Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Fraunhofer Institute for Algorithms and Scientific Computing SCAI

Network Evaluation Technologies

 

© Fotolia – tomas

Software

We offer software solutions for

  • the exploration, statistical analysis and robust multiobjective optimization,
  • the simulation, analysis and optimization of networks.
More Info

Offers

For many applications in natural sciences and engineering, we offer classical parameter optimization, investigations of sensitivities and robustness as well as solutions for robust multiobjective parameter optimizations.

More Info

Projects

Aproaches to tackle the challenges which arise in the context of the energy turnaround.

More Info

The work of the department Network Evaluation Technologies concentrates on two reserach fields,

  • network analysis, simulation, optimization and graph mining, for instance for electrical circuits, gas transport, cooling circuits, oil and energy,
  • robust design for statistical analysis and optimization of parameter-dependent problems, particularly in the areas of networks, production processes and industrial products.

Cooperation partners and customers stem from different areas such as oil and gas, chemistry, microelectronics, automotive and engineering industry.

We develop mathematical methods and software products. Our range of services includes studies, licenses of our products, tailored software solutions as well as integration of our software modules into other software products.

© MEV Agency UG – Peter Horn

Fields of research

 

  • Network simulation, analysis and optimization
  • Parameter studies und optimization
  • Robust design

News

 

  • MYNTS v.2.8 (32bit and 64bit) incl. Net 3D Viewer released!
  • DesParO v.2.4 released!
Expand all Close all

Efficient transport networks for gas, electricity and water are of paramount importance in industrialized countries. To enable and expand the use of renewable energies, the German government supports the modernization and construction of thousands of kilometers of new power networks.

The new simulation software MYNTS (Multiphysical Network Simulator) helps to plan and operate such complex networks. For example, MYNTS can be used to calculate how temperature fluctuations change the flow rates and how the failure of sub-networks affects the other network components.

The software is also interesting with regard to SmartGrids. The intelligent networking and control of power generators, storage facilities, consumers and network resources is one of the greatest economic and environmental challenges. Local solutions can also make important contributions: Improved time management and savings, especially for energy-intensive companies, could cut consumption peaks and bring electricity and gas consumption into line with supply. However, this increases complexity, costs and susceptibility.

Applications arise from a variety of areas including but not limited to natural sciences, engineering, economical or social questions. Some examples:

  • networks: modeling, simulation, analysis / optimization in such areas as circuits, gas, water, energy, oil etc.
  • analysis of data stemming from measurements for controlling gas or water transport networks etc.
  • analysis and optimization of parameter-dependent industrial production processes or products taking parameter variations and tolerances into account (parameters describing the process, material properties, geometry etc.)
  • condition monitoring of machines or process monitoring of production processes
  • process monitoring for handling scanned documents and their OCR in the context of data management systems (DMS)
  • network analysis / control for crisis management

Methods from different areas have to be considered and further developed:

  • data mining, machine learning, metamodeling: the department develops and implements, for instance, interpolation-based data models (response surfaces) and statistical methods (DesParO).
  • robust multiobjective optimization: the department develops and implements efficient methods to be used mainly for metamodels (DesParO).
  • statistical analysis and robust optimization of parameter-dependent chains of (simulation) processes (PRO-CHAIN).
  • networks and graphs: the department develops and implements a framework for network simulation (MYNTS for electrical circuits, gas transport etc.) as well as software for analyzing, manipulating, matching of networks and graphs (net'O'graph).

In order to allow for large-scale data analysis, algorithms as well as data transport and storage methods have to get the most out of modern system architectures. Depending on the application at hand, technical computing and / or cloud computing play a decisive role.

The following flyers and articles are available:

Products:


Projects:

Simulation and Optimization of Data Center Energy Flows


Energy management (DIN EN ISO 50001) and optimization based on online process mining


Hierarchical Simulation of Nanoelectronic Systems for Control of Process Variations


Further Material: