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DOE OSTI · 2589928

Front-end engineering design (FEED) studies: a quantitative analysis

Homsy, Sally [NETL] (ORCID:0000000327670031)·Hughes, Sydney [NETL Site Support Contractor, National Energy Technology Laboratory]·Fout, Timothy [Department of Energy (DOE)]·Hancu, Dan [Department of Energy (DOE)]·Hackett, Gregory [NETL] (ORCID:0000000341313209)
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Abstract

NETL has devised a methodology for normalizing FEED study metrics of interest and allowing cautious quantitative comparison across FEED studies. This presentation introduces the novel quantitative comparison methodology and presents results from utilizing this methodology to examine data presented in recent FEED study reports. The quantitative methodology developed for the examination of FEED study performance and cost also allows comparison of real-world performance and costs against NETL TEA model predicted performance and cost. Learnings from examining NETL model predicted performance and cost versus real world reported values are highlighted. These learnings provide insight into NETL TEA model uncertainty and highlight opportunities for further model development.

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FEED StudiesPre-FEEDSystems Analysistechno-economic analysis (TEA)

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Homsy, Sally [NETL] (ORCID:0000000327670031), Hughes, Sydney [NETL Site Support Contractor, National Energy Technology Laboratory], Fout, Timothy [Department of Energy (DOE)], Hancu, Dan [Department of Energy (DOE)], Hackett, Gregory [NETL] (ORCID:0000000341313209). 2025-09-16. Front-end engineering design (FEED) studies: a quantitative analysis. https://doi.org/10.2172/2589928

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