Energy is the necessity having utmost importance, also is a priority factor for the development of modern era countries. Current time calls for the bulk of energy supply as various nations are on the verge of the energy crisis, RE (Renewable Energy) resources like wind systems, solar panels, and tidal wave, etc. are the best options available in the current era for energy supply. The most abundant resource of RE is the solar system which is available from the sun itself. The sun is the source of sufficient energy supply and it can be used throughout the year. Electricity generation due to the reduction of fuels is the biggest challenge that will have adverse effects to be faced in the upcoming future. Electricity generation via solar energy is costly. Energy from PV (Photovoltaic) cells depends on solar insulation. Maximum energy extracted from the sun by the plane of the solar collector should be normal to incident radiation. Improving efficiency by the change in design then implement on solar tracker system to collect maximum solar power extraction with the association of the panels and the sun itself. The system tracks the maximum intensity of light by adjusting the panels to normal to incident light. The sun tracking system uses four light-dependent resistors used as a sensor for finding a brighter point in the sky. Rotating DC Motor can be controlled via signal and data processing based on micro-controller, by doing so the performance parameters of this system are now dependent on features such as solar radiation, hourly electrical power, the maximum gain of energy, additionally short circuit and open circuit current are compared with the fixed-tilt solar collector.
In this paper, we present our research, where residents purchase and sell locally produced renewable energy from each other. In this research work, we integrate block chain technology to create peer-to-peer marketplaces for distributed energy. First, we use a smart energy meter to measure various important parameters of electrical energy. In this proposed work, the initial measurements of the current are being performed with the help of hall effect sensor due to its accuracy. Second, supply voltage is calculated with the help of a transformer and DC biasing method. The apparent power is calculated by multiplying the measured current and voltage, and then the energy parameter is obtained. Using this smart energy meter, we obtain our desired parameters with sufficient accuracy of nearly 90 percent. These obtained parameters and results are directly uploaded to Amazon Web Server(AWS). We also develop an android app that connects with the AWS server. The designed system facilitates the users to perceive these electrical parameters on meter having built-in LCD display which shows all measured results including a number of units consumed, and billing information anywhere around the world. Finally, we develop a smart contract on Ethereum block chain which can transact the number of tokens according to the units sold or purchased by the users. The Consumer can set their selling rate through the app. Any user with this app is able to take their readings live to their smart phone.
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