Steam plant : optimization and development by modelling
Author(s)
Bibliographic Information
Steam plant : optimization and development by modelling
（I Mech E seminar, 1999-6）
Professional Engineering, 1999
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Papers presented at the one-day seminar, Optimization and Development of Existing Steam Plant by Modelling, held 1 December 1998, London, England
Includes bibliographical references
Description and Table of Contents
Description
A changing market has frequently compelled users of steam plant to operate off-design, to undertake hardware modifications, or to do both. Proposals to modify plant and its operation need to be evaluated at a conceptual stage and this must be followed by revised training for plant operators, possibly using simulation. Computer modelling is an essential pre-requisite for exploring the capability of existing plant and for assessing its use for new regimes of steady-state or transient operation. The papers in this volume focus on system modelling to determine effects beyond the basis of the original steam plant design, including new applications of standard techniques and novel solutions to well-known problems. special considerations is given to manufacturers' and utilities' own methodology rather than to commercially available software. This work looks at how models are developed, what can be used with confidence, and what are the pitfalls while examining the key areas of : condenser modelling; conversion options; whole power plant modelling software packages; optimizing performance; computer modelling; and efficiency improvements.
Table of Contents
- Optimization of power station performance and design
- whole power plant modelling software packages for optimizing performance
- furnace modelling or athracite firing
- conversion options for Peterhead power station
- modification to an eletro-hydraulic governor for use with a steam bypasss system
- efficiency improvements though condenser modelling
- computational fluid dynamics for flow visualization in steam turbine inlets and exhausts.
by "Nielsen BookData"
