District Heating Network Models for Production Planning
Henning Larsson · Lund University Publications Student Papers (Lund University) · 2015
In this thesis, a methodology for aggregating district heating networks for use in dynamic optimization with the JModelica.org platform is investigated. Several methodologies for this network reduction are reviewed, and one, based on a detailed physical model of the system, is presented in greater detail. This method is implemented along with an abstract network representation and Modelica code generation to automate as much as possible of the workflow from network data to simulation and optimization models. Experiments are presented both for aggregation for typical cases with 3–4 conusmers in a sub-network, and for a full district heating network. The tests on the smaller networks are mostly accurate, and while the results from the full network show the need for further improvement of the method, a likely source for the error is presented, along with solution proposals.