ABSTRACT

Modern coal preparation plants are designed to achieve maximum overall clean coal yield with an acceptable amount of impurities to meet end-user requirements. LIMN is commonly used to design and simulate coal processing circuits based on size and density distribution data of coal. In this study, particle distribution data for size, density, and floatability were established for Punjab coal after crushing it to 38 mm. Punjab coal contains high amounts of ash (34.70%) and sulfur (8.34%). Float-sink tests conducted on several size fractions disclosed that 16% target ash could be achieved at an overall yield of 63% with ash and sulfur rejection values in the range of 72.63–94.18% and 73.01–88.45%, respectively. However, the sulfur limit of 1.0% would be difficult to meet. Dell release analysis performed on – 0.25 mm fraction revealed poor flotation response of Punjab coal. Several process flowsheets were designed and simulated using LIMN to generate data for yield, ash and sulfur. End-User Beneficiation Number (EBN) was introduced and utilized for determining the best processing option that can provide maximum yield while meeting the quality requirements of the end-user. Economic analysis involving CAPEX, OPEX, and payback period validated the merit of EBN.

摘要

现代选煤厂旨在以可接受的杂质含量实现最大的整体清洁煤产量，以满足最终用户的要求。LIMN通常用于根据煤的粒度和密度分布数据设计和模拟煤处理电路。在本研究中，建立了旁遮普煤破碎至 38 毫米后的粒度、密度和可浮性的颗粒分布数据。旁遮普煤炭含有大量灰分 (34.70%) 和硫 (8.34%)。对几种尺寸馏分进行的浮沉测试表明，在总收率 63% 的情况下，可以实现 16% 的目标灰分，灰分和脱硫值分别在 72.63-94.18% 和 73.01-88.45% 的范围内。但是，很难达到 1.0% 的硫含量限制。戴尔发布分析于 – 0 执行。25 毫米馏分表明旁遮普煤的浮选反应较差。使用 LIMN 设计和模拟了几个工艺流程，以生成产量、灰分和硫的数据。最终用户受益编号 (EBN) 被引入并用于确定可以提供最大产量同时满足最终用户质量要求的最佳处理选项。涉及 CAPEX、OPEX 和投资回收期的经济分析验证了 EBN 的优点。