Pressure drop dynamic in a convective axis regenerative boiler using heavy crude oil

Pressure drop dynamic in a convective axis regenerative boiler using heavy crude oil | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Pressure drop dynamic in a convective axis regenerative boiler using heavy crude oil Luis Fernando Prieto Montenegro, Reni Danilo Vinocunga-Pillajo, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6550938/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Crude oil is a source of energy, but its use in thermoelectric power plants generates deposits in the heaters and reheaters of the convective axis, decreasing thermal efficiency and increasing fuel consumption. The study aimed to analyze the pressure drop dynamics in the heaters and reheaters of the convective axis of a regenerative steam generator using heavy crude oil. The research was conducted at Unit 6 of 10 de Octubre Thermoelectric Power Plant in Cuba, where the pressure drop dynamics of a 125 MW steam generator were analyzed using real-time monitoring and predictive models based on operational data. Theoretical and actual values were compared within power ranges of 60-125 MW, with measurements taken using inline sensors and equations to determine path losses. The results showed an exponential increase in pressure drop, particularly at 90–95 MW and 120–125 MW, due to the accumulation of deposits, affecting gas circulation and operational stability. The models obtained presented determination coefficients higher than 0.9, validating their predictive accuracy. The accumulation of deposits on heat transfer surfaces increases pressure drop, reduces power, and raises fuel consumption. Continuous monitoring and predictive models optimize cleaning intervals. Mechanical Engineering Energy Engineering Chemical Engineering Cleaning intervals Operational optimization Predictive models. Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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