It can be difficult for companies outside of the district heating sector to determine the financial viability of district heating systems. This thesis focuses on the adaptation and review of a network optimization model to be used as a financial optimization model. In the thesis, literature study is performed in order to determine the input parameters required for the model. The model is subsequently applied to a case from KPN in which a network extension is used to provide waste heat to cool a datacenter. The model is assesed on functionality, practicality, applicability, and accuracy. The results from the model simulations are compared to values retrieved from practical experience. The analysis confirms the model’s efficiency in calculating complex district heating networks. It also acknowledges the need for practical experience in determining the values for the model parameters.