Significant changes over the past decade in computing technology, along with widespread deregulation of electricity industries, have impacted on power plant operations while affording engineers the opportunity to introduce monitoring and plant-wide control schemes that were previously unfeasible. Contributors of world-class excellence are brought together in Thermal Power Plant Simulation and Control to illustrate how current areas of research can be applied to power plant operation, leading to enhanced unit performance, asset management and plant competitiveness through intelligent monitoring and control strategies.
- Part 1: Modelling and simulation
- Chapter 2: Modelling of power plants
- Part 2: Control
- Chapter 3: Modelling and control of pulverised fuel coal mills
- Chapter 4: Generator excitation control using local model networks
- Chapter 5: Steam temperature control
- Chapter 6: Supervisory predictive control of a combined cycle thermal power plant
- Chapter 7: Multivariable power plant control
- Part 3: Monitoring, optimisation and supervision
- Chapter 8: Extending plant load-following capabilities
- Chapter 9: Modelling of NOx emissions in coal-fired plant
- Chapter 10: Model-based fault detection in a high-pressure heater line
- Chapter 11: Data mining for performance monitoring and optimisation
- Chapter 12: Advanced plant management systems
- Part 4: The future
- Chapter 13: Physical model-based coordinated power plant control
- Chapter 14: Management and integration of power plant operations
The Queen's University of Belfast, UK.
Damian Flynn is a lecturer in power engineering in the School of Electrical and Electronic Engineering at The Queen's University of Belfast. A Chartered Engineer and member of the IET, his research interests lie in power plant advanced monitoring and control, power system stability and wind power integration.