| dc.description.abstract | Electricity is a vital power source for the world's rapidly rising population, and its usage of
conventional resources is hazardous to the world environs. This cause is related to the
destruction of the atmosphere and environs, so effective decision is essential to overcome
these challenges, which resulted in the rapid development of sustainable. Geothermal,
Hydropower, Solar, Biofuels & wind energy are the main renewable resources with
contributed to the development of our country and their market have been growing at rapid
pace since the Indian government introduce different economic policies to reduce the
generation of greenhouse gasses. Beyond this renewable energy, solar energy is most
favourable energy regarding India where on average 245 days of clear sky out of 365 days.
Sun energy is gaining popularity and is poised to be among the most essential components of
the future of the planet power harvesting and financial growth. The use of low-cost, energy efficient solar power systems is one strategy to upsurge the usage of Sun power schemes,
particularly in rural and underdeveloped areas. There are various types of solar power system
to extract electricity or heat energy.
This report dispenses the design, working and result analysis of a two-axis soft computing
and GPS based solar energy harvesting system. This Nobel method improved result compare
to various solar power extractors like, Stable panel system, one axis LDR centred Sun tracer,
two axis LDR centred Sun tracer. The above said Sun energy extractor system have various
draw back which is remove in applied system. LDR sensor based sun followers have low
tracking accuracy and because of an electrical part low sensitivity to climate and can damage
by lightning discharge, It works on the sensor so its tracker is obstructed which produce
hampers in energy production and System require continuously monitored. We have also
simulated the hybrid system and performance parameter is evaluated. | en_US |
