639. Transformation of primary steelmaking networks to mitigate industrial greenhouse gas emissions
Invited abstract in session TD-39: Sustainable & Resilient Digital Twins, stream Sustainable & Resilient Systems and Infrastructures.
Tuesday, 14:30-16:00Room: Newlyn LG.01
Authors (first author is the speaker)
| 1. | Yannik Graupner
|
| Institute of Automotive Management and Industrial Production, Technische Universität Braunschweig | |
| 2. | Thomas Spengler
|
| Institute of Automotive Management and Industrial Production, Technische Universität Braunschweig |
Abstract
To mitigate greenhouse gas emissions, energy-intensive industries must transition toward less CO2-intensive technologies within their production networks. Globally, the steel industry is one of the largest greenhouse gas emitters. In primary steelmaking, several technologies are available to reduce these emissions, such as modifying conventional processes or replacing them with low-carbon alternatives. However, companies need to decide how to transform production networks favorably economically and environmentally. As a result, planning models are required to support decision-makers in designing transformation pathways for their production networks. Against this background, we developed a mathematical optimization model that enables corporate decision-makers to identify optimal strategies to modify and replace conventional production facilities to mitigate greenhouse gas emissions from industrial production processes. Among other factors, the impacts of European Emissions Trading are considered in this decision-making process. The model is formulated as a mixed-integer linear programming model that aims to maximize steelmaking's net present value. Using the production network of a major European steel manufacturer as a case study, the network redesign is analyzed within different scenarios. The results indicate that mitigation of greenhouse gas emissions in conventional production processes is rarely pursued.
Keywords
- Capacity Planning
- OR in Sustainability
- Strategic Planning and Management
Status: accepted
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