How to Select Tower Packing When Process Data Is Incomplete
In real tower-packing projects, engineers rarely receive complete information at the beginning.
A customer may provide:
tower diameter;
existing packing photos;
application name;
process medium;
previous packing model;
basic operating information.
But important engineering data may still be missing, such as:
gas flow;
liquid flow;
operating pressure;
temperature;
fluid properties;
packing height;
allowable pressure drop.
This creates a common engineering question:
Can tower packing selection start when the available project data is incomplete?
The answer is:
Yes, preliminary screening can still begin — but the selection stage and the engineering certainty must be clearly separated.
The DAIER Tower Packing Engineering Assistant is designed to help organize available information, identify missing inputs and support preliminary packing evaluation before detailed engineering confirmation.
[Use the DAIER Tower Packing Engineering Assistant → https://www.pxdaier.com/tower-packing-engineering-assistant.html]
Preliminary Selection Is Different from Final Design
Incomplete project data does not always mean the project must stop.
In the early stage, engineers often need to answer:
What packing direction should be considered?
Which materials may be suitable?
What additional information is required?
Is the existing packing likely to be replaced?
What questions should be included in the RFQ?
These are preliminary engineering decisions.
They are different from:
final hydraulic rating;
guaranteed pressure drop;
flooding calculation;
final packing size confirmation;
complete tower-internals design.
A useful engineering workflow is:
Available Data
↓
Preliminary Screening
↓
Missing Data Identification
↓
Engineering Confirmation
↓
Final Specification / RFQ
1. Start with the Information You Actually Have
When data is incomplete, do not begin by guessing missing values.
Instead, separate the information into three categories:
Confirmed Data
Examples:
tower diameter;
application;
existing packing type;
material requirement;
operating temperature.
Estimated Data
Examples:
approximate flow rate;
expected service condition;
possible packing height.
Missing Data
Examples:
liquid loading;
gas velocity;
pressure drop requirement;
fluid viscosity.
This prevents assumptions from becoming hidden design inputs.
2. What Can Be Evaluated with Incomplete Data?
Even without complete process information, some engineering questions can still be reviewed.
Application Direction
For example:
absorption;
stripping;
gas scrubbing;
distillation;
environmental treatment.
Different applications may require different packing considerations.
Material Direction
Based on:
temperature;
corrosion;
chemical compatibility;
engineers may initially consider:
PP;
PE;
PVDF;
metal;
ceramic.
Material screening is often possible before complete hydraulic information is available.
Packing Structure Direction
The project may begin evaluating:
random packing;
structured packing.
The decision depends on factors such as:
pressure-drop priority;
fouling tendency;
mass-transfer requirements;
tower size.
3. What Data Usually Causes the Biggest Selection Changes?
Not all missing information has the same importance.
Some missing inputs can significantly change the packing recommendation.
Gas Flow
Gas flow affects:
gas velocity;
hydraulic loading;
pressure-drop evaluation;
flooding margin.
Without gas flow, final hydraulic review is limited.
Liquid Flow
Liquid loading affects:
wetting;
mass transfer;
hydraulic behavior;
distributor requirements.
Tower Diameter
Tower diameter affects:
cross-sectional area;
gas velocity;
packing-size suitability;
quantity.
For unknown diameter situations:
[Tower Packing Selection When Tower Diameter Is Not Yet Known → Internal Link]
Temperature and Pressure
These affect:
gas density;
liquid properties;
material suitability;
process behavior.
4. Do Not Select Packing Only from the Application Name
A common mistake is:
“This is an absorber, so use this packing.”
The same application may contain very different operating conditions.
For example:
A gas scrubber may involve:
clean gas service;
heavy solids;
corrosive chemicals;
high liquid circulation;
low-pressure-drop requirements.
The correct packing choice depends on the actual engineering variables.
Application is the starting point, not the final answer.
5. How the DAIER Engineering Assistant Helps with Missing Data
The Engineering Assistant does not create missing engineering information.
Instead, it helps organize:
available project inputs;
selection priorities;
preliminary packing direction;
required next information.
This creates a more efficient engineering conversation.
For example:
Instead of sending:
Please recommend packing.
A better request becomes:
Preliminary review indicates PP random packing may be suitable. Please confirm based on gas flow, liquid loading and required pressure-drop limits.
The second request gives engineers a clearer basis.
6. What Happens When Only Existing Packing Information Is Available?
This is common in replacement projects.
Customers may provide:
old photos;
old quotation;
packing dimensions;
tower drawing;
previous supplier information.
The first task is not always selecting new packing.
The first task may be:
identify existing packing;
understand current problems;
determine replacement objectives.
Typical questions:
Is pressure drop increasing?
Is capacity insufficient?
Is fouling occurring?
Is corrosion damaging the packing?
Is performance below expectation?
For replacement projects:
[How to Use the DAIER Tower Packing Engineering Assistant for an Existing Tower Replacement → Internal Link]
7. Missing Data Does Not Mean Asking for Everything Immediately
A common supplier mistake is sending customers a very long data request at the beginning.
Engineers should prioritize the information that changes the decision most.
A practical sequence:
First Stage
Collect:
application;
tower diameter;
packing type;
material;
operating temperature;
basic flow information.
Second Stage
Collect:
pressure;
fluid properties;
packing height;
performance requirements.
Third Stage
Confirm:
hydraulic limits;
internals;
detailed specification.
This makes communication more efficient.
8. How to Handle an Incomplete RFQ
An incomplete RFQ should not simply be rejected.
Instead, identify:
Available
Example:
Tower ID: 1500 mm
Service: H₂S scrubber
Existing packing: PP Pall Ring
Missing
Example:
Gas flow
Liquid flow
Bed height
Required Clarification
Example:
Is the project replacement or new tower?
Is pressure drop a critical limitation?
Is fouling present?
This transforms an incomplete inquiry into an engineering discussion.
For RFQ preparation:
[How to Prepare a Tower Packing RFQ with the DAIER Engineering Assistant → Internal Link]
9. Common Mistakes When Data Is Incomplete
Mistake 1 — Guessing Missing Values
Example:
Assuming gas flow because the tower size is known.
Why it fails:
Tower size alone does not determine hydraulic performance.
Mistake 2 — Selecting Only by Product Name
Example:
“The customer needs Pall Ring, so quote Pall Ring.”
Why it fails:
The application may require different materials, sizes or structures.
Mistake 3 — Ignoring Fouling
A clean-service packing choice may not work in a fouling environment.
Mistake 4 — Treating Preliminary Selection as Final Design
A preliminary recommendation is not the same as:
hydraulic guarantee;
approved specification;
final tower design.
10. Example: Incomplete Scrubber Project
Available information:
Application: Acid gas scrubber
Tower diameter: 1800 mm
Temperature: 50°C
Existing packing: PP random packing
Problem: High pressure drop
Missing:
Gas flow
Liquid flow
Packing height
Current pressure drop
A useful preliminary workflow:
Step 1
Identify that pressure drop is the main concern.
Step 2
Review possible packing directions.
Step 3
Request missing hydraulic data.
Step 4
Use the Engineering Assistant after key inputs are available.
The goal is not to immediately select a product.
The goal is to make the next engineering decision clearer.
11. When Is Detailed Engineering Required?
Move beyond preliminary screening when the project requires:
exact pressure drop;
flooding margin;
capacity increase evaluation;
guaranteed performance;
final packing size;
distributor design;
tower internals review.
At this stage, additional process and engineering calculations may be necessary.
12. A Practical Workflow for Engineers
Step 1
Collect available project information.
Step 2
Separate confirmed and missing data.
Step 3
Use the Engineering Assistant for preliminary screening.
Step 4
Identify critical missing inputs.
Step 5
Request only the information that affects the decision.
Step 6
Update the engineering evaluation.
Step 7
Prepare the technical specification and RFQ.
This workflow avoids both extremes:
stopping the project because information is incomplete;
pretending incomplete information is enough for final design.
13. What Information Should Be Prepared Before Final Quotation?
For a more complete tower packing quotation, prepare:
Tower Data
internal diameter;
packed height;
number of beds;
tower drawing if available.
Process Data
gas flow;
liquid flow;
temperature;
pressure;
fluid composition.
Packing Requirement
packing type;
material;
size;
quantity;
replacement or new installation.
Project Requirement
pressure-drop limitation;
performance target;
delivery requirement;
required documents.
Quick Answer
Can tower packing selection start with incomplete data?
Yes, for preliminary screening.
Can final packing selection be confirmed without key process data?
Usually no.
Should missing information be guessed?
No.
What should happen first?
Identify what is known, what is missing and what decision each missing item affects.
What is the role of the DAIER Engineering Assistant?
To organize project information, support preliminary screening and guide the next engineering step.
From Incomplete Data to Engineering Decision
The best workflow is:
Incomplete Project Information
↓
DAIER Engineering Assistant
↓
Preliminary Screening
↓
Missing Data Identification
↓
Engineering Review
↓
Technical Specification
↓
RFQ
The purpose of an engineering tool is not to hide uncertainty.
It is to make uncertainty visible and help engineers move toward the correct decision.
Specs and test data available upon request.