Towards intelligent systems for boiler design

Author:

Lu S1

Affiliation:

1. Technology Centre Mitsui Babcock Energy Limited Renfrew

Abstract

This paper describes the application, through examples and comparisons, of artificial intelligence including neural networks, fuzzy logic, genetic algorithms in three levels of computer aided boiler design: design by mathematical modelling, design by optimization and design by knowledge-based systems. It reviews the state-of-the-art situation and trends for future development in boiler design practice.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Energy Engineering and Power Technology

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neural Network based Modeling of Power Plant with Reduced Number of Input Variables;IETE Journal of Research;2004-01

2. One Dimensional Models for Pressure Drop, Empirical Equations for Void Fraction and Frictional Pressure Drop and Pressure Drop and other Effects in Fittings;Modelling and Experimentation in Two-Phase Flow;2003

3. Dynamic nonlinear modelling of power plant by physical principles and neural networks;International Journal of Electrical Power & Energy Systems;2000-01

4. Dynamic modelling and simulation of power plant systems;Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy;1999-02-01

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