Dynamic Modeling of Organic Rankine Cycle (ORC) System for Fault Diagnosis and Control System Design (2016)
AuthorsChoi S, Krumdieck, SPshow all
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.
CitationKrumdieck SP, Choi S (2016). Dynamic Modeling of Organic Rankine Cycle (ORC) System for Fault Diagnosis and Control System Design. Auckland, New Zealand: New Zealand Geothermal Workshop. 23/11/2016-25/11/2016. Proceedings of the New Zealand Geothermal Workshop. 2016.
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KeywordsOrganic Rankine Cycle; Dynamic Modeling and Control; Moving Boundary Lumped Parameter Method
ANZSRC Fields of Research09 - Engineering::0906 - Electrical and Electronic Engineering::090608 - Renewable Power and Energy Systems Engineering (excl. Solar Cells)
09 - Engineering::0913 - Mechanical Engineering::091302 - Automation and Control Engineering