摘要
为研究煤粉锅炉微富氧燃烧改造的可行性,本研究对某企业热电事业部1台200t/h高压煤粉锅炉进行了微富氧条件下的热力计算、数值模拟以及经济性分析。其中,数学模型的可靠性通过对比炉膛温度的测试数据与模拟数据(相对误差小于5%)进行了验证。研究结果表明:采用微富氧燃烧可以提高锅炉效率,在最大通氧率下锅炉效率提升了0.4087%;煤的燃烧更加充分,炉膛内燃烧温度提高但不会烧坏燃烧器;采用工业流程中富余氧气进行微富氧燃烧改造可以降低锅炉运行成本,预计年节省开支104.53万元。总之,煤粉锅炉微富氧燃烧改造费用较低,易于实施,对于提升现有煤粉锅炉性能具有重要作用。
To study the feasibility of the reconstruction of a pulverized-coal-fired boiler based on the oxygen-slightly-enriched combustion technology, a thermodynamic calculation, numerical simulation and cost-effectiveness analysis were conducted of a 200 t/h high pressure pulverized coal-fired boiler owned by the thermal power cause department of an enterprise under the condition of oxygen being slightly enriched. In this connection, the reliability of the mathematical model was verified through a comparison of the test data of the temperature inside the furnace with the simulation data (the relative error was less than 5 % ). It has been found that to adopt the slightly-enriched oxygen combustion can enhance the efficiency of the boiler, increasing the boiler efficiency by 0. 4087% at the maximum oxygen supply flow rate. The combustion temperature inside the furnace will also increase but incapable of burning out the burners. To employ the surplus oxygen in the industrial flow path to perform an oxygen-slightly-enriched combustion reconstruction can lower the operation cost of the boiler and it is predicted that the expenditure saved in each year will be as much as RMB 1 045 300 yuan. In a word, the slightly enriched oxygen combustion reconstruction of a pulverized coal-fired boiler has a relatively low cost and is easy for implementation, thus playing an important role in enhancing the performance of currently available oulverized coal-fired boilers.
出处
《热能动力工程》
CAS
CSCD
北大核心
2018年第1期144-150,共7页
Journal of Engineering for Thermal Energy and Power
基金
国家自然科学基金(51376198)
质检公益性行业科研专项(201510067)~~
关键词
煤粉锅炉
微富氧燃烧
热力计算
数值模拟
经济性分析
pulverized coal-fired boiler, oxygen-slightly-enriched combustion, thermodynamic calculation, numerical simulation, cost-effectiveness analysis