Title
An Ultrasonic-Capacitive System for Online Characterization of Fuel Oils in Thermal Power Plants
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.
Year
DOI
Venue
2021
10.3390/s21237979
SENSORS
Keywords
DocType
Volume
heat value, heavy fuel oil, thermal power plant, ultrasonic-capacitive system, water content
Journal
21
Issue
ISSN
Citations 
23
1424-8220
0
PageRank 
References 
Authors
0.34
0
11