Coal type identification based on the emission spectra of a furnace flame
详细信息 查看全文
- 作者：Feng Yin ; Zhi-hao Luo ; Yuan Li ; Ming-xi Zhou…
- 关键词：Key wordsCoal type identification ; Flame emission spectra ; Alkali atomic spectra ; Soot density compensation
- 刊名：Journal of Zhejiang University-SCIENCE A
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：18
- 期：2
- 页码：113-123
- 全文大小：
- 刊物类别：Engineering
- 刊物主题：Mechanical Engineering; Civil Engineering; Classical and Continuum Physics; Industrial Chemistry/Chemical Engineering;
- 出版者：Zhejiang University Press
- ISSN：1862-1775
- 卷排序：18
文摘
This paper presents a novel method of identifying coal type based on mechanistic methods. The ratio of the resonance line spectrum of a luminous flame and the continuous spectrum at the same wavelength eliminates the influence of temperature on spectral intensity. The atomic line spectra of Na and K are typical and significant over continuous flame spectra. The concentrations of elemental Na and K in the flame are exclusively relative to coal type and composition. Using an experimental furnace and charge-coupled device (CCD) optical spectrometer apparatus, the continuous spectra and atomic line spectra of Na and K elements were sampled from coal flames in real time. An empirical fitting method was used to simplify the formulas of absorption strength and flame temperature calculation, and rational solutions were obtained by using an iterative algorithm. Due to the change in reaction rate and absorption by soot particles, the relative contents of Na and K in a flame vary with the temperature and absorption strength. Arrhenius’s equation for temperature compensation was adopted. Compensation for soot density in the furnace was also satisfied by an exponential expression. At any one sampling position, the compensation parameters were identical for all coal types. After compensation for temperature and density of soot particles, the relative strength of the Na and K signals and the ratio between them uniquely matched the coal type burnt in various conditions. The results were replicated and verified in various conditions, and the response time of the system was of the order of seconds.