Thermal energy storage allows shifting of energy production from high-peak to off-peak hours. This peak shaving could improve the system efficiency and reduce the energy consumption, components sizing and costs. However, the improvement depends on the choice in storage material and scenarios (full storage, load levelling, demand limiting). To assess the impact of these parameters on the system, a model of the cooling district using secondary refrigeration was developed by assembling component models: chiller, storage tank, circulation loop and users (heat exchanger). This model is able to predict the system dynamic behavior (fluid temperature evolution in loop, storage tank and heat exchangers), pumping power, energy consumption, investment and operation costs. The comparison of different storage materials (MPG, ice slurry, CO2 hydrate slurry) and storage scenarios was performed to identify configurations with the best performance.