The presentation will showcase a case study of a project for a customer (pharmaceutical industry) who wanted to know:

How can the energy requirements of one or more cleanrooms be reduced while ensuring high effectiveness in the removal of contamination?

The case study shows that the “rule of thumb” for air exchange rates is not used, but rather time- and location-resolved data generated by simulation.
Process simulation (material flows, resource utilization, capacities, and time sequences) can provide data histories of the parameters relevant to cleanroom design (contamination generation and heat dissipation from process equipment and operators).
Analysis of these data trends makes it possible to identify critical conditions in each room that can be used to define airflow volumes. For rooms with complex shapes, the generated data is used as input for CFD (computational fluid dynamics) simulation of the airflow to optimize the positions of the supply air outlets and exhaust air grilles.

Findings: Cost reduction through savings while maintaining effectiveness
Who we address: Technical managers, production managers, production planners, cleanroom planners, sustainability managers...
Prior knowledge: Cleanroom planning, cleanroom requirements would be helpful