Article
Version 1
This version is not peer-reviewed
Combustion Control of Ship’s Oil-Fired Boilers based on Prediction of Flame Images
Version 1
: Received: 25 July 2024 / Approved: 26 July 2024 / Online: 26 July 2024 (15:04:57 CEST)
How to cite: Lee, C.-M. Combustion Control of Ship’s Oil-Fired Boilers based on Prediction of Flame Images. Preprints 2024, 2024072201. https://doi.org/10.20944/preprints202407.2201.v1 Lee, C.-M. Combustion Control of Ship’s Oil-Fired Boilers based on Prediction of Flame Images. Preprints 2024, 2024072201. https://doi.org/10.20944/preprints202407.2201.v1
Abstract
This study proposes and validates a novel combustion control system for Oil-Fired Boilers aimed at reducing air pollutant emissions through flame image prediction. The proposed system is easily applicable to existing ships. Traditional proportional combustion control systems supply fuel and air at fixed ratios according to the set steam load, without considering the emission of air pollutants. To address this, a stable and immediate control system is proposed, which adjusts the air supply to modify the combustion state.
The combustion control system utilizes oxygen concentration predictions from flame images via SEF+SVM as control inputs, and applies Internal Model Control (IMC)-based Proportional-Integral (PI) control for real-time combustion control. Due to the complexity of modeling the image-based system, IMC parameter tuning through experimentation is essential for achieving effective control performance. Experiments conducted on a 3000 kg/h marine oil-fired boiler in actual operation optimized the controller parameters for stability and responsiveness, and validated their effectiveness.
The results demonstrate the potential of the proposed system to improve combustion efficiency and reduce emissions of air pollutants. This study provides a feasible and effective solution for enhancing the environmental performance of marine oil-fired boilers. Given its ease of application to existing ships, it is expected to contribute to sustainable air pollution reduction across the maritime environment.
Keywords
Combustion control; Emission prediction; IMC-based PI Control; Real-Time Control; Performance assessment
Subject
Engineering, Control and Systems Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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