ID | 114331 |
Author |
Wang, Zhenzhen
Xi’an Jiaotong University|Tokushima University
Deguchi, Yoshihiro
Xi’an Jiaotong University|Tokushima University
Tokushima University Educator and Researcher Directory
KAKEN Search Researchers
Kamimoto, Takahiro
Tokushima University
Tainaka, Kazuki
Central Research Institute of Electric Power Industry
Tanno, Kenji
Central Research Institute of Electric Power Industry
|
Keywords | Coal combustion
2D temperature measurement
Time-series distribution
Tunable diode laser absorption spectroscopy (TDLAS)
Computed tomography (CT)
|
Content Type |
Journal Article
|
Description | The investigation of combustion phenomena in pulverized coal flames is significant for combustion optimization related to energy conservation and emission reduction. Real-time two dimensional (2D) temperature and concentration distributions play an important role for combustion analysis. The non-contact and fast response 2D temperature and concentration distribution measurement method was developed in this study. The method is based on a combination of computed tomography (CT) and tunable diode laser absorption spectroscopy (TDLAS). The accuracy evaluation of developed 32-path CT-TDLAS demonstrated its feasibility of 2D temperature measurement. 32-path CT-TDLAS was applied to CH4 and 5 kg/h coal combustion fields for 2D temperature measurement. The time-series 2D temperature distribution in coal combustion furnace was measured using 32-path CT-TDLAS measurement cell with kHz time resolution. The transient temperature field of combustion flame directly reflects the combustion mode and combustion stability. The measurement results demonstrate its applicability of CT-TDLAS to various types of combustor, especially the combustion fields with coal and ash particles. CT-TDLAS method with kHz response time enables the real-time 2D temperature measurement to be applicable for combustion analysis.
|
Journal Title |
Fuel
|
ISSN | 00162361
|
NCID | AA00652288
AA11527040
|
Publisher | Elsevier
|
Volume | 268
|
Start Page | 117370
|
Published Date | 2020-02-15
|
Rights | © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
|
EDB ID | |
DOI (Published Version) | |
URL ( Publisher's Version ) | |
FullText File | |
language |
eng
|
TextVersion |
Author
|
departments |
Science and Technology
|