Ebongue, Yvonne Eboumbou; Torolsan, Kerim; Schmalzried, Manuel; Karahan, Berk Simulative Evaluation Of Energy-Flexible Operation In Industrial Energy Systems Konferenzbeitrag In: 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), S. 1–5, IEEE, 2025, ISBN: 979-8-3315-2503-3. Abstract | Links | BibTeX | Schlagwörter: Flexibilit{ä}tsautomatisierung;Flexibilit{ä}tsumsetzung @inproceedings{EboumbouEbongue.2025,This study presents a simulation-based approach to optimizing energy flexibility in industrial systems, focusing on the energy-intensive dairy sector. Key strategies include aligning energy demand with renewable energy availability, reducing peak loads, and responding to volatile energy prices. The model evaluates thermal storage and heat pumps to enhance efficiency and cost savings. Results show that energy-flexible operation increases renewable energy integration. Adaptive control and strategic prioritization of flexibility measures are crucial for maximizing economic and environmental benefits. |
Torolsan, Kerim; Gerdes, Jan-Niklas; Schnell, Felix; Bezold, Vincent; Sauer, Alexander Hannover : publish-Ing, 2025. Abstract | Links | BibTeX | Schlagwörter: Flexibilit{ä}tsautomatisierung;Flexibilit{ä}tsumsetzung @book{Torolsan.2025,Battery cell and electric vehicle (EV) manufacturing have emerged as key pillars in Europe's industrial landscape, potentially playing a crucial role in the region's energy transition and economic development. The advanced technological nature of these industries provides untapped potential for energy flexibility. This paper explores the energy flexibility capabilities within battery cell and EV manufacturing. It demonstrates how these industries can adapt their energy consumption by identifying and quantifying the potential for demand-side management within crucial manufacturing processes. Findings indicate that battery cell production offers high flexibility potential due to the intermittent energy demand of critical processes like electrode drying and formation cycles. Similarly, the automotive assembly line for EVs presents opportunities to modulate electricity consumption without compromising productivity. Scaling these energy flexibility potentials in line with the projected growth of battery and EV manufacturers in Europe, it becomes evident that these sectors can contribute significantly to the electricity grid's stability. This paper underscores the role of sector-specific flexibility strategies as a pillar of Europe's energy transition. |
Torolsan, Kerim; Mutz, Alexander; Schmalzried, Manuel; Sauer, Alexander Method for the Automated Evaluation of Energy Flexibility in Industrial Energy Systems Konferenzbeitrag In: 2025 14th International Conference on Renewable Energy Research and Applications (ICRERA), S. 514–521, IEEE, 2025, ISBN: 979-8-3315-9989-8. Abstract | Links | BibTeX | Schlagwörter: Flexibilit{ä}tsautomatisierung;Flexibilit{ä}tsumsetzung @inproceedings{Torolsan.2025b,Industrial energy systems account for Germany's most significant share of electricity consumption and offer substantial potential for temporal load shifting. Nevertheless, investments in energy flexibility remain limited due to low transparency, high complexity, and uncertain economic benefits. Existing approaches often require detailed process knowledge and costly audits. This paper introduces a method for the automated evaluation of energy flexibility in industrial energy systems. The method applies linear optimisation to historical load data and market parameters, combining a model-based potential analysis with a systematic assignment of suitable energy flexibility measures. The approach is designed for low-threshold applicability without detailed process information. The method was applied in two real-world case applications. Results showed reductions in peak load, network charges, and day-ahead market procurement costs. While maximum technical cost reductions were achieved at higher flexibility levels, economic feasibility depended on storage sizing. The method provides a transparent, data-driven basis for linking quantified flexibility potential with practical measures, thereby supporting informed investment decisions. |
Simulative Evaluation Of Energy-Flexible Operation In Industrial Energy Systems Konferenzbeitrag In: 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), S. 1–5, IEEE, 2025, ISBN: 979-8-3315-2503-3. |
Hannover : publish-Ing, 2025. |
Method for the Automated Evaluation of Energy Flexibility in Industrial Energy Systems Konferenzbeitrag In: 2025 14th International Conference on Renewable Energy Research and Applications (ICRERA), S. 514–521, IEEE, 2025, ISBN: 979-8-3315-9989-8. |