GITNUXSOFTWARE REVIEW
Manufacturing & EngineeringTop 10 Best Blower Selection Software of 2026
Compare blower selection software options for fans and blowers, with tradeoffs and use cases for engineers reviewing tools like Kaeser’s selection tool.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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WebFAN is the best choice for teams needing repeatable centrifugal blower selections with report-ready documentation, because its deliverable ties the operating point inputs to the resulting performance evidence in one place. If you need Kaeser-specific model comparisons, the Kaeser Blower Selection Tool is a strong alternative since its duty-point workflow maps required flow and pressure rise to Kaeser fan curve operating points.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
WebFAN
Report generation ties the selected operating point to the resulting performance evidence in one deliverable.
Best for: Fits when teams need repeatable centrifugal blower selections with report-ready outputs.
DeKalb Blower Software
Editor pickSelection reporting that ties the chosen fan back to the calculated operating point on the performance curve.
Best for: Fits when teams need consistent centrifugal blower selections and documented reports across repeated designs.
Kaeser Blower Selection Tool
Editor pickDuty-point selection report ties required flow and pressure rise to Kaeser fan curve operating points for model comparison.
Best for: Fits when application engineers need repeatable blower operating-point selection and report outputs using Kaeser performance data.
Comparison Table
WebFAN
SMBWeb-based fan selection software using fan affinity laws and ASHRAE/AMCA-recognized algorithms.
Report generation ties the selected operating point to the resulting performance evidence in one deliverable.
WebFAN is a blower selection tool focused on producing centrifugal blower selection outcomes with published performance and sizing inputs. It supports setting a duty operating point, building a system resistance approach, and extracting fan curve behavior to support duty-point selection.
Selection outputs are organized as a repeatable selection report for submittals and internal review. The software is most effective when projects reuse the same blower families and operating assumptions across multiple revisions.
- +Selection reports consolidate operating point inputs and performance outputs
- +System resistance driven selection helps align the operating point to fan curve
- +Repeatable configuration supports faster reruns during design iterations
- +Blower family comparison stays grounded in the selected performance data
- –Fewer customization hooks limit workflows that need bespoke calculation steps
- –Collaboration controls for distributed reviews are limited compared with enterprise stacks
HVAC engineering teams
Select centrifugal blower for duct system
Faster submittal-ready sizing
Facilities engineering leads
Standardize blower families across revisions
Reduced rework across cycles
Best for: Fits when teams need repeatable centrifugal blower selections with report-ready outputs.
DeKalb Blower Software
SMBDownloadable fan and blower selection application covering standard sizes, configurations, and specifications.
Selection reporting that ties the chosen fan back to the calculated operating point on the performance curve.
DeKalb Blower Software supports centrifugal blower selection by driving an operating point from volumetric flow rate and pressure rise inputs and then checking where the fan curve lands. The output can be packaged as a selection report that documents the chosen fan and performance at the duty point. Teams usually get the most value when they standardize input conventions and reuse similar system resistance curve assumptions across jobs.
A tradeoff appears when duty points fall outside the performance envelope the tool expects, because recalibration of inputs can require manual iteration. DeKalb Blower Software fits best for repeatable selections where the same facility constraints and intake density assumptions appear across a series of designs.
- +Duty-point to fan-curve mapping is built into the selection workflow
- +Selection reports provide documentation for internal technical signoff
- +Repeatable inputs speed up successive centrifugal blower selections
- +Iterative tuning supports quick what-if runs for operating conditions
- –Coverage can feel narrow when selections require atypical configurations
- –Results can require multiple input iterations when the duty point shifts
HVAC engineering teams
Sizing centrifugal blower duty points
Faster fan selection cycles
Facilities mechanical designers
Standardizing selections across projects
More consistent procurement packages
Show 1 more scenario
Industrial maintenance groups
Replacement fan matching
Lower replacement selection risk
Maintenance teams run selection inputs close to the installed duty and document the match.
Best for: Fits when teams need consistent centrifugal blower selections and documented reports across repeated designs.
Kaeser Blower Selection Tool
enterpriseKaeser Compressors offers an online blower and compressed air selection tool for rotary lobe and screw blower products.
Duty-point selection report ties required flow and pressure rise to Kaeser fan curve operating points for model comparison.
Kaeser Blower Selection Tool routes inputs into a duty-point check that targets the intersection of system resistance and fan curve behavior, which supports practical operating point verification during early design. The output format is oriented to procurement and coordination needs, with a selection summary that helps teams compare candidate blower models and associated power requirements.
A tradeoff appears when designs fall outside Kaeser families or when project teams need a heavy systems-level workflow across many assets, since the tool remains anchored to its manufacturer dataset. Best fit shows up when application engineers iterate on operating point targets for a small set of candidate blowers and need repeatable report outputs for internal review.
- +Outputs selection reports aligned to Kaeser blower families
- +Duty-point workflow maps flow and pressure rise to fan curves
- +Supports motor and drive sizing alongside blower selection
- +Produces consistent candidate comparisons from repeatable inputs
- –Limited to Kaeser blower families and their provided performance assumptions
- –Deep API and provisioning workflows are not exposed in the tool UI flow
- –Less suitable for cross-manufacturer staging and parallel blower design
- –Advanced acoustics and controls selection require extra engineering steps
Application engineers
Select blower for specified duty
Faster model shortlisting
Engineering procurement teams
Generate documentation for bids
Clearer bid packages
Show 1 more scenario
Mechanical designers
Size drive and power needs
Reduced sizing rework
Designers use tool outputs to align motor sizing steps with the chosen blower duty point.
Best for: Fits when application engineers need repeatable blower operating-point selection and report outputs using Kaeser performance data.
ZIEHL-ABEGG FANselect
enterpriseTÜV-certified selection software for axial and centrifugal fans using performance data from the ZIEHL-ABEGG InVent Technology Centre.
Manufacturer-anchored curve selection with report-ready duty conditions tied to chosen fan and motor combinations.
ZIEHL-ABEGG FANselect fits teams that need consistent blower selections tied to a specific manufacturer catalog, especially when projects include repeatable internal review steps. The workflow centers on selecting a fan based on required volumetric flow rate and pressure rise, then checking the chosen option against relevant operating conditions. Selection outputs are delivered as reports that can be reused in internal submittals.
- +Selection reports align to manufacturer-specific fan performance curves
- +Iterative operating point refinement reduces manual curve comparisons
- +Motor and fan pairing guidance supports practical sizing decisions
- +Repeatable workflow helps standardize internal blower selection reviews
- –Catalog focus limits fit for cross-manufacturer comparisons
- –Complex project boundary conditions can require external handling
- –Advanced staging scenarios may need manual interpretation beyond the UI
- –Automation depends on what the deployment form supports
Mechanical engineering teams
Duty-point fan sizing and reporting
Faster approvals with fewer revisions
HVAC design contractors
Standardized fan substitutions during redesign
Consistent submittal documentation
Show 1 more scenario
Industrial facilities engineering
Upgrade planning for existing blower systems
Reduced risk in retrofit selections
Engineers validate replacement fan choices against required system resistance targets and operating conditions.
Best for: Fits when Ziehl-Abegg fans must be sized fast for duty-point selections and internal reporting consistency.
Atlas Copco Blower Selection Tool
enterpriseAtlas Copco provides online blower selection support for low-pressure air applications.
Selection reports tailored to Atlas Copco blower families using duty constraints to land an operating point.
Atlas Copco Blower Selection Tool calculates blower sizing from specified duty conditions and converts those inputs into a fan operating point across candidate blower configurations. The tool supports system behavior inputs such as pressure and flow constraints and produces a selection report suitable for engineering documentation.
- +Duty-point based blower sizing with direct operating point outputs
- +Engineering-ready selection report format for documentation handoff
- +Product-family oriented candidates reduce decision noise for Atlas Copco models
- +Clear input fields for pressure rise and volumetric flow rate targets
- –Limited cross-vendor comparison because candidate set stays within Atlas Copco offerings
- –Less transparent handling of advanced system modeling beyond basic constraints
- –Export and integration options are not oriented around automated workflows
- –Scenario comparisons require manual re-entry rather than a built-in batch mode
Mechanical engineers
Size blower from pressure and flow constraints
Comparable operating-point results
Project engineering groups
Prepare selection reports for submittals
Consistent selection documentation
Best for: Fits when teams need repeatable blower sizing and reports within Atlas Copco model families.
IB International Build Your Fan
vertical specialistOnline centrifugal fan selection tool covering backward inclined, airfoil, and high-pressure designs up to 85 in. WG.
Report-oriented blower sizing workflow that keeps operating-point iterations tied to a consistent selection output format.
IB International Build Your Fan targets teams that size centrifugal blower selections from inlet conditions to a duty-point and then need the result packaged as a selection report. Its core workflow centers on choosing an operating point using fan and system constraints, then iterating until the fan curve behavior matches the duty requirements.
- +Workflow ties blower operating conditions to a structured selection output
- +Iteration speed supports repeated duty-point refinements
- +Outputs can be reused across similar projects to keep selections consistent
- +Clear constraints for pressure rise and volumetric flow rate inputs
- –Limited evidence of automation options beyond manual runs
- –Narrow focus can require external work for complex staging layouts
- –Parameter coverage is not as deep for edge-case blower geometries
- –Export and integration paths are not geared for API-driven governance
Engineering calculation teams
Iterate duty match using fan curves
Correct duty-point alignment
Industrial ventilation designers
Validate variant pressure rise changes
Faster variant evaluations
Best for: Fits when mechanical design teams need repeatable centrifugal blower duty-point sizing and report-ready outputs for similar projects.
Horton Fan Selector
SMBWeb-based fan selector covering diameter, volume, pressure, temperature, and altitude conditions.
Instant duty-point mapping to fan curves that helps converge on a passing operating range without complex modeling steps.
Horton Fan Selector performs centrifugal and other fan selection by turning design flow and pressure targets into a workable fan operating point with performance curve guidance. The workflow focuses on picking a blower that matches the duty point and produces a selection report suitable for internal review.
- +Duty-point driven selection that maps targets to fan curves quickly
- +Selection reports include key computed inputs used during fan sizing
- +Revision-friendly workflow for iterating fan candidates against one duty
- +Supports inlet condition inputs and correction factors for sizing
- –Limited coverage for advanced staging and system arrangement cases
- –API and automation surface are not clearly documented for batch workflows
- –Export formats for integration into engineering document pipelines are basic
- –Few controls for managing model versions across teams
Commercial HVAC designers
Find fan operating point quickly
Quicker operating-point selection
Systems engineers
Apply inlet conditions and correction factors
More accurate selection
Best for: Fits when design teams need quick blower operating-point selection and report output for standard HVAC and ducted applications.
TLT Turbo Fan Selection
enterpriseTLT Turbo provides fan and blower selection software for large-scale industrial ventilation and process air applications.
Duty-point based selection reporting that links system pressure rise inputs to the chosen fan configuration.
TLT Turbo Fan Selection focuses on centrifugal blower selection workflows tied to turbo-relevant performance needs, with fan curve handling and operating-point outputs as central artifacts. The tool targets engineering deliverables by producing a selection report that maps duty pressure rise and volumetric flow rate to a compatible fan configuration.
- +Selection reports tie the duty point to fan curve results
- +Handles inlet air density effects for off-nominal conditions
- +Produces motor and drive sizing outputs from the selected operating point
- +Good fit for repeat projects with consistent requirement templates
- –Less transparent automation and API surface for external systems
- –Setup time increases when duty conditions vary widely across cases
Turbo equipment engineers
Select centrifugal blower for turbo duty needs
Duty-fit fan configuration
Process air design teams
Adjust for density and compressibility differences
More realistic performance
Best for: Fits when blower engineers need repeatable centrifugal fan selections with clear duty-point reporting for documentation.
Tuthill Blower Selection
vertical specialistTuthill provides blower sizing and selection software for positive displacement blowers used in pneumatic conveying and aeration.
Selection report generation built around Tuthill blower families and duty-point outputs.
Tuthill Blower Selection is a blower selection tool tied to Tuthill product line sizing, performance mapping, and report generation for centrifugal and positive displacement applications. It focuses on finding a blower operating point that satisfies a specified volumetric flow rate and pressure rise, then producing a selection report that can be shared with internal review and purchasing workflows.
- +Duty-point selection workflow matches common blower specification inputs
- +Selection report output supports internal review and procurement handoff
- +Covers multiple blower types aligned to real Tuthill hardware families
- +Configuration inputs remain focused on sizing rather than unrelated modeling
- –Limited cross-vendor comparison depth versus more general selection suites
- –Automation and API access are not a prominent part of the product experience
- –Depth of advanced performance corrections is less obvious than in specialist tools
- –Design variants beyond Tuthill catalog options are constrained
Process air designers
Select Tuthill blower by flow and pressure rise
Meeting duty targets
Ventilation project managers
Generate repeatable selection reports
Fewer selection disputes
Best for: Fits when teams need repeatable operating-point blower selections for Tuthill hardware.
FanMechanics Centrix
enterpriseCentrifugal fan selection and design program enabling manufacturers to select, design, cost, and quote fans.
Centrix turns system inputs into a consistent, report-ready centrifugal selection package tied to operating point outputs.
FanMechanics Centrix focuses on centrifugal blower selection workflows and converts system inputs into fan duty points with a generated selection report. It provides a structured path from operating conditions to component-level sizing outputs, including performance map handling for common centrifugal configurations.
- +Structured centrifugal selection flow from duty input to report outputs
- +Report generation supports consistent documentation for repeated selections
- +Performance map handling supports practical operating point comparison
- +Batch-style selection across multiple duty points reduces manual recalculation
- –Positive displacement blower selection coverage is not its strongest area
- –Limited explicit support for advanced multistage centrifugal staging cases
- –API and automation surface is not the focus compared with developer-first tools
- –Extensibility depends more on configuration than deep integration
Engineering teams with many duties
Batch-select centrifugal blowers for multiple points
Higher throughput selection
Component sizing analysts
Produce structured component-level sizing outputs
Clear sizing traceability
Best for: Fits when teams need repeatable centrifugal blower selections with report-ready documentation across many duty points.
Conclusion
After evaluating 10 blower selection software, WebFAN stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Frequently Asked Questions About Blower Selection Software
Which blower selection tool is best for duty-point mapping against manufacturer fan curves?
How do Kaeser Blower Selection Tool and WebFAN handle operating-point outputs for internal documentation?
When teams need faster iteration across revisions, where does FANselect compare to WebFAN?
What breaks if inlet air density or correction assumptions are handled inconsistently between tools?
Which tool is better for centrifugal selections where the selection output must be packaged for engineering signoff review?
How do Atlas Copco Blower Selection Tool and Tuthill Blower Selection handle catalog scope when comparing options?
When automation is required, which tools expose exportable outputs that fit downstream workflows?
Which tool supports broader engineering input sets like system constraints rather than just design flow and pressure targets?
How do Centrix and Kaeser Blower Selection Tool differ when many duty points must be generated under consistent output format?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
How to Choose the Right Blower Selection Software
We see the biggest separation in blower selection software around how it handles blower selection inputs, how the results are validated against your system, and how reliably it exports a decision you can reuse. When you compare tools, focus on the selection workflow quality, result transparency, and configuration control.
Input coverage for blower and system
Why it matters
If input coverage for blower and system is thin, you end up approximating your actual setup or re-entering data between runs. For this category, that directly affects selection consistency and engineering time.
How to check
On a demo, ask them to import a typical project dataset and map fields end-to-end (blower specs, operating requirements, enclosure/system context). Then run a selection and confirm which fields are required vs optional, and whether missing values trigger defaults you can review.
Assumptions and correction visibility
Why it matters
With assumptions and correction visibility, we can see what the tool inferred or adjusted and whether that matches your engineering intent. Hidden assumptions make results hard to defend and hard to reproduce.
How to check
Ask for a results screen that lists assumptions used in the calculation, including how corrections are applied when inputs don’t match. Then generate two runs where one input changes slightly and confirm which assumptions change (and why) in the trace.
Reproducible results with versioning
Why it matters
Reproducible results with versioning matter when engineering teams iterate quickly and need the same selection outcome later. Without versioning, small edits to configuration can invalidate past decisions.
How to check
In the demo, try running a selection, then edit one configuration parameter (such as an input tolerance or model setting) and run again. Check whether the tool creates a new version tied to inputs/assumptions and whether you can open the prior version and reproduce the same outputs.
Exportable selection decision packages
Why it matters
Exportable selection decision packages reduce handoff friction from software to documents and procurement. In blower selection work, teams need exports that capture inputs, assumptions, and the final recommendation in a consistent package.
How to check
Ask to export a single selection run into a common artifact format (for example, PDF plus a data file). Confirm it includes a clear summary of what was selected, the key calculation notes, and a way to rerun or trace back to the same inputs.
Automation and API access for batch runs
Why it matters
Automation and API access for batch runs matter when you evaluate many blower options, revisions, or sites. In this category, batch workflow control is what turns selection into a repeatable process.
How to check
Ask whether the tool supports automation via an API or scripted runs, and then propose a batch scenario (e.g., run 20 datasets with shared parameters). In the demo, verify you can trigger runs, ingest results, and keep a structured record of run inputs and outputs.
Red flags
- They require you to manually retype key parameters each run
- Results show numbers but not the underlying assumptions
- You can’t view or restore the exact prior run settings
Fit by situation
- If your projects use varied blower types and trims, prioritize input coverage for blower and system.
- If you need defensible calculations for internal review, prioritize assumptions and correction visibility.
- If your team runs frequent revision cycles, prioritize reproducible results with versioning.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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