Every second year, a network meeting of Modelica and FMI users takes place in Germany: ThermoSim – Modeling and Simulation of Thermal Systems. Developers from industry and research meet to exchange ideas and get up to date with the latest technology.
©TLK Energy
Updated: October 20, 2026
ThermoSim is a networking event for the Modelica community held every two years. Modelica and FMI users come together to exchange ideas and make connections. Experts give presentations on various application areas, focusing on equation-based modeling and simulation of thermal systems, particularly using the Modelica programming language, as well as FMI-based methods.
TLK Energy also takes part, presenting its latest findings and projects from the world of Modelica. Presentations from previous events are available for download on this page.
Interested participants can register and submit their presentations in advance.
Date: every second year in September/October.
Location: Hamburg (2020), Braunschweig (2022), Munich (2024), Aachen (2026), Hamburg (2028)
Audience: Manufacturers in the automotive, rail, marine, aviation, energy systems, heat pump, refrigeration, and air conditioning sectors, as well as their suppliers; research institutions; simulation tool developers; engineering simulation service providers.
Organizers: TLK-Thermo GmbH, XRG Simulation GmbH, LTX Simulation GmbH, TLK Energy GmbH
The fourth ThermoSim took place in Aachen on September 22–23, 2026. Around 100 participants from industry and research came together to discuss current developments, applications, and challenges in system simulation with Modelica and FMI.
Alongside numerous engaging technical presentations, the event offered plenty of opportunities for personal conversations and discussions. The Bring Your Challenge and Expert Clinic formats also allowed participants to raise their own questions and discuss potential solutions with fellow experts.
What makes ThermoSim special is the open, personal exchange. Many speakers offer insights into real development projects, share valuable practical experience, and discuss challenges for which there are no ready-made solutions yet. This atmosphere of trust enables discussions that go far beyond conventional technical presentations.
For this reason, not all content is intended for publication. Some insights are deliberately reserved for event participants.
You can find further information, the event program, and highlights from Aachen on our ThermoSim 2026 event page.
We would like to keep some of the knowledge shared at the event accessible afterward. That is why we are making a selection of presentations from past ThermoSim events available for download here - with the permission of the respective speakers, of course.
The TIL Add-On Adsorption can be used to simulate Direct Air Capture (DAC) systems, which can capture CO2 from the air via adsorption. This technology offers great potential in the fight against climate change, but its success depends crucially on efficient and intelligent application. This is where the simulation library comes in: It is a valuable tool for overcoming the challenges of developing and optimizing DAC plants and maximizing their efficiency.
The Process System Library can be used to dynamically simulate process engineering processes, such as the electrosynthesis of water, oxygen and hydrogen into hydrogen peroxide. The library makes it possible to analyze various scenarios, such as how water can be used instead of hydrogen to reduce costs when electricity prices fluctuate. In this way, optimization potential in process management can be specifically identified.
The starting point is the question of how to evaluate the future energy costs and CO2 emissions of buildings in the early design phase.
An intuitive web interface is presented that dynamically simulates the building with little input effort. This makes it possible to evaluate the energy demand already in the design phase and thus lay the foundation for a sustainable building.
The classic approach to controller development is time-consuming and expensive, but widely used in the refrigeration industry. Here, the controller is programmed and then tested on the test bench. If errors are found, the controller is reprogrammed and the process is repeated until the desired behavior is achieved on the test bench. The model-based controller design presented here first tests the controller on a virtual simulation model, here using the example of defrost control for a heat pump.
The advantages of the tool chain MiL (Model in the Loop), HiL (Hardware in the Loop) and then only the test on the test bench become clear.
The starting point is the loss of range, especially in winter, of electric vehicles due to electric heating.
As a solution approach, the use of a thermal storage unit for heating is investigated.
The presentation is dedicated to the simulation-based calculation of the heating power demand under different boundary conditions. This demand can subsequently be used for the design of the thermal storage.
The temperature of batteries is critical to their safety, lifetime and performance. Therefore, the design of an effective cooling system is crucial. This is of particular interest for the application area of electric vehicles, which place high demands on the battery system. The presentation is dedicated to the question of how simulation-based optimal cooling can be designed in dynamic operation. A cold plate model is presented, which is optimized for given boundary conditions (e.g. maximum temperature) depending on design parameters (e.g. pump speed, diameter and number of cooling coils).
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