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The demand for energy and cost efficient supply with electricity and heat is rising. This work follows an approach with a holistic examination of city quarters in order to create a basis for investment decisions for the energy supply for residential housing based on optimized distributed energy conversion. Using mixed-linearinteger programming an optimal setup of energy conversion units like heat pumps, photovoltaic systems or conventional heatings is determined considering the investment as well as their operation costs over a period of 20 years. In addition a local district heating network can be designed using graph theory in order to take advantage of load balancing effects and the economies of scale. The functionality of the model is shown by analysing a small city quarter in Germany.

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