Modeling and Optimization of the Cement Calcination Process for Reducing NOx Emission Using an Improved Just-In-Time Gaussian Mixture Regression-Reference-Cited by-同舟云学术

Modeling and Optimization of the Cement Calcination Process for Reducing NOx Emission Using an Improved Just-In-Time Gaussian Mixture Regression

Published:2020-02-14 Issue:11 Volume:59 Page:4987-4999
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Zheng Jinquan¹,Du Wenli¹,Lang Ziqiang²,Qian Feng¹^ORCID

Affiliation:

1. Key Laboratory of Advanced Control and Optimization for Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China

2. Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield S1 3JD, U.K.

Funder

State Administration of Foreign Experts Affairs

Ministry of Education of the People's Republic of China

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.9b05207

Reference50 articles.

1. Evaluating co-benefits of energy efficiency and air pollution abatement in China’s cement industry

2. A feasible process for simultaneous removal of CO2, SO2 and NOx in the cement industry by NH3 scrubbing

3. Model predictive control of a rotary cement kiln

4. Investigaton of energy saving and NOx reduction possibilities in a rotary cement kiln

5. Data-driven Soft Sensors in the process industry

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