Country
Country
Flows of liquids and gases occur all around and within us. Airflow in indoor spaces greatly influences the perception of comfort, especially in atriums, naturally ventilated offices, and industrial buildings. Airflow is also a key factor in the spread of harmful substances in a space and in many industrial processes. Liquid flows are important in environmental science, healthcare, and the chemical industry.
Computational Fluid Dynamics (CFD) is the method used to solve specific flow-related problems using computer simulations. In a CFD study, factors that influence comfort can be considered simultaneously, such as outdoor climate, radiant heat, cold downdrafts along façades, and airflow from mechanical ventilation systems. By combining CFD simulations with wind tunnel testing, the effectiveness of natural ventilation in offices and industrial buildings can be reliably predicted. Additionally, two-phase models can be used to study the mixing of gases and liquids and chemical reactions.
Another application of CFD simulations is the assessment of heat and pollutant dispersion in and around industrial buildings, as well as diffuse emissions to the environment influenced by mechanical exhaust systems and façade or roof openings. This type of simulation is also increasingly used in fire safety. It supports the design and evaluation of smoke and heat extraction systems (SHE) in atriums, shopping centers, or ventilation systems in parking garages and tunnels. These simulations make the time-dependent spread of smoke and heat during a fire visible.
Peutz has also conducted extensive research into optimizing cooling by reducing short-circuiting effects between dry coolers and hybrid coolers.
Industrial applications include:
In these applications, as well as in the design of consumer products, CFD allows for rapid comparison of design variants based on performance, helping to avoid trial-and-error approaches.
With CFD simulations, Peutz can provide both detailed and high-level insights into air and liquid flows in situations of widely varying scale and complexity.
