Advances in Applied Science and Engineering Technologies for Sustainable Innovation and Industrial Development

Dr. Nikhil Srivastava

doi:10.69980/jyeavf45

Authors

Dr. Nikhil Srivastava

DOI:

https://doi.org/10.69980/jyeavf45

Keywords:

Renewable energy management, photovoltaic generation, sustainable engineering

Abstract

Renewable energy management has become an important applied engineering pathway for advancing sustainable innovation and industrial development. This study analyzed a secondary Excel-based dataset on daily energy management, including photovoltaic generation, electricity consumption, energy price profiles, seasonal energy behavior, and battery state-of-charge records. A quantitative, data-driven research design was used to evaluate renewable contribution, demand–generation balance, price-sensitive sustainability opportunities, and storage utilization. After preprocessing, 8,760 hourly observations from 2023 were retained, with no missing values in the analytical fields. The results showed that annual photovoltaic generation reached 6,263,310 kWh, while annual electricity consumption reached 22,024,941 kWh, producing a renewable contribution index of 28.44%. Seasonal analysis showed the highest renewable contribution in summer at 51.53%, followed by spring at 43.06%, while winter and autumn showed lower contributions of 14.05% and 11.48%, respectively. Renewable surplus occurred during 770 hours, indicating opportunities for storage charging, load shifting, or grid export. Correlation analysis showed a weak positive relationship between photovoltaic generation and consumption and a negative relationship between energy price and photovoltaic generation. Battery state-of-charge profiles confirmed active storage behavior. Overall, integrated photovoltaic generation, demand monitoring, pricing analysis, and battery storage supported sustainable industrial energy planning and data-driven engineering innovation

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