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All Journal Journal of Engineering and Technological Sciences Jurnal Elektronika dan Telekomunikasi
Parsaulian Siregar
Instrumentation and Control Research Group, Engineering Physics Program Study, Faculty of Industrial Technology, Bandung Institute of Technology
Electrical & Electronics Engineering Engineering

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Structured Mathematical Modeling of Industrial Boiler Aziz, Abdullah Nur; Nazaruddin, Yul Yunazwin; Siregar, Parsaulian; Bindar, Yazid
Journal of Engineering and Technological Sciences Vol 46, No 1 (2014)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (728.325 KB) | DOI: 10.5614/j.eng.technol.sci.2014.46.1.7

Abstract

As a major utility system in industry, boilers consume a large portion of the total energy and costs. Significant reduction of boiler cost operation can be gained through improvements in efficiency. In accomplishing such a goal, an adequate dynamic model that comprehensively reflects boiler characteristics is required. This paper outlines the idea of developing a mathematical model of a water-tube industrial boiler based on first principles guided by the bond graph method in its derivation. The model describes the temperature dynamics of the boiler subsystems such as economizer, steam drum, desuperheater, and superheater. The mathematical model was examined using industrial boiler performance test data.It can be used to build a boiler simulator or help operators run a boiler effectively.
Advanced State Estimations for Gravitational Oil/Water Separator Tanks using a Kalman Filter and Multi-Model Hypothesis Testing Cahya, Zaid; Siregar, Parsaulian; Ekawati, Estiyanti; Bahiuddin, Irfan; Cahya, Dito Eka; Nugroho, Tsani Hendro; Taufiqurrohman, Heru; Boudaoud, Mohammed
Jurnal Elektronika dan Telekomunikasi Vol 25, No 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.682

Abstract

This paper presents a new application of the Kalman filter with Hypothesis testing for a fast and robust model-based estimator for measuring level interfaces of atmospheric gravitational oil-water separator tanks. A newly developed semi-empirical linearized model is applied in the estimator algorithm. A multi-model hypothesis-testing algorithm for covering more scenarios was deployed. The proposed method provides a cost-effective and straightforward solution for estimating all state variables in an oil-water separator. Our evaluation results demonstrate that the proposed algorithm achieves high accuracy with an observation error of less than 2% and a false alarm rate of 3.3% under 50-70% working conditions. Furthermore, the estimator can effectively handle process noise with a 10% feed offset. The proposed platform requires only a few installed sensors yet can accurately estimate unknown parameters. The proposed approach offers a robust and practical soft sensor solution for gravitational oil/water separators
Co-Authors Abdullah Nur Aziz Bahiuddin, Irfan Boudaoud, Mohammed Cahya, Dito Eka Cahya, Zaid Ekawati, Estiyanti Nugroho, Tsani Hendro Taufiqurrohman, Heru Yazid Bindar Yul Yunazwin Nazaruddin