Get background information about our latest activities, and benefit from TLK Energy Team’s experience with helpful theoretical insights for your daily work.
Statistical design of experiments is a valuable tool for engineers and other users. We give an overview of the most important basics of design of experiments without diving too deeply into mathematics and explain how a design of experiments can be created in practice.
It is difficult to understand intuitively why a heat pump pumps heat at all. Thermodynamic concepts such as heat and energy cannot be directly experienced in everyday life. Therefore, we explain the basic principle of a heat pump with an analogy to the much more tangible water pump.
When it comes to physical modeling and simulation of technical systems, the question often comes up: Modelica or Simulink? We want to answer this question by looking at the basic differences and by using a simple example.
The KMU-innovativ research project "Be-Safe" focuses on resource and energy efficiency as well as climate protection. Together with partners from industry and research, methods and a webtool are being developed that enable the safe design of energy systems according to these principles.
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.
FMUs are ideal for performing large-scale simulation studies on computing clusters. Since computing clusters usually run on Linux, the FMUs must also be compiled for Linux. We show you how to generate cross-compiled Linux FMUs with Dymola.
In many heat pumps 4-way reversing valves are used to reverse the refrigeration cycle for evaporator defrosting or cooling mode. How does this switching work? What happens with the cycle during reversion? And why is this an energy-efficient defrosting method?
The simulation in Dymola does not run, stalls, is slow or even aborts? - A common cause: nonlinear systems of equations. Learn how to avoid them to save simulation time and make your simulation model numerically robust.
Dymola and Modelica are often used as synonyms or mentioned in the same breath. Depending on the context, this is misleading or even wrong. We explain the differences and connections between the Modelica language and the Dymola software.
The use of thermal storages can reduce the load on the battery of electric buses in winter and thus increase their range. As part of the LatHe.GO research project, we are investigating the use of metallic latent heat storages as heating system for electric buses.
In the MoGaTEx research project, we are investigating the model-based design of adsorption columns for gas separation based on small-scale experiments.
When modeling thermal systems, there is no way around it: the energy balance, also known as the first law of thermodynamics. Most engineers are familiar with the energy balance from their studies, but we use an alternative formulation in the TIL Suite.
Static calculations are often sufficient for the energy design of buildings. But in some cases, dynamic thermal building simulations are of advantage.
Hardware in the Loop (HiL) testing is not just for the automotive industry! Our experience with simulation-based control development for thermal systems such as heat pumps, refrigeration plants or fuel cells.
Pinch analysis, also known as process integration, is used to systematically link process streams to reduce energy demand.
Feedback in control loops is the basic concept of control engineering. We explain this concept without mathematics, only using illustrative examples. Gain an intuitive understanding of why control loops can become unstable. And learn what is crucial for good control design.
Measures to reduce CO2 emissions in companies - learn more about the general levers in the TLK Energy Blog. Reduce CO2 emissions through decarbonization, energy efficiency and compensation.
It sounds contradictory: What does a refrigeration cycle do in a heat pump? Resolving precisely this apparent contradiction is the key to understanding the fundamentals and functioning of refrigeration cycles – and heat pumps.
PI and PID controllers are the most frequently used controllers in practice. Even though the actual control law is very simple, the selection of suitable parameters is not trivial. We present a practical and well-proven step-by-step method to determine good PID parameters for a given application.
How are individual apps for the simulation of technical processes developed? What additional value can simulation with an online tool offer in the fields of engineering, sales and technical marketing? We show you which steps are necessary to transfer complex models into an intuitive app.
When is a parameter study appropriate? And how should one proceed? We present a tool chain from the simulation model in Modelica, FMU export and the use of Python scripts to visual data exploration.
Receivers or accumulators are often used in refrigeration cycles. They are basically very simple components, but their function in the overall system is quite complex. We want to take a closer look at them and understand the effects on the overall refrigeration system.
How can the heating capacity of a car be calculated with the help of simulation? Why is this interesting for electric cars that suffer from a loss of range in winter? We show you how to determine the heating power under various boundary conditions using a physical vehicle cabin model.
Computer simulations often differentiate between steady state and dynamic simulation. We want to define these terms more precisely and explain the differences.