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thermodynamic-model-selector

thermodynamic-model-selector

Automated thermodynamic property method selection based on component characteristics and operating conditions

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Skill documentation

GitHub

name: thermodynamic-model-selector description: Automated thermodynamic property method selection based on component characteristics and operating conditions allowed-tools:

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  • Bash metadata: specialization: chemical-engineering domain: science category: Process Simulation skill-id: CE-SK-003 graph: domains: [domain:chemical-engineering] skillAreas: [skill-area:physics-simulation, skill-area:mathematical-reasoning, skill-area:statistical-analysis] workflows: [workflow:experiment-design] roles: [role:research-engineer, role:computational-scientist]

Thermodynamic Model Selector Skill

Purpose

The Thermodynamic Model Selector Skill guides selection of appropriate thermodynamic property methods based on component characteristics, operating conditions, and accuracy requirements.

Capabilities

  • Component analysis (polarity, association, electrolytes)
  • Operating condition assessment
  • Property method recommendation
  • Binary interaction parameter fitting
  • VLE/LLE data regression
  • Model validation against experimental data
  • Uncertainty quantification

Usage Guidelines

When to Use

  • Selecting property methods for simulation
  • Fitting interaction parameters
  • Validating thermodynamic models
  • Assessing model uncertainty

Prerequisites

  • Component list defined
  • Operating ranges specified
  • Experimental data available
  • Accuracy requirements known

Best Practices

  • Consider all phase equilibria
  • Validate with experimental data
  • Document model selection rationale
  • Assess sensitivity to parameters

Process Integration

This skill integrates with:

  • Process Simulation Model Development
  • Distillation Column Design
  • Crystallization Process Design

Configuration

thermodynamic-model-selector:
  model-categories:
    - equation-of-state
    - activity-coefficient
    - specialized
  data-sources:
    - DECHEMA
    - NIST
    - DIPPR

Output Artifacts

  • Model selection reports
  • Parameter fitting results
  • Validation comparisons
  • Uncertainty assessments
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