双碳背景下干法选煤厂工程设计实践

    Engineering design practice of dry coal preparation plants under the Dual Carbon Strategy

    • 摘要: 在“双碳”目标深入推进以及我国主要煤炭产地逐步向新疆、内蒙古、陕西等中西部干旱缺水地区转移的大背景下,干法分选技术凭借其节水特性,展现出更广阔的应用前景。在动力煤领域,该技术可有效替代传统湿法分选技术,突破水资源限制;在炼焦煤分选领域,通过与湿法分选技术联合应用,可发挥高效预排矸作用,提高分选系统整体效能;而在井下预排矸领域,干法分选技术更是当前兼具经济性与可行性的优选方案。基于工程实践,干法选煤厂设计应重点关注原煤水分控制、分选粒度适配性、入料稳定性保障、除尘降噪措施实施及智能化系统构建等5个核心环节。展望未来,干法分选技术研究应聚焦于提升分选精度与处理能力、优化设备结构、加强原煤水分调控、提升智能化水平,以及实现与绿色电力系统的深度耦合,进而推动煤炭分选行业向绿色化、高效化方向高质量发展。

       

      Abstract: Against the backdrop of the in-depth implementation of China′s “dual carbon” strategy and the gradual relocation of coal production to arid and water-scarce regions in central and western China, such as Xinjiang, Inner Mongolia, and Shaanxi, dry separation technology has demonstrated broader application prospects due to its water-saving advantages. In the field of thermal coal, this technology can effectively replace conventional wet coal preparation methods and alleviate water resource constraints. In the field of coking coal, its combination with wet separation technologies enables efficient preliminary gangue rejection and improves the overall performance of the separation system. Moreover, for underground preliminary gangue rejection, dry separation technology has become one of the most economically and technically feasible solutions currently available. Based on engineering practice, the design of dry coal preparation plants should focus on five key aspects: raw coal moisture control, adaptability to feed particle size, stability of feeding conditions, dust and noise control, and development of intelligent systems. Looking ahead, future research on dry separation technology should focus on improving separation accuracy and processing capacity, optimizing equipment structure to reduce equipment footprint, enhancing raw coal moisture control, advancing intelligent technology, and achieving deep integration with clean energy systems. These efforts will promote the high-quality development of the coal preparation industry toward greener, more efficient operations.

       

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