A Complex Evaluation and Optimization Approach for Oxygen-Enriched Combustion Characteristics of Blended Fuels Based on Response Surface Methodology
With the energy consumption increasing, the coal supply in China has been becoming tight, which has made it difficult for thermal power generation in Yunnan Province. Making full use of local inferior coal and biomass resources in Yunnan can remedy the lack of fuel in power plants. In this paper, an...
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Wiley
2020-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/2487310 |
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author | Y. C. Liu H. Zhang Z. M. Luo S. Qing A. M. Zhang S. P. Yang |
author_facet | Y. C. Liu H. Zhang Z. M. Luo S. Qing A. M. Zhang S. P. Yang |
author_sort | Y. C. Liu |
collection | DOAJ |
description | With the energy consumption increasing, the coal supply in China has been becoming tight, which has made it difficult for thermal power generation in Yunnan Province. Making full use of local inferior coal and biomass resources in Yunnan can remedy the lack of fuel in power plants. In this paper, an oxygen-rich atmosphere thermogravimetric experiment was performed for a blended sample of Xiaolongtan lignite, Yiliang tobacco rod, and Fuyuan bituminous coal. The combustion characteristics of the mixed fuel under several key operating parameters (i.e., mass ratios, oxygen concentration, and heating rates) were studied. The response surface methodology was used to determine the optimal blending ratio of the three fuels. The results show that the ignition and burnout temperature of coal decrease and the combustion time diminishes with the enrichment of oxygen. The optimal oxygen concentration in the practical application is around 30%. The activation energy and preexponential factor increase with the enlargement of oxygen concentration. Such complex evaluation and optimization approach ensure the stable operation of thermal power plant production. |
format | Article |
id | doaj-art-f5013714914f465dae0848f873e3988f |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
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series | Complexity |
spelling | doaj-art-f5013714914f465dae0848f873e3988f2025-02-03T05:49:34ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/24873102487310A Complex Evaluation and Optimization Approach for Oxygen-Enriched Combustion Characteristics of Blended Fuels Based on Response Surface MethodologyY. C. Liu0H. Zhang1Z. M. Luo2S. Qing3A. M. Zhang4S. P. Yang5State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Department of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaState Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Department of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaState Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Department of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaState Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Department of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaState Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Department of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaState Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Department of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaWith the energy consumption increasing, the coal supply in China has been becoming tight, which has made it difficult for thermal power generation in Yunnan Province. Making full use of local inferior coal and biomass resources in Yunnan can remedy the lack of fuel in power plants. In this paper, an oxygen-rich atmosphere thermogravimetric experiment was performed for a blended sample of Xiaolongtan lignite, Yiliang tobacco rod, and Fuyuan bituminous coal. The combustion characteristics of the mixed fuel under several key operating parameters (i.e., mass ratios, oxygen concentration, and heating rates) were studied. The response surface methodology was used to determine the optimal blending ratio of the three fuels. The results show that the ignition and burnout temperature of coal decrease and the combustion time diminishes with the enrichment of oxygen. The optimal oxygen concentration in the practical application is around 30%. The activation energy and preexponential factor increase with the enlargement of oxygen concentration. Such complex evaluation and optimization approach ensure the stable operation of thermal power plant production.http://dx.doi.org/10.1155/2020/2487310 |
spellingShingle | Y. C. Liu H. Zhang Z. M. Luo S. Qing A. M. Zhang S. P. Yang A Complex Evaluation and Optimization Approach for Oxygen-Enriched Combustion Characteristics of Blended Fuels Based on Response Surface Methodology Complexity |
title | A Complex Evaluation and Optimization Approach for Oxygen-Enriched Combustion Characteristics of Blended Fuels Based on Response Surface Methodology |
title_full | A Complex Evaluation and Optimization Approach for Oxygen-Enriched Combustion Characteristics of Blended Fuels Based on Response Surface Methodology |
title_fullStr | A Complex Evaluation and Optimization Approach for Oxygen-Enriched Combustion Characteristics of Blended Fuels Based on Response Surface Methodology |
title_full_unstemmed | A Complex Evaluation and Optimization Approach for Oxygen-Enriched Combustion Characteristics of Blended Fuels Based on Response Surface Methodology |
title_short | A Complex Evaluation and Optimization Approach for Oxygen-Enriched Combustion Characteristics of Blended Fuels Based on Response Surface Methodology |
title_sort | complex evaluation and optimization approach for oxygen enriched combustion characteristics of blended fuels based on response surface methodology |
url | http://dx.doi.org/10.1155/2020/2487310 |
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