Time- and component-resolved energy system model of an electric steel mill
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....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-10-01
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| Series: | Cleaner Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266679082100183X |
| _version_ | 1819138306604007424 |
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| author | Johannes Dock Daniel Janz Jakob Weiss Aaron Marschnig Thomas Kienberger |
| author_facet | Johannes Dock Daniel Janz Jakob Weiss Aaron Marschnig Thomas Kienberger |
| author_sort | Johannes Dock |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T11:04:40Z |
| format | Article |
| id | doaj.art-486d4fb4b16a48dea02ec858ea11c5bc |
| institution | Directory Open Access Journal |
| issn | 2666-7908 |
| language | English |
| last_indexed | 2024-12-22T11:04:40Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cleaner Engineering and Technology |
| spelling | doaj.art-486d4fb4b16a48dea02ec858ea11c5bc2022-12-21T18:28:23ZengElsevierCleaner Engineering and Technology2666-79082021-10-014100223Time- and component-resolved energy system model of an electric steel millJohannes Dock0Daniel Janz1Jakob Weiss2Aaron Marschnig3Thomas Kienberger4Chair of Energy Network Technology, Montanuniversitaet Leoben, Franz-Josef-Straße 18, 8700, Leoben, Austria; Corresponding author.Breitenfeld Edelstahl AG, Breitenfeldstraße 22, 8662, St.Barbara-Mitterdorf, AustriaChair of Energy Network Technology, Montanuniversitaet Leoben, Franz-Josef-Straße 18, 8700, Leoben, AustriaChair of Energy Network Technology, Montanuniversitaet Leoben, Franz-Josef-Straße 18, 8700, Leoben, AustriaChair of Energy Network Technology, Montanuniversitaet Leoben, Franz-Josef-Straße 18, 8700, Leoben, AustriaSteel 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.http://www.sciencedirect.com/science/article/pii/S266679082100183XEnergy systemSteel productionElectric arc furnaceMarkov chain |
| spellingShingle | Johannes Dock Daniel Janz Jakob Weiss Aaron Marschnig Thomas Kienberger Time- and component-resolved energy system model of an electric steel mill Cleaner Engineering and Technology Energy system Steel production Electric arc furnace Markov chain |
| title | Time- and component-resolved energy system model of an electric steel mill |
| title_full | Time- and component-resolved energy system model of an electric steel mill |
| title_fullStr | Time- and component-resolved energy system model of an electric steel mill |
| title_full_unstemmed | Time- and component-resolved energy system model of an electric steel mill |
| title_short | Time- and component-resolved energy system model of an electric steel mill |
| title_sort | time and component resolved energy system model of an electric steel mill |
| topic | Energy system Steel production Electric arc furnace Markov chain |
| url | http://www.sciencedirect.com/science/article/pii/S266679082100183X |
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