Many large-scale processes like refineries or power generation plant are constructed using the multi-vendor system and a main co-ordinating engineering contractor. With such a methodology. the key process units are installed complete with local proprietary control systems in place. Re-assessing the so called lower level control loop design or structure is becoming less feasible or desirable. Consequently, future comp~titive gains in large-scale industrial systems will arise from the closer and optimised global integration of the process sub-units. This is one of the inherent commercial themes which motivated the research reported in this monograph. To access the efficiency and feasibility of different large-scale system designs, the traditional tool has been the global steady-state analysis and energy balance. The process industries have many such tools encapsu lated as proprietary design software. However, to obtain a vital and critical insight into global process operation a dynamic model and simulation is necessary. Over the last decade, the whole state of the art in system simulation has irrevocably changed. The Graphical User Interface (G UI) and icon based simulation approach is now standard with hardware platforms becoming more and more powerful. This immediately opens the way to some new and advanced large-scale dynamic simulation developments. For example, click-together blocks from standard or specialised libraries of process units are perfectly feasible now.

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The potential of icon-based simulation tools has only recently been fully appreciated and is now being exploited for the simulation of large-scale systems. Modern advanced simulation tools enable such systems to be rapidly analysed, aiding both the design process and the task of identifying improvements to existing systems. Modelling and Simulation of Power Generation Plants reports on the research at the Industrial Control Centre, University of Strathclyde, in using such tools to establish a simulation library for power generation plants. The authors present the complete development of the simulation library from modelling to algorithm construction and simulation. The material is set in the general context of control strategies for combined cycle/combined heat and power configurations.

Contenu
1 CC and CHP Systems: An Introduction.- 1.1 Introduction.- 1.2 Power Plants with Steam Turbines.- 1.3 Power Plants with Gas Turbines.- 1.4 Combined Heat and Power Configurations.- 1.5 Combined Cycle Configurations.- 1.6 The Main Components of Power Plant.- 1.7 Operational Procedures.- 1.8 Block Diagrams for CC and CHP Schemes.- 1.9 Case Study: Skegton Unit.- 1.10 Conclusions.- 1.11 References for the Chapter.- 2 Power Generation Plant Control.- 2.1 Introduction.- 2.2 Some Technological Background.- 2.3 Power Generation Plant Control.- 2.4 Control of Skegton Unit.- 2.5 Supervisory Control Problems Summarised.- 2.6 Chapter Conclusions.- 2.7 References for the Chapter.- 3 Simulation Tools.- 3.1 Introduction.- 3.2 Engineering System Types.- 3.3 Dynamic System Simulation Tools: A Review.- 3.4 An Assessment Exercise.- 3.5 Conclusions.- 3.6 References for the Chapter.- 3.7 Software Suppliers.- 4 Process Models.- 4.1 Introduction.- 4.2 State Space Modelling.- 4.3 Skegton Unit Component Models.- 4.4 Controller Descriptions.- 4.5 Conclusions.- 4.6 References for the Chapter.- 5 Simulation Studies.- 5.1 Introduction.- 5.2 Module Library Description.- 5.3 Skegton Unit Simulation Results.- 5.4 Conclusions.- 5.5 References for the Chapter.- 6 Conclusions.- 6.1 Summary Conclusions.- 6.2 The Future Research Directions.- Appendix 1 Skegton Unit Simulation Data.- Appendix 2 Polynomial Representation for Saturated Steam and Water Conditions.