Development of web-based interface for dry-low emission gas turbine using raspberry Pi

Development of web-based interface for dry-low emission gas turbine using raspberry Pi

MOCHAMMAD Faqih, JEREMY Peter James, MADIAH Binti Omar, ROSDIAZLI Bin Ibrahim

Abstract. In recent years, Dry-Low Emission (DLE) mode has been popular in gas turbine applications which can reduce emission production while maintaining high performance by operating the combustion at a low firing temperature. However, this type of combustor is prone to experience trips due to lean blowout occurrences and combustion instability. Dynamic simulation is needed to investigate the system’s behavior in mitigating the tripping problem. Therefore, this paper proposed a simulator of the DLE gas turbine using Raspberry Pi, which can be accessed through the local server. Rowen’s model is modified to represent the DLE gas turbine system, and its physical model is developed using open-source software, namely Scilab/XCos. The model is then attached to a web-based interface developed using Python and HTML programming language. The deployment of the web-based interface enables the gas turbine model to be accessed remotely without caring about the device’s location by connecting the mobile to the same Wi-Fi router. This simulator will help improve the technical know-how of DLE gas turbine operation and can be embedded in the plant control system as a predictive maintenance tool.

Keywords
Dry-Low Emission Gas Turbine, Rowen’s Model, Scilab/XCos, Raspberry Pi, Python, HTML

Published online 5/20/2023, 9 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: MOCHAMMAD Faqih, JEREMY Peter James, MADIAH Binti Omar, ROSDIAZLI Bin Ibrahim, Development of web-based interface for dry-low emission gas turbine using raspberry Pi, Materials Research Proceedings, Vol. 29, pp 209-217, 2023

DOI: https://doi.org/10.21741/9781644902516-24

The article was published as article 24 of the book Sustainable Processes and Clean Energy Transition

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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