MSC,EASY5 Overview MSC. EASY5 Levels of Dynamic System Simulation Fidelity Physical systems can be simulated at many levels of accuracy. the " level depends on the purpose of the simulation 1. Atomic level -Uses equations from quantum mechanics Purpose: Molecular level effects Applications: Nuclear physics, quantum chemistry, statisical mechanics 2. Continuum (or distributed parameter)-Uses partial differential equations Purpose: Study quantities that vary significantly over the points in a geometric object Applications: Detailed aerodynamics, impact analysis, component(e.g. valve)analysis 3. Macroscopic(or lumped parameter)-Uses ordinary differential equations Purpose: Study quantities that vary in time but can be averaged over spacial components Applications: Flight controls, hydraulic system analysis, electric power system control 4. Systems analysis Uses algebraic equations with time delays Purpose: Study quantities that effectively change value instantaneously at discrete instances of time Applications: Scheduling, communications Each level requires"orders of magnitude more effort than the next highest, but provides more accurate results. MSC EASY5 models dynamic systems at Level 3 (with the occasional 1-Dim Level 2, such as the Method of characteristics pipe) Modeling and Simulation of Gas Systems with MSC. EASY5-Chart 8 MSC XSOFTWAREMSC.EASY5  Modeling and Simulation of Gas Systems with MSC.EASY5 - Chart 8 MSC.EASY5 Overview Levels of Dynamic System Simulation Fidelity • Physical systems can be simulated at many levels of accuracy. The “correct” level depends on the purpose of the simulation. 1. Atomic level - Uses equations from quantum mechanics Purpose: Molecular level effects Applications: Nuclear physics, quantum chemistry, statisical mechanics 2. Continuum (or distributed parameter) - Uses partial differential equations Purpose: Study quantities that vary significantly over the points in a geometric object Applications: Detailed aerodynamics, impact analysis, component (e.g. valve) analysis 3. Macroscopic (or lumped parameter) - Uses ordinary differential equations Purpose: Study quantities that vary in time but can be averaged over spacial components Applications: Flight controls, hydraulic system analysis, electric power system control 4. Systems analysis - Uses algebraic equations with time delays Purpose: Study quantities that effectively change value instantaneously at discrete instances of time Applications: Scheduling, communications • Each level requires “orders of magnitude more effort than the next highest, but provides more accurate results. • MSC.EASY5 models dynamic systems at Level 3 (with the occasional 1-Dim Level 2, such as the Method of Characteristics pipe)