Modeling, Control, Simulation and Diagnosis of Complex Industrial and Energy Systems

Focusing on the modeling, control, simulation, and diagnosis of complex industrial systems, this book contains a collection of papers that have been developed under the aegis of ANIPLA (the national automation association of Italy), which celebrated its 50th anniversary in 2006.

Emphasis is placed on the real-time monitoring and control of process plants and energy systems and on the application of innovative approaches ranging from the predictive control of a gasoline engine, through fuzzy inference applied to quality control in the paper industry and up to innovative load shedding and demand management in national electrical grids.

Part of the ISA/O3neida series, this book will be of interest to practitioners within the automation field, particularly those focused on process control and energy systems. It will also be of interest to academics and students seeking an overview of current approaches in this field or looking for detailed treatment of any of the issues covered by the individual chapters.

More than forty authors from countries around the world have contributed to the production of this unique book and O3neida thanks them, one and all, for their strong collaboration in producing this excellent compendium and for their continuing contribution to the advancement of process control and optimization.

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Chapter 1 : Remote Supervision Center for Enel Combined Cycle Plants
Chapter 2 : Pickling Line Modeling for Advanced Process Monitoring and Automation
Chapter 3 : Modeling, Simulation and Predictive Control of a Gasoline Engine
Chapter 4 : Dynamic Principal Component Analysis Applied to the Monitoring of a Diesel Hydrotreating Unit
Chapter 5 : A Simulation Study of the Flue Gas Path Control System in a Coal-Fired Power Plant
Chapter 6 : Automatic Diagnosis of Valve Stiction by Means of a Qualitative Shape Analysis Technique
Chapter 7 : Monitoring and Controlling Processes with Complex Dynamics Using Soft Sensors
Chapter 8 : Estimation of a Ternary Distillation Column via a Tailored Data Assimilation Mechanism
Chapter 9 : A Prediction Error-Based Method for the Performance Monitoring of Model Predictive Controllers
Chapter 10 : An Intelligent/Smart Framework for Real-Time Process Monitoring and Supervision
Chapter 11 : Quality Monitoring Through a Dynamic Neural Software Sensor
Chapter 12 : Wind Generation and Flexible Electric Load Management Issues for System Operation in Crete
Chapter 13 : A Fuzzy Inference System Applied to Quality Control in the Paper Industry
Chapter 14 : Innovative Load Shedding and Demand Side Management Enhancements to Improve the Security of a National Electrical System

Index