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In the field of Fire Safety Engineering, the application of mathematical models is crucial in order to properly estimate the severity of eventual fires occurring inside workplaces. Such models (like CFast, Ozone, FDS, CFX, Fluent), require a notable amount of specific parameters in order to work. Such parameters are usually available in the current literature, or they can be estimated via experimental tests. In this work, several experimental setups have been performed in order to evaluate such data in the burning of a wide range of materials: cotton, polyethylene and polyester in industrial rollers, flour, sugar, feed for dairy cows, and wood pallets. Cone Calorimeter, Mahler bomb, and real-scale tests have been performed in order to evaluate parameters such as Calorific Values, Total Heat Released, Heat Released Rate and smoke composition analysis. The real-scale tests have been performed with the aim of addressing fire occurring in warehouses, focusing then on an industrial environment. All the values have been compared with theoretical estimations made with the ClaRaf 2.0 software, and it was noticed that they tend to give overestimated values in comparison with empirical results.