Abstract
Heat exchanger fouling is problematic in crude oil refining, impacting energy consumption, greenhouse gas emissions, plant capacity, and maintenance budget. As part of the digital transformation journey at TotalEnergies and with advances in research on hydrocarbon fouling, advanced fouling monitoring and prediction tool (HTRI SmartPMTM) was implemented throughout TotalEnergies to better manage fouling in heat exchangers. The SmartPM software performs advanced data reconciliation, including simulation of detailed exchanger operational data using proprietary HTRI shell-and-tube heat exchanger calculation methods. After deployment and adoption of the software for fouling monitoring and reporting, the predictive functionalities have been applied to several feasibility studies concerning energy efficiency and CO2 emissions reduction projects. The present work describes the predictive study of the cleaning schedule of a refinery. The result of this study is an industrial project proposal on the installation of new bypasses across selected exchangers, leading to an economically optimized cleaning strategy, savings in the fuel consumption of the crude preheat furnace, and the reduction in CO2 emissions associated to its combustion.
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