Journal: Int. J Adv. Std. & Growth Eval.

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INTERNATIONAL JOURNAL OF
ADVANCE STUDIES AND GROWTH EVALUATION

Impact factor (QJIF): 8.4  E-ISSN: 2583-6528


Multidisciplinary
Refereed Journal
Peer Reviewed Journal

INTERNATIONAL JOURNAL OF ADVANCE STUDIES AND GROWTH EVALUATION


VOL.: 4 ISSUE.: 5(May 2025)

A Study on AI Technology Upgradation for Employees in Web Walk Infosys at Madurai


Author(s): V Nilofer Nisha, Dr. S Saranya and Dr. B Velmurugan


Abstract:

This paper presents a comprehensive study on the design and implementation of a hybrid renewable energy system (HRES) tailored for rural electrification. The proposed system integrates solar photovoltaic (PV) and wind energy with battery storage to deliver a reliable and sustainable power supply to off-grid rural areas. The motivation for developing such a hybrid system stems from the intermittent and unpredictable nature of individual renewable sources, which often fall short in meeting consistent energy demands when used independently. By combining solar and wind resources, the system maximizes energy availability and minimizes reliance on fossil fuels, thereby promoting environmental sustainability. The study emphasizes the use of HOMER (Hybrid Optimization of Multiple Energy Resources) software to simulate and optimize the configuration of the system based on specific site data such as solar irradiance, wind speed, load requirements, and economic constraints. Key performance indicators, including cost of energy (COE), net present cost (NPC), and renewable fraction, are analyzed to evaluate system efficiency and economic feasibility. Results indicate that the hybrid system not only improves energy reliability but also significantly reduces carbon emissions compared to conventional diesel-based systems. The paper concludes that HRES offers a promising solution for electrifying remote regions, especially in developing countries, where grid extension is often impractical and uneconomical. Future work may focus on incorporating other renewable sources and smart control systems to further enhance performance and adaptability.

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Pages: 52-56     |    3 View     |    0 Download

How to Cite this Article:

V Nilofer Nisha, Dr. S Saranya and Dr. B Velmurugan. A Study on AI Technology Upgradation for Employees in Web Walk Infosys at Madurai. Int. J Adv. Std. & Growth Eval. 2025; 4(5):52-56,