贾金鑫,胡丙升,宋俊超,等. “双碳”背景下干法选煤技术研究新进展[J]. 选煤技术,2024,52(1):1−5. DOI: 10.16447/j.cnki.cpt.2024.01.001
    引用本文: 贾金鑫,胡丙升,宋俊超,等. “双碳”背景下干法选煤技术研究新进展[J]. 选煤技术,2024,52(1):1−5. DOI: 10.16447/j.cnki.cpt.2024.01.001
    JIA Jinxin, HU Bingsheng, SONG Junchao, et al. Latest advances of coal dry cleaning research work against the background of achieving the dual-carbon goals[J]. Coal Preparation Technology,2024,52(1):1−5. DOI: 10.16447/j.cnki.cpt.2024.01.001
    Citation: JIA Jinxin, HU Bingsheng, SONG Junchao, et al. Latest advances of coal dry cleaning research work against the background of achieving the dual-carbon goals[J]. Coal Preparation Technology,2024,52(1):1−5. DOI: 10.16447/j.cnki.cpt.2024.01.001

    “双碳”背景下干法选煤技术研究新进展

    Latest advances of coal dry cleaning research work against the background of achieving the dual-carbon goals

    • 摘要: 干法选煤技术适合高寒干旱地区煤炭的分选加工,尤其对于我国来说,大的煤炭基地都位于中西部缺水地区,发展干法选煤是我国未来煤炭分选一个大的发展趋势。文章简要介绍了几种常用的干法选煤设备。然后分析了“双碳”背景下,我国干法选煤技术的新进展和新方向,包括以射线干选机、风力干选机为代表的大型干法选煤设备,专用于0~13 mm细粒级煤炭干法分选技术,以及干选智能化建设领域的研究进展:射线类干法分选机通过双源识别算法的改进升级,使识别精读进一步提升;风力干选设备通过研制分选床面横向、纵向角度伺服控制系统和数字供风系统,以及建立选煤过程闭环控制数学模型和干法选煤数字孪生平台等实现智能化管理模式。最后,笔者从绿色干法分选、高效干法分选、智能干法分选三方面展望了新形势下干法选煤技术的发展方向。

       

      Abstract: Coal dry cleaning process is suitable for use in high, cold and arid areas, and this is particularly true in China, as the large coal-producing bases are all located in water-deficit central and western parts of the country. The development of dry cleaning of coal has therefore become a general trend in the future. The paper presents a brief introduction to the types of dry cleaning equipment commonly applied, as well as an analysis of the latest advances of the work made on and the direction of development of the following dry cleaning equipment, against the backdrop of achieving carbon peaking and carbon neutrality goals: the radiation-based dry separator, the large-size dry cleaning equipment—typically the pneumatic separator; the dry cleaning separator specifically designed for treating 13~0 mm coal, and the intelligent dry cleaning separator. The radiation-based separator can now work with a much improved identification capability through upgrading with the use of dual-source identification algorithm while, on the other hand, the pneumatic separator is now capable of working under intelligent management mode thanks to the use of servo control system to adjust lateral and longitudinal angles of separating bed, digital air supply system, separating process closed-loop control mathematic model, and digital twining platform. Lastly, the co-authors presents a future outlook on the direction of development of the dry cleaning process under the new scenario from the green, high-efficiency and intelligent perspectives.

       

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