One of the major computational challenges in industrial applications is the sheer size of the system at hand. Despite the fact that high-fidelity methods have become an indispensable tool in the daily industrial environment, they are not fit for tackling such large and/or parametrised systems in a time-efficient manner. ROMs have shown their ability to efficiently approximate complex problems for a small penalty in accuracy. Even then, the construction of a sufficiently parametrised ROM for large cases can prove infeasible. Typical scenarios would include the simulation of flow around multiple interacting components, e.g., wind-farms, which present a challenge due to size and complexity. This work explores the viability of the Chain-ROM strategy, i.e., fluid-fluid coupled ROMs in a turbulent scenario. The core ROM methodology consists of constructing a singular hybrid ROM [1] component that would replace its high fidelity counterpart in a larger system. The secondary component is a ROM interface which handles communication between multiple ROM components. Some of the challenges are the sampling procedure, the complexity of the interface between ROM components, and the handling of time-dependent inputs. Moreover, the ROM itself combines data-driven and projection-based techniques, as well as corrective terms. Finally, the capabilities of the proposed strategy are tested by constructing a ROM component and emulating the turbulent flow over a series of simplified geometries and parametrised inflow conditions. REFERENCES [1] Tsiolakis, V., Kvamsdal, T., Rasheed, A., Fonn, E., and van Brummelen, H. Reduced order models for finite-volume simulations of turbulent flow around wind-turbine blades. Journal of Physics: Conference Series, Volume 2018, 012042, 2021.