"Thermal Power Plant Simulation and Control" ed. by Damian Flynn (Repost)

This book shows how advances in computing technology and current areas of research can be combined to extend the capabilities and economics of modern power plant. Author has brought together contributors of world-class excellence to illustrate how the various methodologies can be applied to power plant operation.

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 which 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.

Contents
List of contributors
Preface
List of abbreviations
1 Advances in power plant technology - M. Cregan and D. Flynn
1.1 Power plant historical development
1.2 Plant configuration and design
1.3 Control and instrumentation
1.4 External influences
1.5 Plant technology developments
1.6 References
Part 1: Modelling and simulation
2 Modelling of power plants - A. Leva and C Maffezzoni
2.1 Introduction
2.2 Model structuring by the object-oriented approach
2.3 Basic component models
2.4 Modelling of distributed control systems
2.5 Application of dynamic decoupling to power plant models
2.6 Testing and validation of developed models
2.7 Concluding remarks and open problems
2.8 References
Part 2: Control
3 Modelling and control of pulverised fuel coal mills - N.W. Rees and G.Q. Fan
3.1 Introduction
3.2 Modelling of coal mills
3.3 Plant tests, results and fitting model parameters
3.4 Mill control
3.5 Intelligent control and operator advisory systems
3.6 Conclusions
3.7 Acknowledgements
3.8 References
4 Generator excitation control using local model networks - M.D . Brown, D. Flynn and G. W. Irwin
4.1 Introduction
4.2 Local model networks
4.3 Controller design
4.4 Micromachine test facility
4.5 Results
4.6 Conclusions
4.7 References
5 Steam temperature control - T. Moelbak and J.H. Mortensen
5.1 Introduction
5.2 Plant and control description
5.3 Advanced evaporator control
5.4 Advanced superheater control
5.5 Conclusions
5.6 References
6 Supervisory predictive control of a combined cycle thermal power plant
D. Sdez and A. Cipriano
6.1 Introduction
6.2 A combined cycle thermal power plant
6.3 Design of supervisory control strategies for a combined cycle thermal power plant
6.4 Application to the thermal power plant simulator
6.5 Discussion and conclusions
6.6 Acknowledgements
6.7 References
7 Multivariable power plant control - G. Poncia
7.1 Introduction
7.2 Classical control Of thermal power plants
7.3 Multivariable control strategies
7.4 An application: MBPC control of a 320 MW oil-fired plant
7.5 Conclusions
7.6 Acknowledgements
7.7 References
Part 3: Monitoring, optimisation and supervision
8 Extending plant load-following capabilities - R. Garduno-Ramirez and If. Y Lee
8.1 Introduction
8.2 Power unit requirements for wide-range operation
8.3 Conventional power unit control
8.4 Feedforward/feedback control strategy
8.5 Knowledge-based feedforward control
8.6 Design of neurofuzzy controllers
8.7 Wide-range load-following
8.8 Summary and conclusions
8.9 Acknowledgements
8.10 References
9 Modelling of NOx emissions in coal-fired plant - S. Thompson and K. Li
9.1 Emissions from coal-fired power stations
9.2 An overview of NOx formation mechanisms
9.3 NOx emission models for a 500 MW power generation unit
9.4 Conclusions
9.5 Acknowledgements
9.6 References
10 Model-based fault detection in a high-pressure heater line - A. Alessandri, P Coletta and T. Parisini
10.1 Introduction
10.2 Description of power plant application
10.3 Grey-box modelling and identification of a power plant
10.4 A general approach to receding-horizon estimation for non-linear systems
10.5 Conclusions
10.6 References
11 Data mining for performance monitoring and optimisation - J.A. Ritchie and D. Flynn
11.1 Introduction
11.2 Outline of data mining applications
11.3 Identification of process and sensor faults
11.4 Process monitoring and optimisation
11.5 Non-linear PLS modelling
11.6 Discussion and conclusions
11.7 Acknowledgements
11.8 References
12 Advanced plant management systems - A. Fricker and G. Oluwande
12.1 Plant management in a deregulated electricity market
12.2 Supervisory control
12.3 System integration and HMI issues
12.4 Performance monitoring
12.5 Added value applications
12.6 Conclusions
12.7 References
Part4: Thefuture
13 Physical model-based coordinated power plant control - G. Prasad
13.1 Introduction
13.2 A review of physical model-based thermal power plant control approaches
13.3 Control problems of a thermal power plant
13.4 Applying a physical model-based predictive control strategy
13.5 Simulation results
13.6 Discussion and conclusions
13.7 Acknowledgements
13.8 References
14 Management and integration of power plant operations - A.E Armor
14.1 Introduction
14.2 Age and reliability of plants
14.3 Improving asset management
14.4 The impacts of cycling on power plant performance
14.5 Improving maintenance approaches
14.6 Power plant networks: redefining information flow
14.7 Conclusions
14.8 References
14.9 Bibliography
Index

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