model based diagnosis of hvac systems
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Model-based Diagnosis of HVAC Systems Peter Struss Tech. Univ. of - PowerPoint PPT Presentation

Model-based Diagnosis of HVAC Systems Peter Struss Tech. Univ. of Munich University College Cork Infokaffee 0712 HVAC diagnosis 1 Model-Based Systems & Qualitative Reasoning Group of the Technical University of Munich Air Handling


  1. Model-based Diagnosis of HVAC Systems Peter Struss Tech. Univ. of Munich University College Cork Infokaffee 0712 HVAC diagnosis � 1 Model-Based Systems & Qualitative Reasoning Group of the Technical University of Munich

  2. Air Handling Unit (AHU) within HVAC System Model-Based Systems & Qualitative Reasoning Infokaffee 0712 HVAC diagnosis � 2 Group of the Technical University of Munich

  3. Demonstrator: AHU 09 Model-Based Systems & Qualitative Reasoning Infokaffee 0712 HVAC diagnosis � 3 Group of the Technical University of Munich

  4. School of Music Model-Based Systems & Qualitative Reasoning Infokaffee 0712 HVAC diagnosis � 4 Group of the Technical University of Munich

  5. AHU 09 – Cont � d Return Duct Supply Duct Model-Based Systems & Qualitative Reasoning Infokaffee 0712 HVAC diagnosis � 5 Group of the Technical University of Munich

  6. AHU 09 Return Fan Preheat Coil Cooling Coil Model-Based Systems & Qualitative Reasoning Infokaffee 0712 HVAC diagnosis � 6 Group of the Technical University of Munich

  7. BMS Model-Based Systems & Qualitative Reasoning Infokaffee 0712 HVAC diagnosis � 7 Group of the Technical University of Munich

  8. EMWINS - Challenge � HVAC systems: � Very robust � Monitored � But hardly diagnosed and maintained � Waste of energy � Through undetected faults � E.g. passing valve heating coil � Compensated for by cooling coil � Adaptation of solution: � Fairly standard components, but � Different configurations � Different parameters Model-Based Systems & Qualitative Reasoning Infokaffee 0712 HVAC diagnosis � 8 Group of the Technical University of Munich

  9. EMWINS - Solution � ! Model-based solution � Model library of HVAC components � Configurable model � Adaptation to plant parameters � Numerical model � (Automated) abstraction to diagostic model � Consistency-based diagnosis � Goals: � Covering 70% of the faults � Significant cost reduction � Demonstrator AHU 09: real and simulated data � Comparison with commercial rule-based system Model-Based Systems & Qualitative Reasoning Infokaffee 0712 HVAC diagnosis � 9 Group of the Technical University of Munich

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