Agent Skills: Thermodynamic Model Selector Skill

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

Process SimulationID: a5c-ai/babysitter/thermodynamic-model-selector

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

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library/specializations/domains/science/chemical-engineering/skills/thermodynamic-model-selector/SKILL.md

Skill Metadata

Name
thermodynamic-model-selector
Description
Automated thermodynamic property method selection based on component characteristics and operating conditions

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