The blast furnace (BF) chemically reduces and physically converts the iron ore into a liquid called hot metal. Pulverized coal injection (PCI) was implemented in the industry in the middle of the 1980´s. PCI improves the BF-process economically and provides possible heat level control but may introduce operational disturbance. Due to the harsh environment inside the BF experimental data is hard to obtain. Therefore computational fluid dynamics (CFD) often is used to understand and further optimize the process.The process can be improved by increasing the coal combustion inside the BF. One way of doing this is by increase the dispersion of the coal particle plume from the PCI. To be able to validate a CFD-model experiments for particle dispersion have been conducted at room temperature for two different lance types. The results from the experiment were in the form of images and some collected fluid data (boundary conditions).The objective of this study has been to create a CFD-model for particle injection through an injection lance and develop a methodology to validate the particle dispersion model against the experimental images. The result from this work consists of two CFD-models, where main errors corresponding to numerical methods have been investigated and discussed. Further, this work has generated a model validation method based on analyzing the luminosity dispersion in images.The main conclusions from this work are:• The coaxial model generated an estimated model error of 10-15 % depending on the investigated boundary conditions. The value of the model error for the coaxial model is of high credibility based on the estimated magnitude of the iteration and discretization errors that were made• The swirl model generated an estimated model error of 6-19 % depending on the investigated boundary conditions. The value of the model error for the swirl model is of significantly lower credibility compared to the coaxial model based on the estimated magnitude of the iteration and discretization errors that were made