Print Email Facebook Twitter Digital Twin of an isolated DC/DC converter for electrolysis Title Digital Twin of an isolated DC/DC converter for electrolysis Author Lock, Niels (TU Delft Electrical Engineering, Mathematics and Computer Science; DCE&S) Contributor Bauer, P. (mentor) Shekhar, A. (graduation committee) Deshmukh, R.S. (graduation committee) Degree granting institution Delft University of Technology Programme Electrical Engineering | Sustainable Energy Technology Date 2023-09-26 Abstract To utilize electronic power converters for water electrolysis in industrial electrical networks, reliable testing methods are required to ensure safe control operation as malfunctions can instigate hydrogen explosion and fierce electrical hazards. In this thesis, Digital Twin modeling via OPAL-RT software and hardware is compared to Simulink and PLECS simulation methods by creating the same power-to-power hydrogen network for all three with a Dual Active Bridge, a Medium Voltage DC grid, and an Alkaline electrolyzer whilst utilizing PI control via single phase shift modulation.The Digital Twin model showed great control tuneability, while the PLECS model showed superior control performance, modeling complexity, error occurrence, and time-based performance for the designed specifications. It was concluded that the Digital Twin model needs to be developed further or reassessedto outperform the other modeling methods. The recommendations made included re-evaluating the OPAL-RT Digital Twin results for different signal measurement methods and validating the OPAL-RT Digital Twin’s performance by comparing the results with other Digital Twin brands. Future work suggestions included creating a hardware-in-the-loop system and expanding on the current network design to include all components of a power-to-power hydrogen network. Subject Digital TwinIsolated DC/DC coverterDual Active BridgeAlkaline ElectrolyzerReal TIme Digital TwinElectrolysis To reference this document use: http://resolver.tudelft.nl/uuid:6b41fa94-ed55-4536-9b5c-250862f805f2 Part of collection Student theses Document type master thesis Rights © 2023 Niels Lock Files PDF Msc_Thesis_N._Lock_Digita ... olysis.pdf 13.72 MB Close viewer /islandora/object/uuid:6b41fa94-ed55-4536-9b5c-250862f805f2/datastream/OBJ/view