A Novel Method for Solar Energy Harvesting Based On Optimization with Fuzzy Logic
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 7
Abstract
In the recent years, an impressive reduction is being seen in renewable energy a technology that costs as a result of R&D and accelerated deployment. Yet policy-makers are often not aware of the latest cost data. Portability improvement of technological devices has not been followed by energy accessibility of its batteries. Taking into account the low power consumption parameter of a variety of portable devices, the concept of energy harvesting from environmental sources and the human body has gained a new significance. In the search of methods and materials that go with this need, are the energy generated from the piezoelectricity, thermoelectricity, and electromagnetism, among others. This research gives the ways and future trend of energy harvesting methods, as well as its mechanisms in portable medical devices with low power consumption. In this research, we will focus on energy harvesting. Total illumination is calculated against the total time of harvesting. The experiment has been carried out in an environment which contains some consuming units with a total number of rooms. The width and height of the room are considered to be identical i.e. 100×100 having harvesting time of 10 hr. There are three environments in which experiment has been done such as sunny, cloudy and dark. Total illumination is calculated with and without optimization. ABC (Artificial Bee colony) algorithm is used for the optimization and the results obtained are compared with the without optimization results. Fuzzy logic is applied to calculate irradiation.
Authors and Affiliations
Yuvraj Singh Pathania, Dr. T. C. Bhagat, Er. Gurpreet Singh
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