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
ThermoSim is the networking meeting of the Modelica world that takes place every two years. 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: info@tlk-energy.de (subject: ThermoSim).
Date: every second year in September/October.
Registration: as of July
Location: Braunschweig (2022), Hamburg (2020), Munich (2024)
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
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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