Modelling and optimization of energy systems

ME-454

11. Techno-economic analysis

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Description

In this module, we will learn about data reconciliation and parameter identification.

After this module, you should be able to define: 

  • Data Reconciliation (DR)
  • Measurements, redundancies, calculable variables, specifications and accuracies
  • Reconciled values and a-posteriori accuracy
  • Statement if the DR problem
  • Example of DR application
  • Sensitivity analysis
  • Incidence matrix analysis
  • models for soft sensing
  • Parameter identification
  • Regression coefficient and regression validity
Lecture video data reconciliation 
Lecture video two stage heat pump


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