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Dynamic exergy analysis: From industrial data to exergy flows

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  • Charalampos Michalakakis
  • Jonathan M. Cullen

Abstract

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.

Suggested Citation

  • Charalampos Michalakakis & Jonathan M. Cullen, 2022. "Dynamic exergy analysis: From industrial data to exergy flows," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 12-26, February.
    • Handle: RePEc:bla:inecol:v:26:y:2022:i:1:p:12-26
    DOI: 10.1111/jiec.13168
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