Analysis of a dynamic operation of a district heating system

V zadnjih letih se pojavlja optimiziranje sistemov daljinskega ogrevanja, s čimer zmanjšujemo stroške vzdrževanja in izpuste emisij. Poleg tega se lahko omogoči ustrezno dimenzioniranje sistema, ki zmanjša začetne stroške. Optimizacijo izvajamo s programskimi orodji, ki omogočajo simulacijo termo-hidravličnih pogojev v mreži daljinskega ogrevanja. Orodja imajo uporabniški vmesnik, ki uporabniku omogoči boljšo predstavo in lažje upravljanje s podatki, vendar so v veliki meri plačljiva. V magistrskem delu smo izvedli analizo toplotnih in hidravličnih razmer sistema daljinskega ogrevanja s samostojno izdelanim Python simulacijskim orodjem. Za analizo toplotnih in hidravličnih izračunov smo uporabili Python knjižnico za simulacijo termo-energetskih sistemov. Simulacijsko orodje po uvozu podatkov mreže in definiciji robnih pogojev omogoča izračun mreže daljinskega ogrevanja ter vizualizacijo omrežja in rezultatov. Izračuni imajo blizu robnih pogojev, pridobljenih s kalibracijo, veliko točnost, ki se z odmikanjem od pridobljenih robnih pogojev zmanjšuje.In recent years, optimization of district heating systems has been occurring, thus reducing maintenance costs and emissions. In addition, appropriate dimensioning of the system can be done to reduce initial costs. Optimization is performed with software tools that enable simulation of thermo-hydraulic conditions of the district heating network. They have a user interface that gives the user a better idea and easier data management, but they have to be paid for. In the master\u27s thesis, an analysis of the thermal and hydraulic conditions of the district heating system is performed with an independently developed Python simulation tool. For the analysis of thermal and hydraulic calculations, we used the Python library for simulation of thermo-energy systems. After importing the network data and defining the boundary conditions, the simulation tool enables the calculation of the district heating network and the visualization of the network and results. The calculations have a high accuracy close to the boundary conditions obtained by calibration, which decreases with deviations from the obtained boundary conditions