Optimal Design of Energy Storage System for Peak-Shaving in Industrial Production
Konferenz: NEIS 2023 - Conference on Sustainable Energy Supply and Energy Storage Systems
04.09.2023–05.09.2023 in Hamburg, Germany
Tagungsband: NEIS 2023
Seiten: 7Sprache: EnglischTyp: PDF
Autoren:
Li, Lixin; Starosta, Anna Sina; Schwarz, Bernhard; Munzke, Nina; Hiller, Marc (Electrotechnical Institute, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany)
Strehle, Hanns-Martin; Richter, Mark (Fraunhofer Institute for Machine Tools and Forming Technology (IWU), Chemnitz, Germany)
Inhalt:
Energy storage systems (ESS) offer a wide range of applications in industrial production, with the potential to significantly reduce electricity power costs through peak-shaving, particularly in Germany. This paper proposes a methodology for designing ESSs specifically for industrial peak shaving from a techno-economic perspective. The proposed approach utilizes mixed-integer linear programming (MILP) to calculate the minimum annualized total operating costs, compares various energy storage technologies (EST) to determine the optimal solution, and performs sensitivity analysis to identify critical impact factors on the optimization problem. A case study is implemented with real-world data. The results indicate that connecting a 38.4 kW/38.4 kWh lithium-ion (Li-ion) battery energy storage system (BESS) to the example factory delivers the greatest economic benefit compared to the other three storage technologies. This results in a total cost saving of 980 €/a and a peak power reduction of 33.8 kW. Additionally, a lookup table is provided to assist the factory in selecting the optimal Li-ion BESS available in the market.