Optimization model for the energy supply in city quarters

Abstract

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.

The Role of Heat Pumps in Multi-Energy Systems in City Quarters

“…The model describes the combined investment and operation problem and determines the optimal set of conversion units as well as the layout of an optional DH network. The work presented in this paper is based on an extension of the approach described in [5,6]. The objective function of the resulting optimisation problem is formulated as follows:…”

“…The optimum for each single building is used as the starting and reference solution for the optimisation of a local heat network. The iterative approach as described in [5] decouples the network design from the investment decision regarding conversion technologies and has been proved as scalable to city districts with 150 objects. It uses graph theory to generate networks as a minimal span tree.…”

Multi Objective Optimization of a Power Distribution System Based on Mixed Integer Programming

“…Krengel et al [13] present an approach of examining the city's districts as a whole in order to create a basis for investment decisions relating to the supply of energy to residential housing on the basis of an optimized conversion of distributed energy. Using MILP (Mixed Integer Linear Programming), an optimal configuration of energy conversion units such as heat pumps, photovoltaic systems or conventional heating systems is determined taking into account the investment as well as their costs.…”