Development of a dynamic simulation tool based on the node method

The first stage of the modelling was to identify the suitable tool for enabling us to host all the different technologies applied on the networks. After discussions with our partners, the consortium partners concluded that MATLAB Simulink was the most suitable candidate as it can host the different modules developed by the consortium. The main option for the modelling within MATLAB Simulink, was the Simscape module for physical modelling, and in particular the Thermal Liquid domain. This domain combines the properties of the Liquid and the Thermal domains to account for pressure, temperature, flow, compressibility, etc. So, losses can be accounted for, simulated and calculated. This will allow for the project to verify and quantify the improvements offered by CEMITEC’s advanced insulation materials.

The advantage of simulating the networks in MATLAB Simulink, is that optimization can be performed on the whole model, by assigning the target variables for optimization, setting initial conditions and the boundary constraints. This task requires the module developed by CITY, which is the controller of the plant’s operation. With the finalization of the modelling of heat exchangers and the connection with the controller, the optimization algorithm (based on Evolutionary Algorithms) can be applied to both networks to find the optimal rate of adjustment of the production of heating or cooling. To this end custom functions have been in development based on Genetic Algorithms, Particle Swarm and Simulated Annealing.