Comparative Study with Fuzzy Logic System for Renewable Green Energy Generation

Renewable green energy generation with the study of biomass growth potential of plants using artificial light without any damage to environment is being experimented and the fuzzy logic is being implemented to compare with the actual experimental results. Plants are available abundantly in nature across the globe and become more useful by knowing the electric generation potential inside it which acts as an alternative energy source to curtail the CO2 emission as well as environmental temperature to prevent global warming. In this paper, Plant Microbial Fuel Technology (PMFC) is used on Marigold, Rose plant, Nerium Oleander, Coriander, Mustard, Tomato and Mint plants for generation of green electricity using copper and iron electrodes including study of biomass growth potential. The results are satisfactory since it concludes that hidden potential of generation of electricity and the biomass growth potential enhanced due to wavelength variations of artificial light. The voltage obtained in the plants is enhanced by introducing Boost converter model which is simulated in the MATLAB software and gave satisfactory results.