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33In-memory data grid-based analysis of multi-energy system vulnerability
A. V. Edelev1, N. M. Beresneva1, A. G. Feoktistov 2, S. A. Gorsky2, M. A. Marchenko3,4
1Melentiev Energy Systems Institute SB RAS
2Matrosov Institute for System Dynamics and Control Theory SB RAS
3Institute of Computational Mathematics and Mathematical Geophysics SB RAS
4Novosibirsk State University
Email: flower@isem.irk.ru
DOI 10.24412/cl-35065-2021-1-01-68
The vulnerability assessment of multi-energy systems (MES) [1] is based on modeling their functioning
under disturbances of various classes [2]. A MES multi-period model can be constructed by combining the
models of particular energy systems using the system interdependencies. Disturbances are described as sce-
narios of changes of the structural and functional parts of the system models. It should be noted that scenarios
of natural disasters tend to be formulated after careful meteorological data series analysis [3].
The MES vulnerability analysis at different levels of the territorial hierarchy is implemented in the form of
separate scientific application packages that reflect the peculiarities of energy modeling at these levels. A
common feature of these packages is the use of the in-memory data grid technology to process the disturb-
ance consequences data [4]. The article compares the performance of the Apache Ignite in-memory data grid
for various configurations of a distributed computing environment in computational experiments related to
the identification of critical elements. The determination of critical elements is a type of the MES vulnerability
analysis [2].
Implementation of an approach to modeling MES under disturbances taking into account the analysis of meteorolog-
ical data series is supported by the Russian Foundation of Basic Research and Government of Irkutsk Region, project
No 20-47-380002.
References
1. Mancarella P. MES (multi-energy systems): An overview of concepts and evaluation models. Energy, 2014, 65,
pp. 1-17.
2. Edelev A., Feoktistov A., Bychkov I., Basharina O. Application of high-performance computing for determining
critical components of an energy system. Proceedings of the International Conference on ENERGY-21: Sustainable
Development & Smart Management, E3S Web of Conferences, 2020, V. 209, p. 06004.
3. Karamov D. N. Formation of initial meteorological arrays with the use of long-term series FM 12 synop and METAR
in systems energy studies. Bull Tomsk Polytech Univ Geo Assets Eng, 2018, V. 329, pp. 69�88.
4. Edelev A.V., Sidorov I.A., Gorsky S.A., Feoktistov A.G. Large-scale analysis of the energy system vulnerability using
an in-memory data grid. Proceedings of the 2nd International Workshop on Information, Computation, and Control
Systems for Distributed Environments. CEUR-WS Proceedings, 2020, V. 2638, pp. 89-98.
Application of various ice accretion simulation approaches in the LOGOS software package
N. G. Galanov, A. V. Sarazov, R. N. Zhuchkov, A. S. Kozelkov
FSUE �Russian Federal Nuclear Center � All-Russian Research Institute of Experimental Physics�, Sarov, Nizhny
Novgorod Region
E-mail: NGGalanov@vniief.ru
DOI 10.24412/cl-35065-2021-1-01-69
The software package LOGOS [1�3] implements various techniques, including algorithms to model ice
accretion on aircraft. This paper presents ice accretion simulation approaches and methods implemented in
the LOGOS-Aero module of the LOGOS software package. Performance of LOGOS software components
employing Lagrangian and Eulerian multi-phase flow models is demonstrated by test simulations of some
NACA problems [4] intended for verification of the Lewice software package.
References
1. M. A. Pogosyan, E. P. Savelievskikh, R. M. Shagaliev, A. S. Kozelkov, D. Yu. Strelets, A. A. Ryabov, A. V. Kornev, Yu.
N. Deryugin, V. F. Spiridonov, K. V. Tsiberev. Application of Russian supercomputer technologies to develop the advanced
models of aviation technology // Voprosy atomnoy nauki i tekhniki. Ser. Mathematical Modeling of Physical Processes
2013. Iss. 2. P. 3-18. [In Russian].
2. Kozelkov A.S., Zhuchkov R.N., Utkina A.A., Volodchenkova K.B. Simulation of turbulent flows with higher-order
schemes on hybrid-structure grids // J. VANT, Ser. Mathematical Modeling of Physical Processes, 2014, issue 3, p. 18-31.
[In Russian].
3. Betelin V.B., Shagaliev R.M., Aksenov S.V., Belyakov I.M., Deryuguin Yu.N., Kozelkov A.S., Korchazhkin D.A., Nikitin
V.F., Sarazov A.V., Zelenskiy D.K. Mathematical simulation of hydrogen�oxygen combustion in rocket engines using
LOGOS code // Acta Astronautica 2014, v. 96, p.53�64.
4. Wright B.W., Rutkowski A. Validation Results for LEWICE 2.0, NASA/CR�1999-208690, 1999.
Comparison of MKL matrix multiplication routines for one practical example
V. S. Gladkikh, Y. L. Gurieva
Institute of Computational Mathematics and Mathematical Geophysics SB RAS
Email: gladvs_ru@mail.com
DOI 10.24412/cl-35065-2021-1-01-70
Nowadays, math libraries (MKL [3] and Netlib BLAS [1]) are used to get the best performance of applica-
tion. Extensive libraries� functionality often allows applied program to be implemented via various library pro-
cedures that have different levels of optimization. As a result decision about which routine should be used is a
non-trivial task. A roof-line model [2] can help to identify some weak points of the software and prepare re-
quired experiments that identify the optimal library procedure. Given one specific practical example, it was
shown that MKL BLAS gemm routine preferable over the similar MKL BLAS gemv procedure for the target set
of the input data.
References
1. Dongarra J.J. [� ��.]. A set of level 3 basic linear algebra subprograms // ACM Transactions on Mathematical
Software. 1990. No. 1 (16). C. 1�17.
2. Ofenbeck G. [� ��.]. Applying the roofline model // ISPASS 2014 - IEEE International Symposium on Performance
Analysis of Systems and Software. 2014. C. 76�85.
3. Intel Intel Math Kernal Library(MKL) [web]. URL: http://software.intel.com/en-us/articles/intel-math-kernel-
library-documentation.
LOGOS software package. Heat-transfer problem solving method with the account for ablation process
V. A. Glazunov, Yu. D. Seryakov, R. A. Trishin
FSUE �Russian Federal Nuclear Center � All-Russian Research Institute of Experimental Physics�, Sarov, Nizhny
Novgorod Region
�mail: staff@vniief.ru
DOI 10.24412/cl-35065-2021-1-01-71
An approach to simulate 3D heat-transfer problem with the account for the surface ablation process is re-
alized in the LOGOS Thermal Analysis product [1]. The urgency of the work comes from the need for the ade-
quate thickness definition of the low-conductivity coating of the flying vehicle during its operation.
