Optimization of Combustion Characteristics of Blended Coals Based on TOPSIS Method
Joint Authors
Qing, Shan
Liu, Yingchun
Zhang, Hao
Zhang, Xiaohui
Zhang, Aimin
Yang, Shuping
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-02
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method is used to find optimal mixing scheme of Zhaotong lignite, Fuyuan bituminous coal, and Xiaolongtan lignite in terms of combustion performance.
Comparative evaluation of different mixing schemes is also conducted, where the flammability index, comprehensive combustion characteristic index, burnout temperature, and economic costs can be used to measure the advantages and disadvantages of different mixing schemes with different parameters.
Through analysis and optimization, it is found that when the lignite of Xiaolongtan, lignite of Zhaotong, and bituminous coal of Fuyuan are mixed with a ratio 2 : 1 : 2, the mixed coal has the best performance; when the lignite of Xiaolongtan, lignite of Zhaotong, and bituminous coal of Fuyuan are mixed with a ratio 0 : 2 : 1, the mixed coal has the worst performance.
American Psychological Association (APA)
Liu, Yingchun& Zhang, Hao& Zhang, Xiaohui& Qing, Shan& Zhang, Aimin& Yang, Shuping. 2018. Optimization of Combustion Characteristics of Blended Coals Based on TOPSIS Method. Complexity،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1133942
Modern Language Association (MLA)
Liu, Yingchun…[et al.]. Optimization of Combustion Characteristics of Blended Coals Based on TOPSIS Method. Complexity No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1133942
American Medical Association (AMA)
Liu, Yingchun& Zhang, Hao& Zhang, Xiaohui& Qing, Shan& Zhang, Aimin& Yang, Shuping. Optimization of Combustion Characteristics of Blended Coals Based on TOPSIS Method. Complexity. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1133942
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133942