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Energy, exergy, exergoeconomic and sensitivity analyses of modified Claus process in a gas refinery sulfur recovery unit

机译:气体炼油厂硫磺回收单位改性克劳斯工艺的能源,暴风,Exergo经济和敏感性分析

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In this study, the sulfur recovery unit based on the modified Claus process with the split flow is simulated and the results are validated with South Pars gas refinery data. Since optimum energy consumption is essential for community development, exergoeconomic and sensitivity analyses are conducted to prevent waste production and increase energy efficiency in this unit. Energy and exergy analyses are performed to identify the equipment with low exergy efficiency and calculate their exergy destruction extent. Reaction furnace with 4178.8 kW exergy destruction has the highest rate, and then waste heat boiler and P-7 pump are placed. After the pumps, the heat exchangers have the lowest exergy efficiency so that the acid gas preheater with the value of 60% has the lowest one. All equipment investment and operating and maintenance cost calculations are carried out so that the largest cost is related to the hydrolyzing Claus bed that followed by waste heat boiler and P-7 pump. Then equipment exergoeconomic parameters such as exergoeconomic factor, cost rate of exergy destruction and relative cost difference are obtained. The lowest exergoeconomic factor among the process equipment is related to reaction furnace and second condenser with the values of 0.26% and 0.86%, respectively. The maximum exergoeconomic factor is 94% which is attributed to compressors. The reaction furnace with 4706.16 ($/h) and waste heat boiler with 4629.89 ($/h) have the highest cost rate of exergy destruction and CMPR-5 compressor with 0.2451 ($/h) has the lowest cost rate. Finally, considering some of the functional and economic parameters in the sensitivity analysis procedure, the influence of changing these variables on exergoeconomic parameters have been investigated. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在本研究中,模拟了基于改进的克劳斯工艺的硫回收单元,并通过南析气炼油数据验证结果。由于最佳能耗对于社区发展至关重要,因此进行了exergo经济和敏感性分析,以防止废物生产并提高本机的能效。进行能源和漏洞分析,以识别具有低通电效率的设备,并计算出漏洞的破坏程度。反应炉具有4178.8千瓦的漏洞破坏具有最高速率,然后放置垃圾锅炉和P-7泵。在泵之后,热交换器具有最低的效率,使得值为60%的酸性气体预热器具有最低的酸性料。所有设备投资和运营和维护成本计算都进行了,以便最大的成本与水解虎杆床相关,然后是废热锅炉和P-7泵。然后,获得了Exergo经济因素,诸如Exergo经济因素,漏洞破坏成本率和相对成本差异的设备。工艺设备中最低的Exergo经济因素与反应炉和第二冷凝器相关,分别为0.26%和0.86%。最大的Exergo经济因子是94%,归因于压缩机。具有4706.16($ / h)和废热锅炉的反应炉,具有4629.89($ / h)具有最高的销毁成本率,CMPR-5压缩机,0.2451($ / h)具有最低的成本率。最后,考虑到敏感性分析程序中的一些功能和经济参数,研究了改变这些变量对exergo经济参数的影响。 (c)2019 Elsevier Ltd.保留所有权利。

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