Loading…
A review of intelligent coal gangue separation technology and equipment development
One of the necessary ways to achieve the efficient, clean utilization of coal resources is to reduce the amount of coal gangue in raw coal to ensure the development of clean, low-carbon, and green energy in China. The application of conventional coal gangue separation equipment is severely limited d...
Saved in:
Published in: | International journal of coal preparation and utilization 2024-09, Vol.44 (9), p.1308-1324 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | One of the necessary ways to achieve the efficient, clean utilization of coal resources is to reduce the amount of coal gangue in raw coal to ensure the development of clean, low-carbon, and green energy in China. The application of conventional coal gangue separation equipment is severely limited due to the large investment in early construction, high production costs, and large water consumption and waste in production. Intelligent coal gangue separation equipment has the advantages of fast speed, high precision, strong modularity, and integration scalability. It also has the advantages of low operation cost and energy consumption, convenient operation and maintenance, and no water use. All of that could effectively improve the utilization rate of coal resources and expand the economic benefits of enterprises. The application of high-speed, high-precision, and anti-interference online element rapid analysis technology in intelligent coal gangue separation equipment will become an inevitable trend of equipment development in the future with the continuous improvement of coal product demand. Online rapid element analysis technology includes laser-induced breakdown spectroscopy, dual-energy X-ray, and transient neutron activation analysis. Improving and applying more high-speed, high-precision algorithms such as partial least squares and Monte Carlo library least squares in the future are important. |
---|---|
ISSN: | 1939-2699 1939-2702 |
DOI: | 10.1080/19392699.2023.2278029 |