Eventos Anais de eventos
COBEM 2021
26th International Congress of Mechanical Engineering
Implementation of a Supervisory System with Lambda Wideband Sensor for Analysis of Oxygen Concentration in Industrial Combustion Processes
Submission Author:
João Vitor Silva , SP
Co-Authors:
João Vitor Silva, Fernando Araujo, Daniel Julien Barros da Silva Sampaio, João Carvalho
Presenter: João Vitor Silva
doi://10.26678/ABCM.COBEM2021.COB2021-0125
Abstract
The high quality standards imposed in the current industry, and the need to maintain competitiveness in markets increasingly saturated of participants, have been forcing companies to seek innovative solutions that ensure a better benefit-cost ratio. In addition, there is a demand to meet strict rules elaborated to reduce the environmental impact caused by emissions from industrial processes. Thus, a movement in industries aiming for solutions to optimize industrial combustion processes has recently begun. In this sense, the excess air control is able to increase thermal efficiency and also promote a considerable reduction in the emission of pollutants. The Industry 4.0 advent has enabled the development of systems, both accurate and reliable, which allow the analysis of the concentration of components present in combustion products emitted by industrial processes. Currently, most flue gas analyzers are expensive and require periodic maintenance. In this context, this project aims to develop a system for the acquisition and processing of data from a low-cost automotive lambda sensor, in order to analyze the oxygen concentration in industrial combustion processes. Initially, a test bench is proposed, composed of a wideband automotive lambda sensor, which allows operation with high air-fuel ratios, installed in a liquefied petroleum gas (LPG) combustion chamber. A microcontroller (Arduino) will also be installed, which in turn is responsible for obtaining the data provided by the lambda sensor and its integration with MATLAB. The oxygen concentration and lambda factor will be presented to the user in a graphical interface. Given a certain fuel, whose composition is known, the oxygen concentration makes it possible to analyze the adiabatic flame temperature and combustion efficiency. The results will be validated through a comparative analysis with the data found in the literature and also with the values provided by a calibrated flue gas analyzer (Lancom III), which performs oxygen measurements with an accuracy of ±1%. Finally, a statistical study will be conducted in order to verify the susceptibility and accuracy of the proposed combustion bench. Studies conducted in several scientific researches have proved the feasibility of using automotive lambda sensors to analyze the oxygen concentration in combustion processes. Nevertheless, few have used wideband sensors associated with microcontrollers and a graphical interface. That is, this project innovates by integrating a Smart manufacturing (Industry 4.0) concept, through the association between the Arduino platform and computational resources.
Keywords
energy efficiency, Industrial combustion, Lambda sensor, Oxygen concentration, industry 4.0
