Master's Thesis Jonas Tesfaegzi

 

Energy system distribution and planing on city district level with mixed integer optimization

The ongoing climate change and the scarce energy resources require a shift of the present energy
system. The substitution of conventional boilers by decentralized combined heat and power plants
could contribute a reduction of primary energy and greenhouse gas emissions. By summarizing several
consumers in a local heating network, the economical operation and the integration of such
plants is facilitated. However, this involves higher requirements on the planner, selecting the optimal
energy system variation. This thesis presents a mixed integer linear program to determine
the optimal heating network structure as well as the design, the distribution and the operation of
the system components. The energy system contains combined heat and power plants, conventional
boilers, peak load boilers, thermal storages and pipelines. As objective functions, total annual
costs and greenhouse gas emissions are taken into consideration. Additionally the optimization
model offers the opportunity to preselect a network structure. This is calculated by the Kruskal’salgorithmand
leads to a reduction of computing time. Afterwards, the optimization model is tested
by the example of a housing complex and the results are evaluated and analyzed.