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Robust Assessment of Controllable Operating Parameters of Entrained Flow Cogasification of Petcoke with Coal: Considering Some Uncertainties
[Image: see text] This paper is focused on the effects of some controllable operating parameters on the robustness of the coke/coal entrained flow cogasification process considering some uncertainties in it. In the present work, the operating variables were categorized into controllable parameters (...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391939/ https://www.ncbi.nlm.nih.gov/pubmed/32743227 http://dx.doi.org/10.1021/acsomega.0c02427 |
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author | Zhang, Jinchun Hou, Jinxiu |
author_facet | Zhang, Jinchun Hou, Jinxiu |
author_sort | Zhang, Jinchun |
collection | PubMed |
description | [Image: see text] This paper is focused on the effects of some controllable operating parameters on the robustness of the coke/coal entrained flow cogasification process considering some uncertainties in it. In the present work, the operating variables were categorized into controllable parameters (CPs) (oxygen and steam concentrations, OC and SC) and hard-to-control parameters (temperature and coal/coke blending ratio) according to the actual modes during the cogasification process. Then, some robust response surface methodology (RSM) models, that is, mean RSM model and variance RSM model, for some important performance indexes [H(2), CO, and (H(2) + CO) production] with the CPs as independent variables, were found using combined array methodology. Then, the effects of OC and SC not only on the mean but also on the variance of each performance index were systematically investigated. Finally, the cogasification process was robustly optimized using the mean square criterion and desirability function. The result shows that the average production of H(2) and that of (H(2)+ CO) increases with increasing OC but decreases with increasing SC. Additionally, higher OC suppresses the fluctuations in H(2) and (H(2) + CO) production, while higher SC enlarges the fluctuations in H(2) production. Assuming that the variance of temperature in a gasifier is 20 °C and the variance of the coal/coke blending ratio is 5%, the multiobjective robust optimization solutions of OC and SC are 1.56 and 50%, respectively, and a satisfactory performance for high syngas production with low fluctuation can be gained. |
format | Online Article Text |
id | pubmed-7391939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-73919392020-07-31 Robust Assessment of Controllable Operating Parameters of Entrained Flow Cogasification of Petcoke with Coal: Considering Some Uncertainties Zhang, Jinchun Hou, Jinxiu ACS Omega [Image: see text] This paper is focused on the effects of some controllable operating parameters on the robustness of the coke/coal entrained flow cogasification process considering some uncertainties in it. In the present work, the operating variables were categorized into controllable parameters (CPs) (oxygen and steam concentrations, OC and SC) and hard-to-control parameters (temperature and coal/coke blending ratio) according to the actual modes during the cogasification process. Then, some robust response surface methodology (RSM) models, that is, mean RSM model and variance RSM model, for some important performance indexes [H(2), CO, and (H(2) + CO) production] with the CPs as independent variables, were found using combined array methodology. Then, the effects of OC and SC not only on the mean but also on the variance of each performance index were systematically investigated. Finally, the cogasification process was robustly optimized using the mean square criterion and desirability function. The result shows that the average production of H(2) and that of (H(2)+ CO) increases with increasing OC but decreases with increasing SC. Additionally, higher OC suppresses the fluctuations in H(2) and (H(2) + CO) production, while higher SC enlarges the fluctuations in H(2) production. Assuming that the variance of temperature in a gasifier is 20 °C and the variance of the coal/coke blending ratio is 5%, the multiobjective robust optimization solutions of OC and SC are 1.56 and 50%, respectively, and a satisfactory performance for high syngas production with low fluctuation can be gained. American Chemical Society 2020-07-14 /pmc/articles/PMC7391939/ /pubmed/32743227 http://dx.doi.org/10.1021/acsomega.0c02427 Text en Copyright © 2020 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Zhang, Jinchun Hou, Jinxiu Robust Assessment of Controllable Operating Parameters of Entrained Flow Cogasification of Petcoke with Coal: Considering Some Uncertainties |
title | Robust Assessment of Controllable Operating Parameters
of Entrained Flow Cogasification of Petcoke with Coal: Considering
Some Uncertainties |
title_full | Robust Assessment of Controllable Operating Parameters
of Entrained Flow Cogasification of Petcoke with Coal: Considering
Some Uncertainties |
title_fullStr | Robust Assessment of Controllable Operating Parameters
of Entrained Flow Cogasification of Petcoke with Coal: Considering
Some Uncertainties |
title_full_unstemmed | Robust Assessment of Controllable Operating Parameters
of Entrained Flow Cogasification of Petcoke with Coal: Considering
Some Uncertainties |
title_short | Robust Assessment of Controllable Operating Parameters
of Entrained Flow Cogasification of Petcoke with Coal: Considering
Some Uncertainties |
title_sort | robust assessment of controllable operating parameters
of entrained flow cogasification of petcoke with coal: considering
some uncertainties |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391939/ https://www.ncbi.nlm.nih.gov/pubmed/32743227 http://dx.doi.org/10.1021/acsomega.0c02427 |
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