Multivariate Sensitivity Study
to know your process

What is Multivariate Sensitivity Study?

Multivariate Sensitivity Study calculates the multidimensional solution space (hypercube) of a CHEMCAD or a DWSIM flowsheet simulation. The number of input parameters can be increased freely to widen the solution space.

For a fast calculation, Multivariate Sensitivity Studies are calculated on a cluster of CHEMCAD / DWSIM instances.

 

It is for every engineer to visualize solution spaces and pareto fronts for multi-objective optimization problems to support decision making.

Why use the Multivariate Sensitivity Study?

Cover large solution spaces

You analyze the entire solution space with full factorial or space-filling designs

Apply constraints with filters

You discover parameter dependencies and dimension reductions using big data analytics

Find pareto-optimal solutions

You visualize solution spaces and pareto fronts for multi-objective optimization problems

Discover MSS on DASHBOARD

How sensitive is your process to
parameter changes?

Learn more from our use cases

Use Case 1

Optimization of a Batch Distillation for Solvent Recovery

Objectives and Constraints

Set-Up

Results

Challenges

  • Minimize energy demand
  • Minimize operation time
  • Maximize product yield
  • Product concentration as a constraint
  • Five design variables
  • Equidistant grid (per variable)
  • 78.125 flowsheet calculated (mass transfer batch column simulation)

Increased the solvent recovery efficiency

  • 74% energy saving
  • 4.5 h reduction in operation time
  • 7% increase in product yield
  • Infeasible design specifications cause convergence problems
  • Due to product accumulation, product specifications must be given indirectly as design specifications 
  • The correlation of design and state variables are not obvious

Use Case 2

Distillation of an Ethanol-Water Mixture

Objectives and Constraints

Set-Up

Results

  • Maximize product yield
  • Minimize energy demand
  • Product concentration as a constraint
 
  • Two design variables
  • Equidistant grid (per variable)
  • 9.550 flowsheet calculated (SCDS)

Understand the correlations between variables

Flowsheet (CHEMCAD)

Flowsheet (DWSIM)

Interactive Data Explorer

Use the sliders on the report below to apply limitations!

Observe the relationship between variables.

Check the sensitivities by varying:
  • EtOH fraction
  • Distillate rate
  • Reboiler duty

Know more about your process
and make better decisions