Ghulam Farid - Academia.edu (original) (raw)
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Shanghai Jiaotong University
Prince Mohammad Bin Fahd University, Al Khobar, Saudi Arabia
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Papers by Ghulam Farid
Thermal energy storage has immense economic prospective for solar energy application in waste hea... more Thermal energy storage has immense economic prospective for solar energy application in waste heat and industrial process heat applications. One of the attractive options for thermal energy storage is latent heat energy storage, which is based on heat absorption or release when a material undergoes phase change. Such materials are called phase change materials (PCM). In this work, a model based on the two phase one-dimensional Neumann solution of phase change problem, has been developed in MATLAB to study the heat transfer characteristics of a PCM. This model has been simulated with n-octadecane as PCM, which has a melting temperature of 27.7 °C. It qualifies as a promising PCM because of its suitable thermo-physical properties and uniform melting temperature. The melt fraction and latent energy stored by the PCM have been calculated. These results have been verified by comparing with that of one-dimensional Costa model under two different scenarios i.e. with conduction only and conduction plus convection.
Solar modules offer environment friendly source of power. Maximum power point tracking (MPPT) tec... more Solar modules offer environment friendly source of power. Maximum power point tracking (MPPT) technique is employed to excerpt maximum power from the solar modules. Conferring to maximum power transfer theorem, maximum quantity of power is conveyed when the load impedance equals the output impedance of solar module. A DC-DC boost converter is engaged to match the impedance of load and solar module by altering its duty cycle through pulse width modulation (PWM). Point where impedance matches is named as peak operating point (POP) and process of tracking this point is called maximum power point tracking (MPPT). Maximum power operating point (MPOP) normally depends upon radiations of sun, load current and temperature of the solar module. In this paper, optimization of Perturbation and Observation (P&O) Algorithm is verified for maximum power point tracking (MPPT) system using Matlab/Simulink environment.
Thermal energy storage has immense economic prospective for solar energy application in waste hea... more Thermal energy storage has immense economic prospective for solar energy application in waste heat and industrial process heat applications. One of the attractive options for thermal energy storage is latent heat energy storage, which is based on heat absorption or release when a material undergoes phase change. Such materials are called phase change materials (PCM). In this work, a model based on the two phase one-dimensional Neumann solution of phase change problem, has been developed in MATLAB to study the heat transfer characteristics of a PCM. This model has been simulated with n-octadecane as PCM, which has a melting temperature of 27.7 °C. It qualifies as a promising PCM because of its suitable thermo-physical properties and uniform melting temperature. The melt fraction and latent energy stored by the PCM have been calculated. These results have been verified by comparing with that of one-dimensional Costa model under two different scenarios i.e. with conduction only and conduction plus convection.
Solar modules offer environment friendly source of power. Maximum power point tracking (MPPT) tec... more Solar modules offer environment friendly source of power. Maximum power point tracking (MPPT) technique is employed to excerpt maximum power from the solar modules. Conferring to maximum power transfer theorem, maximum quantity of power is conveyed when the load impedance equals the output impedance of solar module. A DC-DC boost converter is engaged to match the impedance of load and solar module by altering its duty cycle through pulse width modulation (PWM). Point where impedance matches is named as peak operating point (POP) and process of tracking this point is called maximum power point tracking (MPPT). Maximum power operating point (MPOP) normally depends upon radiations of sun, load current and temperature of the solar module. In this paper, optimization of Perturbation and Observation (P&O) Algorithm is verified for maximum power point tracking (MPPT) system using Matlab/Simulink environment.