<p>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 the 10 de octubre Thermoelectric Power Plant in Cuba, where the pressure drop dynamics of a 125&#xa0;MW steam generator were analyzed using real-time monitoring and predictive models based on operational data. Theoretical and actual values were compared within the power ranges of 60–125&#xa0;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&#xa0;MW and 120–125&#xa0;MW due to the accumulation of deposits, affecting gas circulation and operational stability. The models obtained presented determination coefficients of more 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.</p>

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

  • Luis Fernando Prieto Montenegro,
  • Reni Danilo Vinocunga-Pillajo,
  • Isnel Benítez Cortés,
  • Julio Madera Quintana,
  • Yosvany González Díaz,
  • Francisco García Reina,
  • Grety Márquez Peñamaría,
  • Estela Guardado Yordi,
  • Amaury Pérez Martínez

摘要

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 the 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 the 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 of more 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.