Model order reduction overview
Overview of Model Order Reduction (MOR) in Twin Fabrica
Model Order Reduction (MOR) is a crucial step where the high-fidelity Full Order Model (FOM) is simplified into a smaller, more computationally efficient Reduced Order Model (ROM). This process ensures that the thermal system is accurately represented while being computationally efficient, enabling real-time simulations.
Steps to Perform Model Order Reduction
- Purpose of Model Order Reduction:
- The main goal of MOR is to reduce the complexity of the model while preserving its essential dynamic and thermal behavior.
- This helps ensure simulation speed and real-time performance, without sacrificing accuracy compared to the original FOM.
- Parametric Reduction Process:
- Twin Fabrica uses a parametric approach for model order reduction, meaning that the ROM is designed to work across a range of parameter values, not just for a single configuration.
- The first step is to define the range of parameters influencing the model, such as thermal conductivity, specific heat capacity, and mass density. These values form the reduction recipe, guiding the MOR engine to generate a ROM that stays accurate across the specified parameter space.
- This ensures that the ROM performs well under various operating conditions, making it robust for real-world applications.
- Generate the Reduced Order Model:
- Based on the parameter ranges defined in the reduction recipe, users generate the ROM.
- Multiple ROMs can be created by varying the parameter exploration ranges or adjusting the reduction algorithm settings.
- This flexibility allows users to evaluate different configurations and find the right balance between accuracy and computational efficiency for the intended application.
- Customization of MOR Settings:
- Twin Fabrica provides full control over the MOR process by allowing users to adjust the default algorithmic settings behind the scenes.
- By fine-tuning these settings, users can customize the ROM to meet specific performance requirements, optimizing the model's complexity versus simulation speed based on the use case.
- Validation of the Reduced-Order Model:
- After creating the ROM, it is validated against the original FOM to ensure that it retains the essential dynamic and thermal behavior of the system.
- Twin Fabrica provides a dedicated validation interface to compare the models both visually and quantitatively.
- Once the ROM demonstrates satisfactory accuracy compared to the FOM, it is ready for the next step: calibration against experimental data.
By following these steps, you can ensure that your ROM is both accurate and efficient, making it ready for real-world deployment and integration into control systems.