Airflow Modeling Simulation Optimizes Cleanroom Design By: Andrew Manning April 2006
Untitled Document
A case study illustrating the use of airflow modeling software in the design
of a pharmaceutical cleanroom
THE CASE STUDY SHOWN HERE was carried out by Tanvec and illustrates the use
of FLOVENT® airflow modeling software to investigate and optimize the design
of a complex pharmaceutical cleanroom. The end user was seeking to optimize
the design of a cleanroom containing vial filling machines, lyophiliser loading,
and automated transport systems. The pharmaceutical regulatory requirements
demand the following cleanliness classes for different parts of the operation
(see Table).
The main issue investigated was the size of unidirectional airflow clean zone
required to protect exposed product as it is loaded from the transporter into
the lyophiliser. In addition, it was necessary to identify an appropriate way
to segregate this critical zone from the surrounding cleanroom area with non-unidirectional
flow. The investigation was carried out in two distinct stages. The first stage
was a broad investigation of basic room airflow configuration options. The
second stage involved investigating detailed areas of airflow over critical
product and material transfer locations where contamination control and regulatory
compliance was essential. The two stage approach was adopted because it is
difficult to predict all the issues and problems that will arise until some
overall modeling has been developed, the solution run, and the data evaluated.
This approach also reveals another advantage of airflow modeling — it
is possible and often advantageous to look at a simplified representation of
the macroscopic room level issues, as well as the more detailed flows around
specific areas of interest. Conventional "Rule of Thumb" analysis
of a conceptual design capable of achieving the required cleanliness classes
above suggested that the corridor should have a filtered ceiling to
achieve unidirectional airflow. The use of airflow modeling, however, allowed
investigation into alternative methods of introducing air into the space.
Figure 1 shows the airflow modeled with a filtered ceiling across the full
width of the corridor. The visualization technique shown is akin to a smoke
test on a physical mock-up, but with three advantages. First, the computational
smoke can be given a lifetime so that the room does not fill-up with smoke
as it would do on a physical model. Second, the visualization can be colored
according to parameters such as air speed, temperature, contamination level,
etc. In the figures shown, the smoke is actually colored accordingly to y-
(vertical component) velocity, with the color scale indicating downward direction
velocities of >1m/s in blue and horizontal or upward flow >0m/s in red.
ACTIVITY
CLEANLINESS CLASSIFICATION
CLEANLINESS STANDARD
At Rest
In Operation
Aseptic filling of vials
100/M3.5/M3.5
ISO 5
Grade A
100/M3.5/M3
ISO 5
Grade A
US Fed Std 209E
EN/ISO (FDIS)
14644-1
EC GMP Annex 1
vol. iv
Transport vials to Lyophiliser
100/M3.5
ISO 5
Grade A
100/M3.5
ISO 5
Grade A
US Fed Std 209E
EN/ISO (FDIS)
14644-1
EC GMP Annex 1
vol. iv
Loading vials into Lyophiliser
100/M3.5
ISO 5
Grade A
100/M3.5
ISO 5
Grade A
US Fed Std 209E
EN/ISO (FDIS)
14644-1 EC GMP Annex 1
vol. iv
Unloading vials from Lyophiliser
100/M3.5
ISO 5
Grade A
100/M3.5
ISO 5
Grade A
US Fed Std 209E
EN/ISO (FDIS)
14644-1
EC GMP Annex 1
vol. iv
Transport vials to oversealing
100/M3.5
ISO 5
Grade A
100/M3.5
ISO 5
Grade A
US Fed Std 209E
EN/ISO (FDIS)
14644-1 EC GMP Annex 1
vol. iv
Room surrounding the Aseptic processes
100/M3.5
ISO 5
Grade B
10,000
ISO 7
Grade B
US Fed Std 209E
EN/ISO (FDIS)
14644-1
EC GMP Annex 1
vol. iv
Finally, this type of visualization can be done without the need for a physical
mock-up of the space. This means that it is inexpensive and quick to do even
at the conceptual stage of the design. With this design, a small recirculation
region of air just in from of the top half of the lyophiliser was noticed.
This was caused by air hitting the top of the lyophiliser and "bouncing" forming
this vortex.
A profiled top was added to the lyophiliser and a plate installed in front
of the unit to eliminate this recirculation as shown in Figure 2. With this
modification, the transporter corridor was now satisfying the necessary standards.
However, in many ways this design would have been unsatisfactory to the end
user, especially in terms of running costs associated with the enormous volume
of air being introduced into the space.
In an effort to reduce the volume of air, the room was divided in half with
unidirectional airflow down over the critical interface region where the vials
were transferred from the transporter into the lyophiliser. Figure 3 shows
that, as expected, a large vortex formed above the transporter on the left-hand
side of the corridor. This could have a detrimental effect on residence time
of any contamination in the space and was therefore unsatisfactory. A dividing
curtain was therefore placed down the center of the room and a perforated plate
added to the non-critical zone on the left hand side of the corridor. Figure
4 shows how this improved the situation. The total volume of air was reduced
by almost half along the length of the transporter corridor.
Design Optimization
These examples form just a small part of a quite comprehensive airflow modeling
analysis of this particular space. The study enabled the following essential
elements of the design to be optimized:
Reduction of the unidirectional flow clean-zone area by 50%. which enabled
the total air volume required to ensure the correct clean-room cleanliness
classes to be reduced by approximately 40% with the consequent significant
saving of energy consumption.
Selection of the correct type of diffuser in the non-unidirectional flow
zone to ensure that the critical airflow is not disrupted.
Resolution of basic dimensions required inside the vial transport system
to avoid airflow updraft and vortex generation during vial transfer to/from
the lyophiliser.
Design of the lyophiliser door to minimize turbulence caused by the obstructions
on the face of the door.
Impact of location and air balance of the low-level room exhaust grilles.
Supply air temperature effect on the airflow. The use of airflow modeling
software enabled them to predict the behavior of the room airflow patterns
exactly, even at the concept stage. It provided a clear guide to where
to focus testing effort during HVAC system commissioning and allowed the
model to be
stored for any future design changes. Modifications could be made earlier
in the design process with confidence of satisfying relevant standards.
Andrew Manning, Ph.D. is Director of Thermal Engineering at Flomerics,Inc.,4
Mount Royal Ave.,Suite 450,Marlborough,MA 01752. He can be reached at 508-357-2012
x124 or andy.manning@ flomerics.com. Andrew Manning obtained his B.Eng in Mechanical
Engineering at the University of Nottingham in 1991,and his Ph.D.from the same
university in 1994.He joined the UK office of Flomerics Ltd in 1994 as a Consultant
Engineer,and transferred to the MA,US office in January 1997.
Flomerics provides software enabling engineers to test virtual models of their
equipment by computer simulation before building physical prototypes.