Comparative Study with Fuzzy Logic System for Renewable Green Energy Generation

2023 IEEE 8th International Conference for Convergence in Technology (I2CT) Pub Date : 2023-04-07 DOI:10.1109/I2CT57861.2023.10126225

Dipali Padwad, H. Naidu

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Abstract

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.

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与模糊逻辑系统在可再生绿色能源发电中的比较研究

在不破坏环境的情况下，利用人造光研究植物生物量生长潜力的可再生绿色能源发电正在进行实验，并实施模糊逻辑，与实际实验结果进行比较。在全球范围内，植物在自然界中是丰富的，并且通过了解其内部的发电潜力而变得更加有用，这可以作为一种替代能源来减少二氧化碳排放以及环境温度，以防止全球变暖。本文将植物微生物燃料技术(PMFC)应用于万寿菊、玫瑰、夹竹桃、香菜、芥菜、番茄和薄荷等植物上，利用铜和铁电极产生绿色电力，并对生物质生长潜力进行了研究。结果令人满意，因为人造光的波长变化增强了发电的隐藏潜力和生物质的生长潜力。通过引入升压变换器模型，在MATLAB软件中进行了仿真，得到了满意的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2023 IEEE 8th International Conference for Convergence in Technology (I2CT)

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