SPEAR_EM_Library

• Flexibility: customization for specific problems and easily extensible
• Platform independent
• Compatibility with several simulation environments
• Supports large number of physical domains and accurycy/performance levels
• Promotes collaboration, reuse and Know-How exchange

Input(s):

• Parameters
• Boundary Conditions
• Measurements

Main feature(s):

• Framework for energy consumption modelling of production components
• Standardized definition of interfaces
• Use of well-established Modelica language
• Examples and use cases
• Python utilities supporting parametrization, automatic energy profiles generation and export of FMUs

Output(s):

• FMUs
• Energy Profiles to be used by optimizer or consumption dashboard

• Modelica Solver / compiler, e.g. OpenModelica or JModeilca
• Python 3.7 environment
• FMU simulation environment, e.g. PyFMI , FMPy

Virtual Commissioning Engineer, Process Simulation and Optimization Engineer, Research Engineer.

• Conditional
• Only through commercial / research partnerships