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Development of CAVLAB—A Control-Oriented MATLAB Based Simulator for an Underground Coal Gasification Process

Author

Listed:
  • Afaq Ahmed

    (Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 45550, Pakistan)

  • Syed Bilal Javed

    (Centers of Excellence in Science & Applied Technologies, Islamabad 44000, Pakistan)

  • Ali Arshad Uppal

    (Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 45550, Pakistan)

  • Jamshed Iqbal

    (School of Computer Science, Faculty of Science and Engineering, University of Hull, Hull HU6 7RX, UK)

Abstract

The Cavity Simulation Model (CAVSIM) is a 3D, parameterisable simulator of the Underground Coal Gasification Process (UCG) that serves as a benchmark for UCG prediction. Despite yielding accurate outputs, CAVSIM has some limitations, which chiefly include inadequate graphical capabilities to visualise cavity geometry and gas production, time-ineffectiveness in terms of parametrisation, i.e., it involves editing, compiling multiple files and checking for errors, and lack of tools to synthesise a controller. Therefore, to compensate for these shortcomings, the services of third-party software, such as MATLAB, must be procured. CAVSIM was integrated with MATLAB to utilise its functionalities and toolboxes such as System Identification, Neural Network, and Optimization Toolbox etc. The integration was accomplished by designing C-mex files, and furthermore, the simulation results in both environments exhibit the same behaviour, demonstrating successful integration. Consequently, CAVSIM has also acquired a controllable structure, wherein parametrisation is now a single-click process; this is demonstrated by a case study outlining the implementation of Model Predictive Control (MPC) on a UCG plant. Moreover, the performance metrics, i.e., Mean Average Error (MAE) and Root Mean Square Error (RMSE) of 0.13, 0.23 for syngas heating value, and 0.012, 0.02 for flowrate quantitatively establishes the efficacy of CAVLAB in designing MPC for the UCG system. The novelty of this work lies in making the software package open-source with the aim of streamlining the research of multiple aspects of the UCG process.

Suggested Citation

  • Afaq Ahmed & Syed Bilal Javed & Ali Arshad Uppal & Jamshed Iqbal, 2023. "Development of CAVLAB—A Control-Oriented MATLAB Based Simulator for an Underground Coal Gasification Process," Mathematics, MDPI, vol. 11(11), pages 1-26, May.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:11:p:2493-:d:1158328
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    References listed on IDEAS

    as
    1. Javed, Syed Bilal & Uppal, Ali Arshad & Bhatti, Aamer Iqbal & Samar, Raza, 2019. "Prediction and parametric analysis of cavity growth for the underground coal gasification project Thar," Energy, Elsevier, vol. 172(C), pages 1277-1290.
    2. Muhammad Imam Ammarullah & Gatot Santoso & S. Sugiharto & Toto Supriyono & Dwi Basuki Wibowo & Ojo Kurdi & Mohammad Tauviqirrahman & J. Jamari, 2022. "Minimizing Risk of Failure from Ceramic-on-Ceramic Total Hip Prosthesis by Selecting Ceramic Materials Based on Tresca Stress," Sustainability, MDPI, vol. 14(20), pages 1-12, October.
    3. Javed, Syed Bilal & Uppal, Ali Arshad & Samar, Raza & Bhatti, Aamer Iqbal, 2021. "Design and implementation of multi-variable H∞ robust control for the underground coal gasification project Thar," Energy, Elsevier, vol. 216(C).
    4. Andersson, Christian & Führer, Claus & Åkesson, Johan, 2015. "Assimulo: A unified framework for ODE solvers," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 116(C), pages 26-43.
    5. Risky Utama Putra & Hasan Basri & Akbar Teguh Prakoso & Hendri Chandra & Muhammad Imam Ammarullah & Imam Akbar & Ardiyansyah Syahrom & Tunku Kamarul, 2023. "Level of Activity Changes Increases the Fatigue Life of the Porous Magnesium Scaffold, as Observed in Dynamic Immersion Tests, over Time," Sustainability, MDPI, vol. 15(1), pages 1-13, January.
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