Identification of deteriorated components in an air separation plant and evaluating their impact on overall performance through steady state simulation.
收藏Mendeley Data2023-09-19 更新2024-06-27 收录
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http://iifiir.org/clientBookline/service/reference.asp?INSTANCE=EXPLOITATION&OUTPUT=PORTAL&DOCID=IFD_REFDOC_0021740&DOCBASE=IFD_REFDOC_EN&SETLANGUAGE=EN
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Components in cryogenic air separation plant (CASP) deteriorate during operation resulting in deleterious effects on power consumption, production and purity. Proper analysis helps to identify an affected component, estimate the extent of its contribution to the overall deterioration and suggest appropriate and timely maintenance interventions to prevent further deterioration. Steady state simulation of CASP with Aspen Hysys 8.6®™ is initiated with initial guess values of design parameters, which are progressively refined by comparing the simulation output with the plant operating data logged during installation. As the deterioration of more than one component can produce similar effect on the overall output of the plant, it requires a deeper analysis to identify the exact component that has deteriorated. The exercise may also help identifying locations that require additional sensors to be installed to collect data which are essential to analyse the problem and estimate, rectify and pre-empt deterioration in CASP.
深冷空气分离装置(cryogenic air separation plant, CASP)内的组件在运行过程中会发生劣化,进而对装置的能耗、产量与产品纯度产生不利影响。开展合理的分析可识别发生劣化的组件,评估其对整体劣化的贡献程度,并提出恰当及时的维护干预方案,以防止劣化进一步加剧。采用Aspen Hysys 8.6®™对CASP进行稳态模拟时,首先以设计参数的初始猜测值启动模拟,随后通过将模拟输出与装置安装期间记录的运行数据进行比对,逐步优化参数。由于多个组件同时劣化可能对装置整体产出产生相似影响,因此需要开展更深入的分析,以精准定位发生劣化的具体组件。该分析流程还可辅助识别需增设额外传感器的位置,以便采集必要数据,用于分析问题、评估劣化状况、实施整改并预先防范CASP内的劣化问题。
创建时间:
2023-09-19



