LIBS analysis of the ash content, volatile matter, and calorific value in coal by partial least squares regression based on ash classification-Reference-Cited by-同舟云学术

LIBS analysis of the ash content, volatile matter, and calorific value in coal by partial least squares regression based on ash classification

Author:

Zhang Wenhao¹²³⁴⁵^ORCID,Zhuo Zhuang¹²³⁴⁵,Lu Peng⁶³⁷⁵,Tang Jing⁸⁷⁵,Tang Hailong⁸⁷⁵,Lu Jingqi¹²³⁴⁵,Xing Tao⁹⁷⁵,Wang Yan¹⁰¹¹⁵

Affiliation:

1. Key Laboratory of Laser & Infrared System Integration of Ministry of Education

2. School of Information Science and Engineering

3. Shandong University

4. Qingdao

5. China

6. School of Physics

7. Jinan

8. Shandong Huatow Environmental Protection Technology Co. LTD

9. Huadian Shandong New Energy Co. LTD

10. Huadian Longkou Power Generation Co. LTD

11. Longkou

Abstract

The accuracy of LIBS coal quality detection was improved after ash classification.

Funder

Key Technology Research and Development Program of Shandong

Shandong University

Publisher

Royal Society of Chemistry (RSC)

Subject

Spectroscopy,Analytical Chemistry

Link

Reference36 articles.

1. BP , BP Statistical Review of World Energy 2019 , London , 2019

2. W. Fang , H.Du and T.Li , Technical questions and answers on fuel analysis , China Electric Power Press , 2014 , pp. 137–164

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