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An Ultrasonic-Capacitive System for Online Characterization of Fuel Oils in Thermal Power Plants.

Authors :
Campos, Mateus Mendes
Borges-da-Silva, Luiz Eduardo
Arantes, Daniel de Almeida
Teixeira, Carlos Eduardo
Bonaldi, Erik Leandro
Lambert-Torres, Germano
Ribeiro Junior, Ronny Francis
Krupa, Gabriel Pedro
Sant'Ana, Wilson Cesar
Oliveira, Levy Ely Lacerda
de Paiva, Renato Guth
Source :
Sensors (14248220). Dec2021, Vol. 21 Issue 23, p7979. 1p.
Publication Year :
2021

Abstract

This paper presents a ultrasonic-capacitive system for online analysis of the quality of fuel oils (FO), which are widely used to produce electric energy in Thermal Power Plants (TPP) due to their elevated heating value. The heating value, in turn, is linked to the quality of the fuel (i.e., the density and the amount of contaminants, such as water). Therefore, the analysis of the quality is of great importance for TPPs, either in order to avoid a decrease in generated power or in order to avoid damage to the TPP equipment. The proposed system is composed of two main strategies: a capacitive system (in order to estimate the water content in the fuel) and an ultrasonic system (in order to estimate the density). The conjunction of the two strategies is used in order to estimate the heating value of the fuel, online, as it passes through the pipeline and is an important tool for the TPP in order to detect counterfeit fuel. In addition, the ultrasonic system allows the estimation of the flow rate through the pipeline, hence estimating the amount of oil transferred and obtaining the total mass transferred as a feature of the system. Experimental results are provided for both sensors installed in a TPP in Brazil. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14248220
Volume :
21
Issue :
23
Database :
Academic Search Index
Journal :
Sensors (14248220)
Publication Type :
Academic Journal
Accession number :
154080596
Full Text :
https://doi.org/10.3390/s21237979