Advanced OpenModelica: Modular System Modeling

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About Course

Welcome to Advanced OpenModelica: Modular System Modeling, a hands-on course designed to enhance your system modeling skills for energy and power applications. Learn structured, modular, and scalable workflows in OMEdit to build multi-cell and multi-stack models, run simulations, and analyze results.

This course builds on foundational OpenModelica knowledge, teaching you to design clean, professional models, manage parameters systematically, implement parameterized blocks, and create icons and interfaces for modular systems, skills directly applicable in engineering, research, and industrial projects.

What You Will Learn

  • Design modular, scalable system models
  • Extend component models to multi-component
  • Define and manage parameters efficiently
  • Use arrays, extensions, and blocks to streamline modeling
  • Build and organize visual and textual models in OMEdit
  • Create icons and interfaces for modular model instantiation
  • Run simulations and analyze system behavior, including shunt currents
  • Export results as CSV for further analysis
  • Apply best practices for maintainable, extensible models

Who This Course Is For

  • Engineers, researchers, and students in energy, power, or multi-domain systems
  • Anyone with basic OpenModelica knowledge seeking advanced skills
  • Learners interested in structured, modular system modeling for practical applications

Course Highlights

  • Project-driven, hands-on approach with real-world energy and power systems
  • Step-by-step guidance for advanced OMEdit workflows
  • Modular system design and structured project organization
  • Multi-cell and multi-stack modeling exercises
  • Simulation, analysis, and CSV export techniques
  • Focus on scalable, professional, and maintainable models

Why This Course Exists

This course fills the gap in structured, practical training for complex system modeling. Most advanced resources are either too theoretical or lack professional workflows. This course provides hands-on, project-focused learning to develop scalable, analyzable models.

What Comes Next

Future courses will extend this work to the hydraulic side, covering flow battery dynamics, fluid libraries, and controller design, and demonstrate integration of electrical and hydraulic systems to explore optimal operation for combined systems.

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What Will You Learn?

  • Design modular, scalable system models
  • Extend component models to multi-component
  • Define and manage parameters efficiently
  • Use arrays, extensions, and blocks to streamline modeling
  • Build and organize visual and textual models in OMEdit
  • Create icons and interfaces for modular model instantiation
  • Run simulations and analyze system behavior, including shunt currents
  • Export results as CSV for further analysis
  • Apply best practices for maintainable, extensible models

Course Content

Course Introduction
A quick overview of the course, the project-driven approach you'll follow, and the modular, reusable models you'll build in OMEdit throughout.

  • Course Introduction and Learning Approach

Project Deep Dive
Get introduced to the real-world energy system used as the project foundation for this course. Explore shunt current, equivalent circuit translation, and the factors that shape system efficiency, setting up the modeling work in the modules ahead.

Modeling Fundamentals and Project Structure
Move into hands-on OMEdit work. Build a two-cell model from the ground up, apply custom units and arrays, extend and structure models for reuse, and define parameters, interfaces, and icons for a scalable, modular project.

Multi-Cell Stack Modeling and Simulation
Scale the two-cell model into a full 20-cell stack. Organize parameters for easy modification, build and test modular blocks, and analyze shunt current distribution across the stack.

Modular Multi-Stack Modeling and Exporting Results
Extend the stack model into multi-stack configurations. Compare series and parallel setups, tune manifold and channel parameters, and export simulation results to CSV for analysis.

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