Herausforderungen und Nutzen des systematischen Testens numerischer Berechnungswerkzeuge/Challenges and Benefits by the Systematic Testing of Numerical Based Simulation Models

Konstruktion ◽  
2015 ◽  
Vol 67 (06) ◽  
pp. 86-90
Author(s):  
J. Langenbach ◽  
N. Nagler ◽  
N. Müller ◽  
A. Lohrengel
Keyword(s):  
Simulation Models ◽  
Systematic Testing

Inhalt: In Berechnungssoftware integrierte numerische Berechnungsmodelle stellen erhöhte Anforderungen an die Validierung des zugrunde liegenden Modells. Zum einen ist die Unkenntnis des späteren Anwenders zu berücksichtigen, zum anderen ist sicherzustellen, dass das Modell innerhalb der Grenzen verlässliche Ergebnisse liefert. Der Artikel zeigt die Herausforderungen und den Nutzen des systematischen Testens numerischer Modelle für dessen Entwickler auf und verdeutlicht den um Tests erweiterten Entwicklungsprozess.

scholarly journals CPES Testing with mosaik: Co-Simulation Planning, Execution and Analysis

2019 ◽  
Vol 9 (5) ◽  
pp. 923 ◽  
Author(s):  
Cornelius Steinbrink ◽  
Marita Blank-Babazadeh ◽  
André El-Ama ◽  
Stefanie Holly ◽  
Bengt Lüers ◽  
...  
Keyword(s):  
New Technologies ◽  
Simulation Models ◽  
Complex Nature ◽  
Multi Agent Systems ◽  
Dynamic Interactions ◽  
Test Environment ◽  
Systematic Testing ◽  
Physical Energy ◽  
Power Plant Control ◽  
Multi Agent

The complex nature of cyber-physical energy systems (CPES) makes systematic testing of new technologies for these setups challenging. Co-simulation has been identified as an efficient and flexible test approach that allows consideration of interdisciplinary dynamic interactions. However, basic coupling of simulation models alone fails to account for many of the challenges of simulation-based multi-domain testing such as expert collaboration in test planning. This paper illustrates an extended CPES test environment based on the co-simulation framework mosaik. The environment contains capabilities for simulation planning, uncertainty quantification and the development of multi-agent systems. An application case involving virtual power plant control is used to demonstrate the platform’s features. Future extensibility of the highly modular test environment is outlined.

Correlation of Pore Structure and Permeability by SEM-Image Analysis

1990 ◽  
Vol 48 (1) ◽  
pp. 428-429
Author(s):  
C. A. Callender ◽  
Wm. C. Dawson ◽  
J. J. Funk
Keyword(s):  
Image Analysis ◽  
Pore Structure ◽  
Imaging System ◽  
Pore Space ◽  
Simulation Models ◽  
Image Analyzer ◽  
Imaging Data ◽  
Sem Images ◽  
Thin Sections ◽  
Rock Types

The geometric structure of pore space in some carbonate rocks can be correlated with petrophysical measurements by quantitatively analyzing binaries generated from SEM images. Reservoirs with similar porosities can have markedly different permeabilities. Image analysis identifies which characteristics of a rock are responsible for the permeability differences. Imaging data can explain unusual fluid flow patterns which, in turn, can improve production simulation models.Analytical SchemeOur sample suite consists of 30 Middle East carbonates having porosities ranging from 21 to 28% and permeabilities from 92 to 2153 md. Engineering tests reveal the lack of a consistent (predictable) relationship between porosity and permeability (Fig. 1). Finely polished thin sections were studied petrographically to determine rock texture. The studied thin sections represent four petrographically distinct carbonate rock types ranging from compacted, poorly-sorted, dolomitized, intraclastic grainstones to well-sorted, foraminiferal,ooid, peloidal grainstones. The samples were analyzed for pore structure by a Tracor Northern 5500 IPP 5B/80 image analyzer and a 80386 microprocessor-based imaging system. Between 30 and 50 SEM-generated backscattered electron images (frames) were collected per thin section. Binaries were created from the gray level that represents the pore space. Calculated values were averaged and the data analyzed to determine which geological pore structure characteristics actually affect permeability.

Analysis and Simulation Methods of the Mechanisms for the Innovational Development

2019 ◽  
pp. 16-33
Author(s):  
Marta K. Isaeva
Keyword(s):  
Production Systems ◽  
Technological Development ◽  
Computer Experiment ◽  
Simulation Models ◽  
Construction Simulation ◽  
Technological Structure ◽  
Research Sector ◽  
Practical Trial ◽  
Construction Model ◽  
Computation Analysis

The paper dedicates in commemoration of K.A. Bagrinovsky, known scientist, doctor of economic sciences, professor. His thesis was theoretic problems of mathematical modeling and operation of economy. His works in the operations research, the methods making decision, the simulation were received in scientific world. The analysis and the modeling of the mechanisms for scientific and technological development for the production systems of different level in economic hierarchic both centrally controlled economy and making mechanism were conduced by Bagrinovsky in CEMI RAS. The paper presents the investigations (2001–2015) of the analysis and the simulation of the different mechanisms of the innovational activity. It also discusses the methods of the development the complex of the simulation models. In a sense simulation modeling is the science and the art as the selection of the salient parameters for the construction model, intake simplification, the computer experiment and the making decision based on scarcity of accuracy models rest on the heuristic power of men: the practical trial, the intelligence and the intuition. K.A. Bagrinovsky introduced the considerable endowment in the development of this direction for economic and mathematical investigation.The principal object was to show that the relationship between the innovational policy and the technological structure, scientific research sector and the introducing of the progressive production and the organizational structure is obtainable by the models. The character of these relationships may be to use in control of the parameters for the modernization economic. The construction simulation models and the experimental computation analysis were presented the investigations the different mechanisms of the innovational development ant the variants of the estimation have been accomplished on the modeling level by the computer experiment.

Simplification of Simulation Models for Air-Conditioning Controlling System

2017 ◽  
Vol 137 (8) ◽  
pp. 1001-1008
Author(s):  
Tadayoshi Kosaka ◽  
Kazuhiko Koyanagi ◽  
Yasutaka Satake ◽  
Isao Kobayashi ◽  
Nobuhiro Matsudaira ◽  
...  
Keyword(s):  
Air Conditioning ◽  
Simulation Models ◽  
Controlling System
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