Theses, Dissertations & Reports

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    Smart Hybrid Power Consumption System for Green Future Energy: Cost and Social Benefits Analysis
    (Department of Electrical and Electronic Engineering, 2022-07) Nupur, Kamrun Nahar; Salim, Sumaita Binte
    The purpose of this thesis is to lead smart power grid system towards focusing on green future energy. The research world is always looking for mobility and different innovative work types for making human life more upgraded and easier. Due to coping with the ongoing modern world, the energy demand also increases dramatically over the years. Consequently, to meet that energy demand and bring sustainability over the grid system research world is diverting towards renewable energy more and sustainable energy. Various countries of the world have come forward in the age of smart grid and acknowledge its verity. Several are working on smart grid pilot project or taking persuasive of this concept for experimenting and research with the purpose of testing probabilities before on full scale advancement and change. To lessen carbon emission and energy security, government of various countries all over the world are already seeing possibilities like smart grid. Reviewing the scenario of smart grid system for all over the world, Asian region and for Bangladesh, the purpose of this thesis is to design a hybrid power system with PV and conventional power plant for leading the smart grid system towards focusing on green future energy. The further explanation is about the designed model by MATLAB Simulink approaching to smart grid development. In addition, the comprehensive analysis of power consumption for about 30 years, CO2 emission calculation only for conventional power system, PV system implementation cost, CO2 emission comparison with and without the proposed system, CO2 reduction rate analysis and social benefit, consumer benefit for about 30 years after combining the PV system with conventional power system. Finally, the paper concludes with the suggestions of environment impact analysis as well as green future energy.