@misc{9233316,
  abstract     = {{Industrial pasteurisation is a heat-intensive process with significant potential for decarbonisation. This study investigates how open-source Modelica libraries can be adapted for industry, especially for food industry, and integrated to replace fossil-based thermal systems.

Investigations are done to evaluate models of heat pumps, thermal energy storage, specifically the stratified tank, and solar thermal collectors. The work assesses both the suitability of existing libraries and their ability to support the preliminary design of an integrated dairy pasteurisation system. Results show that libraries such as Buildings provide strong capabilities for modelling stratified tanks and heat pumps, although limitations remain for detailed heat pump modelling, requiring the complementary library the DLR Thermofluid Stream Library. For parabolic trough collectors, ThermoSysPro was a great fit.
 
Simulation results indicate that combining stratified tanks with high-temperature heat pumps improves heat recovery and reduces reliance on fossil-based energy sources while maintaining operational flexibility. A preliminary block flow design for a small-scale pasteurisation system is established, demonstrating feasible system integration pathways.

Solar thermal integration is further evaluated using climate data from Lund (July 2024), showing that 14-27 collectors and 23-46 collectors are required to cover 50 %-100 % of a 4 hour production energy demand for high temperature short time pasteurisation processes with a production flow of 20,000 L/h and 35,000 L/h respectively.
 
With the promising results from the identified libraries, it can be concluded that existing open-source Modelica libraries can directly or after suitable adaptations, support preliminary modelling and early-stage analysis of thermal energy integration in food-processing applications aimed at industrial decarbonisation. However, further validation against real plant data is required before the models can be used for accurate real plant predictions.

The adapted models and integrated system can be found on GitHub, in the package ThermalEnergySys.}},
  author       = {{Andersson, Herman and Karlsson, Ida}},
  issn         = {{0282-1990}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Integration and Adaptation of Open-Source Thermal Energy System Models for Food Processing Applications}},
  year         = {{2026}},
}