This research explores the integration of start-up and shut-down trajectory constraints into the Tulipa energy system optimisation model, which uses fully-flexible temporal resolution. These constraints aim to more realistically represent the behaviour of large thermal generators during operation. Case studies with varying time resolutions and generator configurations were evaluated to measure impacts on computation time and solution accuracy. Results show a significant increase in computation time with small gains in accuracy, compared to introduction of minimal down-time constraints.