Case Study: Xinjiang Zhonglun Dry Coal Sorting Project

Introduction:

The Xinjiang Zhonglun Coal Sorting Project, situated in the Gaochang district of Turpan City, Xinjiang, addresses the unique environmental challenges of the region. With an annual production capacity of 5 million tons of raw coal, this project is focused on efficient and sustainable coal processing. Given Turpan’s perennial water shortages and drought conditions, traditional coal-washing methods are not feasible. To overcome these challenges, Xinjiang Zhonglun Coal Sales Co., Ltd. has implemented advanced intelligent dry coal sorting technology.

Project Overview:

– Location: Gaochang District, Turpan City, Xinjiang

– Production Capacity: 5.0 Mt/a

– Challenges: Water scarcity and drought, making traditional coal-washing methods impractical

Solution:

Advanced Intelligent Dry Coal Sorting Technology:

– Processing Particle Size: Pre-reject gangue from 10-300mm raw coal

– Machines Used: Golden Coal FHG-1800-X Dry Coal Sorting Machine

– Processing Capacity: >180 t/h

– Circle Series FHG-3400-T Dry Coal Sorting Machine:

– Processing Capacity: 150-200 t/h

System Performance:

– Sorting Results:

– Coal in Gangue: <2%

– Gangue Rejection Rate: >90%

Benefits and Outcomes:

– Water Conservation: The dry sorting process conserves precious water resources, essential in the drought-prone region of Turpan.

– Environmental Impact: Reduces environmental pollution by minimizing the need for water in coal processing.

– Efficiency and Accuracy: Enhances the efficiency and accuracy of coal sorting, ensuring high-quality final products.

– Economic Efficiency: Lowers operational costs associated with water usage and waste management.

Conclusion:

The Xinjiang Zhonglun Dry Coal Sorting Project exemplifies the integration of advanced technology to overcome environmental challenges and improve coal processing efficiency. By adopting intelligent dry coal sorting methods, the project not only conserves water resources but also enhances the quality and economic value of the coal produced. This approach serves as a model for sustainable and efficient coal processing in arid regions.

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