Klein, OliverOliverKleinJarschel, VincentVincentJarschelEilts, PeterPeterEiltsWirz, FriedrichFriedrichWirz2025-06-272025-06-272025-05-1931st CIMAC World Congress 2025: Paper 248 1-13https://hdl.handle.net/11420/55922With the trend in shipping industry to switch primary fuels to renewable low flash-point alternatives, the abilities of internal combustion engines of handling transient loads are reduced. This has a major impact on maneuverability of ships and is therefore crucial for regulatory, contractual and safety aspects. Hybridization of the power systems including energy storage and shaft alternators can compensate for disadvantages by providing additional degrees of freedom, making stable control of the power system essential. The decision for an appropriate power system and its control system needs to be made in early design stage to avoid increased project costs for late changes. Thus, fast and accurate simulations based on limited project data are required. The simulation tool HyProS depicts a software solution to estimate the performance of shipboard power systems for such use cases. Part of it is a generic mean-value model of medium- and high-speed engines, which is parameterized with e.g., project guide data. The focus of this work is on optimizing control strategies for a typical use case with respect to different objectives using HyProS. The power plant architecture envelopes hybrid power supply and hybrid propulsion. The influence of different control settings for major components on the system behavior is worked out and considered for designing the controllers for the objectives of high dynamic performance and overall efficiency. The results are highlighting two things: the capabilities of system hybridization for optimizing vessel operation for different objectives and the benefits of fast simulations in early project phases. The generic engine model allows for a fast simulation setup and provides an advanced understanding of engine limits and their influence on maneuverability compared with models with lower fidelity.enhttps://creativecommons.org/licenses/by/4.0/Hybrid PropulsionMean Value Engine ModelEnergy Management SystemFuel Consumption MinimizationReal-Time SimulationTechnology::623: Military Engineering and Marine EngineeringTechnology::621: Applied PhysicsConference Paper not in Proceedingshttps://doi.org/10.15480/882.15280https://doi.org/10.5281/zenodo.1523486210.15480/882.15280Conference Paper