Nasrul Amri Mohd Amin
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Preferred name
Nasrul Amri Mohd Amin
Official Name
Nasrul Amri Mohd, Amin
Alternative Name
Mohd Amin, Nasrul Amri
Amin, N. A.M.
Amin, N.
Amin, Nasrul Amri Mohd
Mohd. Amin, Nasrul Amri
Mohd Amin, N. A.
Mohd, N. A.
Main Affiliation
Scopus Author ID
57208572998
Researcher ID
ABD-8383-2020

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  • Publication
    Statistical Analysis on The Near-Wake Region of RANS Turbulence Closure Models for Vertical Axis Tidal Turbine
    ( 2023-01-01)
    Rahim M.W.A.
    ;
    Anas Abdul Rahman
    ;
    Abdul-Rahman A.
    ;
    Muhammad Izham Ismail
    ;
    Mohd Shukry Abdul Majid
    ;
    Nasrul Amri Mohd Amin
    The flow field in the near wake region (up to six turbine diameters downstream) of a tidal current turbine is strongly driven by the combined wake of the device support structure and the rotor. Accurate characterisation of the near-wake region is important, but it is dominated by highly turbulent, slow-moving fluid. At present, limited number of researches has been undertaken into the characterisation of the near-wake region for a Vertical Axis Tidal Turbine (VATT) device using the Reynolds Averaged Navier Stokes (RANS) model in the shallow water environment of Malaysia. This paper presents a comprehensive statistical analysis using the Mean Absolute Error (MEA), Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) on the near-wake region for shallow water application by comparing numerical solutions (i.e., different types of RANS turbulence models using Ansys Fluent) with published experimental data. Seven RANS turbulence models with a single VATT, represented by using a cylindrical object, were employed in the preliminary study. The statistical analysis performed in this study is essential in exploring and giving a detailed understanding on the most suitable RANS turbulence model to be improved, specifically on its near-wake region. In this study, the near wake region is defined as D ≤ 6, where D is the device diameter. The analysis shows that the RANS numerical solutions are unable to accurately replicate the near-wake region based on large statistical errors computed. The average RMSE of near-wake region at z/D = [2, 3, 4, 6] are 0.5864, 0.4127, 0.4344 and 0.3577 while the average RMSE at far-wake region z/D = [8, 12] are 0.2269 and 0.1590, where z is the distance from the cylindrical object along the length of domain. The statistical error values are found to decrease with increasing downstream distance from a cylindrical object. Notably, the standard k–ε and realizable k–ε models are the two best turbulent models representing the near-wake region in RANS modelling, yielding the lowest statistical errors (RMSE at z/D = [2, 3, 4, 6] are 0.5666, 0.4020, 0.4113 and 0.3455) among the tested parameters.
      28  2
  • Publication
    Statistical analysis on the near-wake region of RANS Turbulence Closure Models for Vertical Axis Tidal Turbine
    ( 2023-01-01)
    Muhammad Wafiuddin Abd Rahim
    ;
    Anas Abdul Rahman
    ;
    Ayu Abdul-Rahman
    ;
    Muhammad Izham Ismail
    ;
    Mohd Shukry Abdul Majid
    ;
    Nasrul Amri Mohd Amin
    The flow field in the near wake region (up to six turbine diameters downstream) of a tidal current turbine is strongly driven by the combined wake of the device support structure and the rotor. Accurate characterisation of the near-wake region is important, but it is dominated by highly turbulent, slow-moving fluid. At present, limited number of research has been undertaken into the characterisation of the near-wake region for a Vertical Axis Tidal Turbine (VATT) device using the Reynolds Averaged Navier Stokes (RANS) model in the shallow water environment of Malaysia. This paper presents a comprehensive statistical analysis using the Mean Absolute Error (MEA), Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) on the near-wake region for shallow water application by comparing numerical solutions (i.e., different types of RANS turbulence models using Ansys Fluent) with published experimental data. Seven RANS turbulence models with a single VATT, represented by using a cylindrical object, were employed in the preliminary study. The statistical analysis performed in this study is essential in exploring and giving a detailed understanding on the most suitable RANS turbulence model to be improved, specifically on its near-wake region. In this study, the near wake region is defined as D ≤ 6, where D is the device diameter. The analysis shows that the RANS numerical solutions are unable to accurately replicate the near-wake region based on large statistical errors computed. The average RMSE of near-wake region at z/D = [2, 3, 4, 6] are 0.5864, 0.4127, 0.4344 and 0.3577 while the average RMSE at far-wake region z/D = [8, 12] are 0.2269 and 0.1590, where z is the distance from the cylindrical object along the length of domain. The statistical error values are found to decrease with increasing downstream distance from a cylindrical object. Notably, the standard k–ε and realizable k–ε models are the two best turbulent models representing the near-wake region in RANS modelling, yielding the lowest statistical errors (RMSE at z/D = [2, 3, 4, 6] are 0.5666, 0.4020, 0.4113 and 0.3455) among the tested parameters
      1  28
  • Publication
    Statistical analysis on the near-wake region of RANS turbulence closure models for vertical axis tidal turbine
    ( 2022)
    Muhammad Wafiuddin Abd Rahim
    ;
    Anas Abdul Rahman
    ;
    Ayu Abdul-Rahman
    ;
    Muhammad Izham Ismail
    ;
    Mohd Shukry Abdul Majid
    ;
    Nasrul Amri Mohd Amin
    The flow field in the near wake region (up to six turbine diameters downstream) of a tidal current turbine is strongly driven by the combined wake of the device support structure and the rotor. Accurate characterisation of the near-wake region is important, but it is dominated by highly turbulent, slow-moving fluid. At present, limited number of research has been undertaken into the characterisation of the near-wake region for a Vertical Axis Tidal Turbine (VATT) device using the Reynolds Averaged Navier Stokes (RANS) model in the shallow water environment of Malaysia. This paper presents a comprehensive statistical analysis using the Mean Absolute Error (MEA), Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) on the near-wake region for shallow water application by comparing numerical solutions (i.e., different types of RANS turbulence models using Ansys Fluent) with published experimental data. Seven RANS turbulence models with a single VATT, represented by using a cylindrical object, were employed in the preliminary study. The statistical analysis performed in this study is essential in exploring and giving a detailed understanding on the most suitable RANS turbulence model to be improved, specifically on its near-wake region. In this study, the near wake region is defined as D ≤ 6, where D is the device diameter. The analysis shows that the RANS numerical solutions are unable to accurately replicate the near-wake region based on large statistical errors computed. The average RMSE of near-wake region at z/D = [2, 3, 4, 6] are 0.5864, 0.4127, 0.4344 and 0.3577 while the average RMSE at far-wake region z/D = [8, 12] are 0.2269 and 0.1590, where z is the distance from the cylindrical object along the length of domain. The statistical error values are found to decrease with increasing downstream distance from a cylindrical object. Notably, the standard k–ε and realizable k–ε models are the two best turbulent models representing the near-wake region in RANS modelling, yielding the lowest statistical errors (RMSE at z/D = [2, 3, 4, 6] are 0.5666, 0.4020, 0.4113 and 0.3455) among the tested parameters
      5  17
  • Publication
    Tidal energy in Malaysia: an overview of potentials, device suitability, issues and outlook
    (Elsevier, 2023)
    M.W. Abd Rahim
    ;
    Anas Abdul Rahman
    ;
    Muhammad Izham Ismail
    ;
    Nasrul Amri Mohd Amin
    Malaysia is heavily dependent on non-renewable energy sources for electricity generation, particularly fossil fuels such as coal, oil, and gas. However, the alarming increase in CO2 emissions and the depletion of fossil fuel reserves have given rise to imminent challenges in meeting the strong demand for electricity in Malaysia. Thus, this paper explores various types of tidal stream devices that have been experimentally developed for electricity generation and are well established, with a specific focus on potential devices to be implemented in the shallow water environment of Malaysia. These devices are chosen based on the average Malaysian tidal stream velocity, which is approximately 1.0 ms−1, and the average Malaysian water depth, which is approximately 30 m. The selection of the appropriate device is based on six fundamental criteria: (i) power density, (ii) scalability, (iii) durability, (iv) maintainability, (v) economic potential, and (vi) potential issues. Moreover, previous research and development (R&D) studies on tidal streams in Malaysia are taken into consideration in order to identify the most suitable device. Based on the review, it is concluded that the vertical axis tidal turbine (VATT) is the most suitable device for utilisation in the shallow water environment of Malaysia.
      22  2