Enhanced Optimum Design And Performance Evaluation For Grid-Connected Solar Pv Rooptop Systems: A Case Study For Bangladesh

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Department of Electrical and Electronic Engineering


As the number of electric vehicles on the road continues to rise, the issue of charging becomes more pressing. It is essential to construct charging stations (CS), which are analogous to petrol stations, in order to meet the demand for recharging and make things more comfortable for drivers. Research on a novel charging station design that makes use of renewable energy sources was conducted for the purpose of this article. In order to deal with the unpredictability, a hierarchical energy management system that is geared toward real-time application has been developed. MATLAB simulation was used in order to establish the appropriate size of the CS by taking into account many objectives, such as economics, the environment, and the degradation of the battery energy storage system. Electric vehicles get their power from their batteries, and these batteries may be charged using either traditional or alternative forms of energy. In this work, the DC Converter for battery charging system for electrical cars that utilize solar is discussed. It is proposed that the Greatest Power Point Tracking (MPPT) algorithm be used to boost the efficiency of the PV system. This would allow for the maximum exploitation of the sun's available energy. Electronics of Power Supply Controlling the process of charging a battery for an electric vehicle may be accomplished with the help of a voltage regulator. The MATLAB/Simulink Simpower Systems are utilized in order to do an analysis on a simulation of the aforementioned system. Enhanced Optimum Design And Performance Evaluation For Grid-Connected Solar Pv Rooptop Systems: A Case Study For Bangladesh Natural gas, diesel, coal, and furnace oil are among the fossil fuels used in Bangladesh's electricity sector. Natural gas generated around 71.82 percent of the electricity used in Bangladesh during the 2019–20 fiscal year, with furnace oil coming in second with 13.25 percent, diesel third with 0.20 percent, coal fourth with 4.16 percent, and renewable energy sources fifth with 1.23 percent. In general, produced power cannot keep up with the nation's demand throughout the summer, which hinders the growth of socioeconomic infrastructure and industrial output. The earth's mean temperature is rising because of increasing greenhouse gas emissions brought on by the depletion of fossil fuel energy sources. The countrywide load-shedding of electricity has been rising because of a huge gas shortage that has led to a significant fall in power generation. In order to overcome these issues, renewable energy sources could be more beneficial to Bangladesh's electricity generation. Besides that, In Bangladesh, around 43 public and 103 private institutions demand a significant quantity of electricity for annual continuing education activities. The demand for electricity at these institutions grows year after year, placing a strain on the utility grid. This challenge, however, can be solved by utilizing the university's rooftop areas. This research goal to close a knowledge gap by enhancing the energy output of rooftop PV systems through roof design. Additionally, this study aims to reduce grid outages around the building, as well as the cost of energy (COE), dependence on the grid, and CO2 emissions. In This study, we designed and simulated the grid-tied rooftop solar Photovoltaic system by using SketchUp and PVsyst for educational-type consumer loads at the FSE building of IIUC, Kumira, Chittagong. And we also optimized the Energy consumption Bill of the FSE building by selling out the access electricity to the grid. Installing solar panels lessens our dependence on fossil fuels as a society and contributes to the fight against greenhouse gas emissions. Our planned project can serve as a tremendous source of inspiration for other organizations looking to install rooftop solar energy systems.


submitted by Md. Jahed Iqbal, bearing Matric ID. ET161042 and Md Kawsher Hamid, bearing Matric ID. ET173004 of session Spring 2021