District heating systems are common in Nordic countries today and accounts for a great portion of the heat demand. In Sweden, total district heating end use in the last years has been around 50 TWh and district heating accounts for roughly 50 % of the total heat demand. Suppliers of district heating must balance demand and supply, often in large and complex networks. Heat propagation can be in the range of hours and it is not known in detail how the heat will propagate during transient conditions. A dynamic model has been developed in OpenModelica and a method for modeling, handling data, simulating and visualizing the results of a district heating network was developed using Matlab as core. Data from Mälarenergi AB, a district heating producer and grid operator, was used for validation of the model. Validation shows that the model works well in predicting heat propagation and temperature distribution in the network and that the model can be scaled up to a large number of heat exchangers and pipes. The model is robust and can handle bi-directional and reversing flows in complex ring structures. It was concluded that OpenModelica together with Matlab is a good combination for creating models of district heating networks, as a high degree of standardization and automation can be achieved. This, together with visualization of the heat propagation, makes it useful for the understanding of the district heating network during transient conditions. / Smarta Flöden

This thesis deals with problematics of installing wireless routers into specific locations depending on their heating and ideal signal transmission. The thesis is divided into eight chapters. The beginning of the thesis is theoretical describes the introduction into the problematics, the second part is practical and covers the executed experiment. The theoretical part contains six chapters – heat, signal, wireless router and measured climatic conditions. The practical part describes the executed experiment by thermo-camera which was used to scan wireless routers in IoT Lab in Avast Software company. Based on this experiment, the ideal position for installing the wireless router is then established. The conclusion of the practical part includes an analysis of the results of the questionnaire survey, in which technically skilled people were asked to describe the height of installation of their wireless router or whether did they consider heat and signal propagation while installing their wireless routers.