Dynamic exergy analysis: From industrial data to exergy flows
Dynamic exergy analysis: From industrial data to exergy flows
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DOI：
10.1111/jiec.13168
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发表时间：
2021-07
影响因子：
5.9
通讯作者：
C. Michalakakis;Jonathan M. Cullen
中科院分区：
文献类型：
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作者：
C. Michalakakis;Jonathan M. Cullen
随着电力和交通部门的脱碳，工业排放将成为脱碳努力的主要重点。火用分析提供了一种综合的材料和能源效率方法来评估工业工厂，这两种方法都是解决工业排放问题所必需的。现有的研究通常使用模拟的静态数据，无法告知真实的工厂操作员。本文对某合成氨生产现场311个传感器历时2年的数据进行火用分析。我们开发的方法可以克服与实际工业数据处理相关的独特数据挑战，在Sankey图表中可视化资源流动，并评估蒸汽甲烷重整装置及其组成过程的火用指标。我们评估了工厂(71%，15%)、一段转化炉(86%，40%)、二段转化炉(96%，71%)、高温变换(99.7%，77%)、燃烧室(56%，55%)和换热工段(85%，82%)的平均常规和过渡(火用)效率。总的(火用)损失为80 MW，一段重整和燃烧室是损失最大的两个过程，分别为35和33 MW。这样的分析可以为实际工厂的改进项目和性能优化提供信息，同时适用于任何工业现场。廉价无线传感器可用性的提高和向Industry 4.0的转变可以实现更高的分辨率和实时性能监控。
As the power and transport sectors decarbonize, industrial emissions will become the main focus of decarbonization efforts. Exergy analysis provides a combined material and energy efficiency approach to assess industrial plants, both of which are necessary to tackle industrial emissions. Existing studies typically use simulated, static data that cannot inform real plant operators. This paper performs an exergy analysis on data spanning 2 years from 311 sensors of a real ammonia production site. We develop methods to overcome unique data challenges associated with real industrial data processing, visualize resource flows in Sankey diagrams, and estimate exergy indicators for both the steam methane reforming plant and its constituent processes. We evaluate average conventional and transit exergy efficiencies for the plant (71%, 15%), primary reformer (86%, 40%), secondary reformer (96%, 71%), high‐temperature shift (99.7%, 77%), combustor (56%, 55%), and heat exchange section (85%, 82%). Overall exergy losses are 80 MW; the primary reformer and combustor are the two processes with the highest losses at 35 and 33 MW, respectively. Such an analysis can inform both improvement projects and performance finetuning of a real plant while being applicable to any industrial site. Increased availability of cheap wireless sensors and a shift to Industry 4.0 can enable higher resolution and real‐time performance monitoring.