Vibration Based Virtual Sensing of Nitrogen Oxide Emission in CI Engines

2021 ◽  
pp. 596-606
Author(s):  
Guoxing Li ◽  
Ahmed Elmi Sahal ◽  
Fengshou Gu ◽  
Tie Wang ◽  
Wenlong Zhang ◽  
...  
Keyword(s):  
Nitrogen Oxide ◽  
Nitrogen Oxide Emission ◽  
Virtual Sensing ◽  
Ci Engines

Data-Driven Robust Optimization for Minimum Nitrogen Oxide Emission Under Process Uncertainty

2021 ◽  
pp. 130971
Author(s):  
Minsu Kim ◽  
Sunghyun Cho ◽  
Kyojin Jang ◽  
Seokyoung Hong ◽  
Jonggeol Na ◽  
...  
Keyword(s):  
Robust Optimization ◽  
Nitrogen Oxide ◽  
Data Driven ◽  
Nitrogen Oxide Emission ◽  
Process Uncertainty

scholarly journals Effect of Flue Gas Recirculation on Nitrogen Oxide Emission of Coal-Fired Unit Boiler

2020 ◽  
Vol 440 ◽  
pp. 042106
Author(s):  
Limeng Zhang ◽  
Xinguang Dong ◽  
Ke Liu ◽  
Xuhui Zhang ◽  
Fanjun Hou ◽  
...  
Keyword(s):  
Nitrogen Oxide ◽  
Flue Gas ◽  
Nitrogen Oxide Emission ◽  
Flue Gas Recirculation ◽  
Gas Recirculation

Low-valence or tetravalent cation doping of manganese oxide octahedral molecular sieve (K-OMS-2) materials for nitrogen oxide emission abatement

2019 ◽  
Vol 9 (15) ◽  
pp. 4108-4117 ◽  
Author(s):  
Xiaomin Wu ◽  
Xiaolong Yu ◽  
Ziyi Chen ◽  
Zhiwei Huang ◽  
Guohua Jing
Keyword(s):  
Catalytic Activity ◽  
Oxygen Vacancy ◽  
Manganese Oxide ◽  
Nitrogen Oxide ◽  
Molecular Sieve ◽  
Oxide Catalysts ◽  
Nitrogen Oxide Emission ◽  
Vacancy Defects ◽  
Cation Doping ◽  
Tetravalent Cation

Substitutionally doped oxide catalysts with abundant oxygen vacancy defects (OVDs) can effectively improve the catalytic activity efficiency.

Exceptional Activity over the Submonolayer MoO3 Motif on TiO2 for Nitrogen Oxide Emission Abatement

2019 ◽  
Vol 53 (9) ◽  
pp. 5309-5318 ◽  
Author(s):  
Zhiwei Huang ◽  
Yueyao Du ◽  
Jie Zhang ◽  
Xiaomin Wu ◽  
Huazhen Shen ◽  
...  
Keyword(s):  
Nitrogen Oxide ◽  
Nitrogen Oxide Emission ◽  
Emission Abatement

scholarly journals A Novel Hybrid CNN-LSTM Scheme for Nitrogen Oxide Emission Prediction in FCC Unit

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Wei He ◽  
Jufeng Li ◽  
Zhihe Tang ◽  
Beng Wu ◽  
Hui Luan ◽  
...  
Keyword(s):  
Nitrogen Oxide ◽  
Short Term Memory ◽  
Pollutant Emissions ◽  
Multidimensional Data ◽  
Nitrogen Oxide Emission ◽  
Complex Behaviour ◽  
Multidimensional Time Series ◽  
Product Separation ◽  
Memory Network ◽  
Risk Assessment And Management

Fluid Catalytic Cracking (FCC), a key unit for secondary processing of heavy oil, is one of the main pollutant emissions of NOx in refineries which can be harmful for the human health. Owing to its complex behaviour in reaction, product separation, and regeneration, it is difficult to accurately predict NOx emission during FCC process. In this paper, a novel deep learning architecture formed by integrating Convolutional Neural Network (CNN) and Long Short-Term Memory Network (LSTM) for nitrogen oxide emission prediction is proposed and validated. CNN is used to extract features among multidimensional data. LSTM is employed to identify the relationships between different time steps. The data from the Distributed Control System (DCS) in one refinery was used to evaluate the performance of the proposed architecture. The results indicate the effectiveness of CNN-LSTM in handling multidimensional time series datasets with the RMSE of 23.7098, and the R2 of 0.8237. Compared with previous methods (CNN and LSTM), CNN-LSTM overcomes the limitation of high-quality feature dependence and handles large amounts of high-dimensional data with better efficiency and accuracy. The proposed CNN-LSTM scheme would be a beneficial contribution to the accurate and stable prediction of irregular trends for NOx emission from refining industry, providing more reliable information for NOx risk assessment and management.

Effect of Volatile-Char Interaction on Nitrogen Oxide Emission during Combustion of Blended Coal

2016 ◽  
Vol 142 (4) ◽  
pp. 04016003 ◽  
Author(s):  
Chang’an Wang ◽  
Yinhe Liu ◽  
Xiaoming Zhang ◽  
Defu Che
Keyword(s):  
Nitrogen Oxide ◽  
Nitrogen Oxide Emission ◽  
Blended Coal

Nitrogen in coal as a source of nitrogen oxide emission from furnaces

Fuel ◽  
1974 ◽  
Vol 53 (2) ◽  
pp. 120-125 ◽  
Author(s):  
David H. Fine ◽  
Steven M. Slater ◽  
Adel F. Sarofim ◽  
Glenn C. Williams
Keyword(s):  
Nitrogen Oxide ◽  
Nitrogen Oxide Emission
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