Agent skill

thermodynamic-model-selector

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

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/chemical-engineering/skills/thermodynamic-model-selector

Metadata

Additional technical details for this skill

domain
science
category
Process Simulation
skill id
CE-SK-003
specialization
chemical-engineering

SKILL.md

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

yaml
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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