ThermoSim - Modeling and simulation of thermal systems

Every 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.

Lina Rosenthal

Lina Rosenthal


February 16, 2023

©TLK Energy

What is ThermoSim?

ThermoSim is the annual networking meeting of the Modelica world. Modelica and FMI users come together to exchange ideas and make contacts. Experts give presentations on various application areas, with a focus on equation-based modeling and simulation of thermal systems, especially in conjunction with the Modelica programming language, and FMI-based methods.

Of course, TLK Energy will be there as well, presenting its latest findings and projects from the Modelica world. Previous presentations are available for download here on the website.

Interested parties can pre-register and submit their presentations.
Please contact us for this purpose: (subject: ThermoSim).

Date: every year in September/October‍.
Registration: as of July‍
Location: Braunschweig (2022), Hamburg (2020), to be announced
Audience: manufacturers from the automotive, railroad, ship, aircraft, power plant, heat pump, refrigeration and air conditioning sectors and their suppliers; research institutions; simulation tool manufacturers; calculation service providers
Cost: approx. €200 for regular conference topics; presenters pay no event fee.‍
Organizers: TLK-Thermo GmbH, XRG Simulation GmbH, LTX Simulation GmbH

Our presentations at ThermoSim 2022 in Braunschweig‍‍‍

Building simulation concept phase

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.

Methods and tools

  • simulation with TIL Suite + AixLib
  • web-based simulation with TDA

Further information‍

Model-based controller development for heat pumps

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.

Methods and tools

  • simulation with TIL Suite
  • export as FMU in Simulink

Further information‍

Hardware-in-the-loop tests for thermal systems

Increase your test coverage and the quality of your control software and avoid errors thanks to tests with virtual prototypes.

HiL-Tests with TLK Energy

Our presentations at ThermoSim 2020 in Hamburg

Model-based analysis of battery electric buses for the integration of thermal storage

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.

Methods and tools

  • simulation with TIL Suite + Add-On Automotive
  • automatized parameter study with MoBA Automation
  • interactive plots with Python Bokeh
  • web-based simulation with sim.TLK

Further information‍

Model based cooling plate design for battery systems

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).

Methods and tools

  • simulation with TIL Suite
  • automatized parameter study with MoBA Automation

Further information‍

Lina Rosenthal


Lina Rosenthal

PR & Office Management

TLK Energy

Lina Rosenthal completed her bachelor's degree in physics at RWTH Aachen University. She then studied building energy systems at TU Berlin and wrote her master's thesis in 2018 in cooperation with TLK Energy. Since then, she has been part of the team. As an all-rounder, she advises on simulation software, takes care of marketing activities and organizes the Modelica and TIL training.

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