intervals for a large number of indicators and (2) quantitatively measuring the effects of different factors on the competitiveness of a power generating company, provided that the grouping of indicators of competitiveness of a power generating company is justified by influencing factors. The two factors considered by the authors were: the general market factor and the industry factor. According to the results of the study, it was found that Rosenergoatom Concern JSC demonstrates positive increase of the competitiveness indicator mainly due to the industry factor. With this regard, it was concluded that, within the framework of state policy, it is advisable to strengthen support for the Russian nuclear industry by creating additional conditions and opportunities for its energy generating companies on the domestic energy market.

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Section: Factors Of Competitiveness Of An Energy Generating Company and Their Measurement Indicatorsmentioning

confidence: 96%

Dynamic statistical assessment of the competitiveness of an energy generating company (as exemplified by Rosenergoatom Concern JSC)

Burtseva¹,

Khvorostyannikov²,

Kuznetsova³

2021

NUCET

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“…The interest of the authors of this paper falls into the use of these methods for modeling structures containing mono-and multi-sized spheres, which represent the atoms and molecules of a material in this case. The special interest of the authors for the tessellation approach can be explained by the reason that it does not use the gravitational field effect to model dense packings, in contrast to numerical modeling and mathematical programming methods, which are strictly based on the gravitation [6].…”

Section: Introductionmentioning

confidence: 99%

Tessellation Methods for Modeling the Material Structure

Burtseva

Werner

Valdes

et al. 2015

AMM

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Tessellation methods are a relatively new approach for modeling the structure of a material. In this paper, such structures are interpreted as sphere packing models, where molecules and atoms represent spheres of equal or different size. Based on the review of the literature, it is shown that the tessellation approach is a powerful method for modeling and simulating such structures with desirable metric and topological properties. Two basic tessellation methods are considered more in detail: the Delaunay tessellation and the Voronoi diagram in Laguerre geometry, as well as some of their generalizations. The principal concepts of both tessellation methods are briefly explained for a better understanding of the application details. It is noted that packing models created by tessellation methods are not based on the use of the gravity camp effect, which is a difference to numerical and mathematic programming modeling approaches. Therefore, tessellation methods permit the development of structures without taking into account the gravitation, what is important for modeling the structure on the microscopic and nano levels, where the influence of the gravitation is studied insufficiently. A review of the related literature is given, focusing on the details of the tessellation method and the particle size distribution.

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“…Random packings of spheres have many reflections in materials science. As an example, the filling of porous media in nanotechnology is modeled as packed arrangements of hard spherical atoms [1]. They are studied experimentally, theoretically and by computer modelling, i.e.…”

Section: Introductionmentioning

confidence: 99%

Some Aspects of Computer Approaches to Simulation of Bimodal Sphere Packing in Material Engineering

Burtseva¹,

Pestryakov

Romero

et al. 2014

AMR

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This paper summarize idealized theoretical studies of bicomponent particle packing parameters, affecting the phase and pore structure of obtained materials. Such a kind of analysis can be used both in theoretical consideration of material engineering problems and in chemical industry. The effects of key variables on the relationship between packing fraction and particle size were re-examined for general application. Potential applications of these results include synthesis of nanopaterials, adsorbents, catalyst carriers and packing for chromatographic columns. Directions for future research are suggested.

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Monosized sphere packing approach in the nanoporous structure modeling

Cited by 4 publications

References 35 publications

Dynamic statistical assessment of the competitiveness of an energy generating company (as exemplified by Rosenergoatom Concern JSC)

Dynamic statistical assessment of the competitiveness of an energy generating company (as exemplified by Rosenergoatom Concern JSC)

Tessellation Methods for Modeling the Material Structure

Some Aspects of Computer Approaches to Simulation of Bimodal Sphere Packing in Material Engineering

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