Eventos Anais de eventos
ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
Predictive Monitoring Applied to Steam Turbines Performance in the Petrochemical Industry
Submission Author:
Djalma Demasi , RJ
Co-Authors:
Andrey Medeiros Baptista, Djalma Demasi
Presenter: Andrey Medeiros Baptista
doi://10.26678/ABCM.ENCIT2020.CIT20-0382
Abstract
The petrochemical industries contribute a significant portion of the national Gross Domestic Product, characterized by the high capital investment in the construction and maintenance areas of its units, with steam turbine as one of its main assets. Monitoring panels enable better monitoring of equipment performance, as they are capable of carrying out various analyzes in short time intervals. The objective of this work is to present a proposal for a predictive monitoring panel for a two-stage steam turbine in a petrochemical plant with process information limited to temperature, pressure and mass flow. Monitoring takes place in real time for greater reliability of the equipment. The methodology consists of applying the linear regression method with multiple variables to the process information for calculate the enthalpies of steam at the outputs of the stages. Applying of thermodynamic equations enshrined in the literature, important parameters for the predictive plant are estimated, such as efficiency, power and steam quality. For the mentioned conditions, the isentropic efficiency test is indicated. A database covering a period of two years was analyzed and the expected behavior of the variables proved to be consistent with the theory, validating the method.
Keywords
Steam Turbine, Turbine performance, thermodynamic modeling, Predictive monitoring, Multiple Linear Regression
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