Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2021Time- and component-resolved energy system model of an electric steel mill10citations

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Chart of shared publication
Kienberger, Thomas
1 / 5 shared
Dock, Johannes
1 / 3 shared
Janz, Daniel
1 / 1 shared
Weiss, Jakob
1 / 1 shared
Chart of publication period
2021

Co-Authors (by relevance)

  • Kienberger, Thomas
  • Dock, Johannes
  • Janz, Daniel
  • Weiss, Jakob
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article

Time- and component-resolved energy system model of an electric steel mill

  • Kienberger, Thomas
  • Dock, Johannes
  • Janz, Daniel
  • Weiss, Jakob
  • Marschnig, Aaron
Abstract

Steel production is a highly energy- and emission-intensive process. Compared to the production via the integrated route, the melting of recycled steel scrap and directly reduced iron in an electric arc furnace operated on green power constitutes a way to reduce energy consumption and CO2-emissions. However, there is still potential to reduce energy consumption and CO2-emissions in electric arc furnace steel production by introducing new sub-processes, optimal operational design, and integration of renewable energy sources. For complex industrial processes, this potential can only be determined using models of the entire system. The batch operation, changing process parameters, and strongly fluctuating energy consumption require a holistic, temporally, and technologically resolved model. Within the scope of this paper, we describe an energy system model of an electric arc furnace steel mill. It allows assessing the optimal implementation of novel technologies and system integration of renewable energy sources using a reduced set of input parameters. The modular design facilitates the extension of the model, and the option of specifying several input parameters enables the model to be adopted for other electric steel mills.

Topics
  • impedance spectroscopy
  • steel
  • iron