Sorption Heat and Cold in District Heating Networks

Publieke samenvatting / Public summary

For a long time, thermochemical heat storage is considered as an attractive candidate to solve the mismatch problem between the heat demand and supply of solar energy. The advantages of thermochemical heat storage compared to other options are high storage density and almost lossfree storage. However, important fundamental obstacles still need to be tackled before this technique can be applied on larger scales, certainly when it comes to a marketable product. Heat and cold storage will play an important role in the advancement of district heating networks to close the gap between heat supply from sustainable energy sources and the demand for heat and cold by the connected consumers.

Within the running TKI-SWeKOS2 project a marketable compact and loss-free heat and cold storage system will be developed, which is produced in a cost-effective way and is equipped with one of the following thermochemical materials: modified Na2S and CaCl2 or K2CO3. This part will mainly be carried out by De Beijer RTB in collaboration with TNO. Within the SWeKOS2 project, the postdoc at TU/e focuses mainly on the development of a design tool for one single module of the heat and cold storage system. Here we propose that the SWeKOS2 project will be complemented with the development of a reducedorder model of a complete heat and cold storage system (tank, storage materials, heat exchangers, insulations, etcetera) which can then be used in simulations of the entire district heating network over longer periods.

Korte omschrijving
The main objectives and results of the project are: - Development of a digital twin model for a complete heat and cold storage system to be embedded in a district heating network. This digital twin is based on reduced-order computer simulations and tested against data that are acquired in the SWeKOS2 project. - Extending the digital twin model to an entire district heating network and validation of the digital network twin against known data from existing district heating networks and other literature models. - Identification of the essential steering parameters (costs, energy use, CO2 emissions) and optimizing the entire system against these parameters.

Within this project, a reduced-order model (digital twin) will be developed which will provide reliable long-term simulations of a district heating network based on validated heat and cold storage models.