Schreiber, P. Blomley, E. Gethmann, J. Mexner, W. Müller, A.-S. Schuh, M. JACoW Publishing Geneva, Switzerland 2673-5512 978-3-95450-237-0 10.18429/JACoW-PCaPAC2022-THP16 English 79-81 simulation lattice controls optics EPICS Contribution to a conference proceedings 2023 2023-02 https://doi.org/10.18429/JACoW-PCaPAC2022-THP16 https://jacow.org/pcapac2022/papers/thp16.pdf Karlsruhe Research Accelerator (KARA) at the Karlsruhe Institute of Technology (KIT) is an electron storage ring and synchrotron radiation facility. The operation at KARA can be very flexible in terms of beam energy, optics, intensity, filling structure, and operation duration. For different aspects of the operation of the accelerator separate and individual simulation models are in place using different simulation tools, custom lattice data and varying levels of maintenance. In a general push at the accelerator to provide unified access via Python, a new framework was implemented using Ocelot with a much closer integration to the accelerator control system and supplementary tools. This allows a better integration and lowers the effort necessary for simulations and predictions of actual changes to the beam properties based on live data. It also provides a good entry point for the various Python based machine learning activities at the accelerator and the goal to obtain an easier to maintain and test accelerator model. This paper presents the taken approach and current status of this project.