Browsing by Author "Uddin, Md. Mezbah"
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Item A Preliminary Assessment of Power Savings by Flettner Rotors Installed on a Cargo Ship(Research and Development Wing, MIST, 2025-06) Hasan Moon, Mahin; Ariyan Zaman, Sikder; Hussain, Md. Daluar; Uddin, Md. MezbahIn response to increasingly stringent environmental regulations by the International Maritime Organization (IMO), this study presents a preliminary assessment of Flettner rotors as a viable wind-assisted propulsion system for cargo ships. Using RANS-based Computational Fluid Dynamics (CFD), the aerodynamic performance of various rotor configurations is evaluated under different wind speeds, spin ratios, and angles of attack. Initially, an isolated 2D and 3D rotor at model scale are simulated for various operating conditions. A grid convergence study is conducted as part of the CFD results verification process. A cargo ship fitted with Flettner rotors is simulated to compute resistance and to evaluate rotor to rotor interaction. The obtained results and analyses demonstrate that, under optimal conditions, Flettner rotors have the potential to reduce fuel consumption and emissions by around 20%, significantly enhancing propulsive efficiency.Item Fuel Cell Modeling And Simulation (Renewable Energy)(Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2013-11-15) Ahmed, Shadman Shahriare; Uddin, Md. Mezbah; Rifat, Sunviraj IslamThis paper presents a linearized dynamic model of a Solid Oxide Fuel Cell (SOFC) and its performance test under DC operation conditions. The model based on electrochemical, Nernst voltage equations and all voltage losses. The output voltage response of a stand-alone fuel-cell plant to a step load change, a fuel flow step change, and fast load variations are simulated to illustrate the dynamic behavior of SOFC for fast and slow perturbations. However, the partial pressure of the species (fuel, air, and water) in the distributed model is assumed to vary through the length of the fuel cell. After developing a linearized model, we check the stability of our system. SOFC model is developed on MATLAB environment. The performance of this model is compared with a detailed distributed model and experimental results. A method for interfacing the proposed fuel-cell models to a power system stability package is developed
