能源是支撑国民经济发展的动力，在我国，煤炭仍然是最基本的和最重要的能源来源。且在我国煤炭储量中，高硫煤所占的比重较大。而硫是空气污染、酸雨的始作俑者，煤炭燃烧对环境造成了污染和破坏。由于硫在煤中存在形式的多样性，部分硫用物理方法难以脱除。在所有改善燃煤污染的技术当中，固硫技术是最直接和有效的手段。本文对燃烧中的固硫技术做了深入研究，在实验和分析的基础上提出了针对城市用高硫煤的固硫条件，并进行了实验验证。 本文采取铜川宜君地区高硫煤作为原料用煤，进行了物理浮选脱硫脱灰试验；然后对物理法难以除去的有机硫进行了固硫实验。固硫实验首先对固硫剂选取及添加量、固硫助剂选取及添加量、粉煤粒度、固硫温度六因素进行单因素试验，找到各因素对固硫率的影响和各因素最佳条件。 设计正交试验方案，利用正交试验结果分析各因素间相互作用时对固硫率的影响，得到了固硫率和灰分的最优组合。 利用JMP分析软件设计实验，基于最小二乘法的线性回归理论建立固硫实验模型。利用模型模拟了固硫剂、助剂、温度三因素对固硫率的变化趋势以及最优固硫效率的工艺参数，并与正交试验分析结果进行验证，结果基本一致。利用JMP建立的模型在约束条件下分别进行模拟：满足陕西省《城市用煤》丙类区要求的最大固硫效率；满足甲类区要求的最大固硫温度；满足甲类区要求的最小固硫剂添加量。最后对以上模拟结果进行验证实验得到最终工艺条件参数。 本文提出的城市燃煤固硫的约束条件中，固硫率、灰分、发热量指标均在各自条件下符合陕西省《城市用煤》标准的规定，有推广应用的价值。

Energy is the driving force of national economy. As the most basic form of energy, coal is the most important part. But coal combustion leads to air pollution and environment damage. Sulfur is the root cause of the air pollution and environment damage. Due to the variousness of the existence of sulfur in coal, some of them are difficult to be removed. In order to reduce the pollution of the air, it’s necessary to study the sulfur fixation technology, which is the most direct and effective way for sulfur removing. This paper focuses on the sulfur fixation technology during the coal combustion, proposes an optimized condition for the coal combustion based on theory analysis and experiments with high sulfur coal. In this paper, high sulfur coal from Yijun, Tongchuan city, Shaanxi province was picked out as the samples for the coal flotation desulfurization and ash physical test; next, the physical method was selected to remove organic sulfur for sulfur fixation experiment. The fixation sulfur experiment with single factor was conducted; factors like sulfur fixation agent selection, the adding amount of sulfur retention agent selection, size of pulverized coal particle and temperature etc. were taken into considerations. In the part of Orthogonal test design, the results of orthogonal experiment were used to analyze the interaction effect with various factors on sulfur retention, obtained the optimal combination condition of fixed sulfur and ash. In the paper, JMP was chosen for data analysis. The analysis model was established by using the linear least squares regression method. The trend and interactions of Sulfur fixing agent, additive, and temperature was simulated with this model, the orthogonal experiment results were validated by the model, and these results in turn validates the model. The constraint conditions were simulated by JMP, the results meet the Shaanxi province "the maximum coal" class C area requirements for city of sulfur fixation efficiency. Finally, the simulation results were verified by the final experiment. The proposed constraint conditions in the city burns coal the solid sulfur, sulfur fixation rate, ash content, calorific value of indicators are in line with the Shaanxi Province, "coal" standard for city provisions in their respective conditions, has the potential market value for promotion.