posted on 2020-05-06, 08:44authored byHenrik Pieper, Torben Schmidt Ommen, Brian ElmegaardBrian Elmegaard, Wiebke Brix Markussen
The optimization model was developed in the General Algebraic Modelling
System (GAMS, version 24.8.3) using the CPLEX solver, version 12.7.0.0. The software code can be found at the provided link. Input data can be found here.
The purpose of the model is to investigate which heat sources, heat sinks and/or
combination of them are best suited for heat pumps and chillers to supply district heating and cooling. Mixed-integer
linear programming was used to carry out an annual optimization on an hourly
basis to minimize total annualized costs.
The model takes investment costs, operating
and maintenance (O&M) costs, short-term hot and cold water storage,
seasonal temperature variations of heat sources, heat sinks and the district heating network,
capacity limitations of the heat sources/sinks as well as the distance from the
heat sources/sinks to the district heating and cooling network into account.
The model was developed with the intention of using it during an early
planning stage of a new district heating and/or district cooling area when details about required production
capacity are unknown and no decision about the heat source and heat sink has
been made.
Funding
The PhD project was part of the project “EnergyLab Nordhavn - New Urban Energy Infrastructures” and was funded by EUDP (Energy Technology Development and Demonstration), project number: 64014-0555.