<p>Turbulence is pivotal in many processes which are critical to engineering systems. High-fidelity computational fluid dynamics (CFD) simulations are increasingly used to aid the design of these systems. Representative inlet boundary conditions are needed to capture accurate fluid behaviour. Due to high computational costs, simulations often focus only on regions of interest, necessitating approaches that can accurately reproduce inlet turbulence fluctuations in truncated domains. The proper orthogonal decomposition and Fourier Series (PODFS) method provides a convenient and efficient way of compressing turbulence data from a precursor simulation for use as inlet data. A subset of POD modes provides the spatial information with significantly less overhead than recycling methods while Fourier series representations of the temporal components guarantee temporal continuity and flexibility in timesteps. We evaluate PODFS for a turbulent bluff-body flow and an effusion cooling rig. In the bluff body flow, large-scale vortex shedding and small-scale turbulence are present. The PODFS inlet is seen to reproduce the flow features downstream of the bluff body and the number of modes necessary for this is investigated. For the heat transfer case, inlet turbulence is known to be critical to the predictions of cooling effectiveness. PODFS based on a single simulation of the full jet in cross flow turbulence generator is used to provide the inlet conditions for cases using different blowing ratios. The correct trends with blowing ratio and inlet turbulence are reproduced, showing a significant saving in computation time over using the full geometry in each case.</p>