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    Dynamic Modeling of Organic Rankine Cycle (ORC) System for Fault Diagnosis and Control System Design

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    Choi_NZGW2016.pdf (727.2Kb)
    Author
    Choi S
    Krumdieck, SP
    Date
    2016
    Permanent Link
    http://hdl.handle.net/10092/13737

    Dynamic simulation plays an important role of providing a higher-level of process analysis of the system and supporting system configuration, operation, maintenance, diagnosis and design of the control system. The purpose of this research is to develop a virtual simulation tool for current suite of geothermal power plants. This article provides a numerical modeling framework for the dynamic modeling including detailed component models and a generic dynamic feedback control and fault diagnosis model for an organic Rankine cycle (ORC) system. A moving boundary method with switched system model is used to model time-varying performance of a heat exchanger in various flow conditions. A custom library for models of ORC components and system dynamic models has been built in Matlab/Simulink environment. The developed model is capable of designing a component- and system level control strategy and fault diagnosis system.

    Subjects
    Organic Rankine Cycle
     
    Dynamic Modeling and Control
     
    Moving Boundary Lumped Parameter Method
     
    Field of Research::09 - Engineering::0906 - Electrical and Electronic Engineering::090608 - Renewable Power and Energy Systems Engineering (excl. Solar Cells)
     
    Field of Research::09 - Engineering::0913 - Mechanical Engineering::091302 - Automation and Control Engineering
    Collections
    • Engineering: Conference Contributions [2012]

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