Parameter
Flow coefficient
Supports comparison of compressor flow behavior across different operating states.
CMap Technology
Engineering-grade prediction for centrifugal compressor performance
CMap combines thermodynamic modeling, compressor similarity principles and OEM reference maps to predict centrifugal compressor behavior under real operating conditions.
Reference mapsOEM or shop-test performance data as the starting point.
Gas thermodynamicsProcess gas properties evaluated at the actual inlet conditions.
Off-design outputExpected maps and values calculated for the conditions that matter.
Core engine
A physics-based transformation engine
CMap transforms compressor performance maps from reference conditions to actual or forecasted operating conditions, enabling condition-consistent evaluation of machine performance.
The software does not simply compare field measurements with design maps. It first recalculates the expected compressor behavior for the same inlet gas composition, suction pressure and suction temperature used for the analysis.
OEM reference performance
Performance maps and curves define the original compressor behavior at known reference conditions.
Gas and inlet state
Gas composition, inlet pressure and inlet temperature define the thermodynamic state for the calculation.
Aero-thermodynamic model
CMap builds a machine model and recalculates expected behavior in the new operating condition.
Condition-consistent prediction
Predicted maps become the correct reference for field comparison, diagnostics and decision support.
Reference model
From reference maps to machine behavior
Starting from compressor performance data in reference operating conditions, CMap builds a model that captures the characteristic behavior of the machine. This model is the invariant basis used to predict performance under different inlet conditions.
Flow
Pressure
Head
Efficiency
Power
Thermodynamics
Advanced gas property modeling
Compressor performance is strongly dependent on gas properties and inlet thermodynamic state. CMap supports multiple equations of state to model real process gases across different operating scenarios.
Lee-Kesler
Peng-Robinson
GERG2008
MBWR / R134a
Gas composition matters
Variations in molecular weight, compressibility and thermodynamic properties can significantly change the compressor expected performance. CMap accounts for these effects before any comparison with field data.
- Gas mixture definition
- Suction pressure and temperature input
- Thermodynamic property calculation
- Expected off-design performance output
Similarity principles
Consistent prediction across operating conditions
CMap uses compressor similarity principles to maintain engineering consistency between reference and off-design conditions.
Parameter
Head coefficient
Supports consistent transformation of compressor work and head-related performance.
Parameter
Mach number
Accounts for compressibility effects that can be relevant in centrifugal compressor performance prediction.
The same engineering framework is coherent with the similarity and corrected-performance approach used in compressor performance testing standards such as ASME PTC 10, which covers thermodynamic performance evaluation for axial and centrifugal compressors under specified gas conditions.
Calculated output
New performance maps at the conditions that matter
Once the new operating condition is defined, CMap calculates the expected compressor maps and performance values. These predicted results become the correct benchmark for measured field data, forecasted scenarios or engineering studies.
See the workflow
Engineering outputs
From prediction to diagnostics
CMap outputs are designed to support quantitative compressor performance evaluation, not subjective interpretation.
01
Predicted maps
Expected curves calculated for actual or forecasted inlet conditions.
02
Measured vs expected
Objective comparison between field data and the correct reference performance.
03
Deviation analysis
Quantitative indication of efficiency loss, anomalies or possible instrumentation issues.
04
Reports
Graphical and numerical outputs for documentation, maintenance and engineering decisions.
Technology principle
Reliable diagnostics start with reliable prediction.
By transforming reference performance to the correct operating conditions, CMap gives compressor analysts a consistent technical basis for diagnostics, optimization and decision-making.