Open AccessOperation optimization of SCR system based on denitration efficiency prediction model
Author(s) -
Guilin Wang,
Yigang Zhou,
Yue Zhao,
Sen Wang
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/300/3/032088
Subject(s) - ammonia , inlet , genetic algorithm , environmental science , exhaust gas , coal , process engineering , environmental engineering , waste management , automotive engineering , chemistry , engineering , mathematical optimization , mathematics , mechanical engineering , organic chemistry
In this paper, models for NO x emission prediction and denitration costs are built with support vector machine. The effects of the factors such as SCR inlet NO x content, unit load, oxygen content of exhaust gas, ammonia injection rate, air distribution condition, and coal type on NO x reduction are discussed. The denitration costs under different working conditions are calculated. The ammonia injection rate is optimized with genetic algorithm. It can be shown that the actual ammonia injection rate is 1%-3.5% lower than the optimal value.