In:
Advanced Materials Research, Trans Tech Publications, Ltd., Vol. 676 ( 2013-3), p. 40-45
Abstract:
This paper establishes the prediction model for the NOx emission with Material Properties based on the artificial neural network,and predicts the NOx emission before and after the borler’s combustion reform .First, this paper analyzes the NOx formation mechanism. Then,this paper establishes the prediction model for the NOx emission with Material Properties based on the artificial neural network,which uses the main factors of influencing NOx formation as input variable. At last , this paper trains new samples again,and predicts the boiler NOx emission after the boiler’s low NOx combustion reform.This paper demonstrates that the model is effective for predicting boiler NOx emission before and after the boiler’s low NOx combustion reform.
Type of Medium:
Online Resource
ISSN:
1662-8985
DOI:
10.4028/www.scientific.net/AMR.676
DOI:
10.4028/www.scientific.net/AMR.676.40
Language:
Unknown
Publisher:
Trans Tech Publications, Ltd.
Publication Date:
2013
detail.hit.zdb_id:
2265002-7