INTERNATIONAL JOURNAL OF ADVANCE RESEARCH
IN MULTIDISCIPLINARY

The increasing global demand for sustainable and renewable energy sources has sparked considerable interest in harnessing solar energy. In this study, we present a human-centric theoretical model for estimating solar energy potential to address the need for eco-friendly and reliable energy solutions. Our research integrates various climatic, geographical, and socio-economic factors to create a comprehensive framework that accounts for human influence on solar energy utilization.

The proposed theoretical model incorporates meteorological data, geographical information, and human behavior patterns to predict solar energy potential with enhanced accuracy. By considering human factors such as energy consumption patterns, urbanization rates, and energy demand fluctuations, our model offers a more holistic representation of solar energy utilization.

Through case studies and comparative analyses, we demonstrate the efficacy of our human-centric approach in estimating solar energy potential in diverse regions. Additionally, we explore the model's sensitivity to changes in different human-related parameters, thus providing valuable insights for policymakers and energy planners.

Furthermore, this research highlights the potential for integrating solar energy into human-centric urban planning and development strategies. By aligning energy policies with the specific needs and behaviors of the local population, governments can promote sustainable energy adoption and reduce reliance on conventional fossil fuels.