@inproceedings{8d853f97011b4003a7cae2627b57ba33,
title = "Hybrid model of steam boiler",
abstract = "In the case of big energy boilers energy efficiency is usually determined with application of the indirect method. Two energy losses have the significant influence upon the boiler efficiency: flue gas losses and losses due to unburned combustibles. For estimation of these losses the knowledge of the influence of operational parameters upon the flue gases temperature and the content of combustible particles in solid combustion products is necessary. Hybrid model of the boiler developed with the application of both analytical modelling and artificial intelligence is described. Analytical part of the model includes balance equations. Empirical models express the dependence of flue gas temperature and mass fraction of unburnt combustibles in solid combustion products on operational parameters of the boiler. Empirical models have been worked out by means of neural and regression modeling.",
keywords = "Empirical modelling, Energy losses, Neural network, Steam boiler",
author = "Henryk Rusinowski and Wojciech Stanek",
year = "2008",
language = "English",
series = "ECOS 2008 - Proceedings of the 21st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems",
publisher = "Silesian University of Technology",
pages = "913--920",
editor = "Zygmunt Kolenda and Andrzej Ziebik and Wojciech Stanek",
booktitle = "ECOS 2008 - Proceedings of the 21st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems",
address = "Poland",
note = "21st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2008 ; Conference date: 24-06-2008 Through 27-06-2008",
}