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@article{164761,
        author = {Suraj S.Shinde and Tejas Samadhan Khatake and Mahesh Devidas Jadhav},
        title = {Techno Economic optimum sizing of Hybrid renewable energy system},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {1633-1636},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164761},
        abstract = {This Project advancements in the techno-economic optimization of hybrid renewable energy systems (HRES), focusing on the sizing and configuration of these systems. It discusses various methodologies and models used to determine the optimal mix of renewable energy technologies, storage systems, and auxiliary components. Key parameters influencing the process include renewable resource availability, energy demand profiles, component costs, and financing mechanisms. The paper also analyzes case studies from diverse geographical regions and applications, including off-grid, grid-connected, and microgrid systems. It also discusses emerging trends like machine learning, artificial intelligence, and blockchain technology for HRES optimization and their potential impacts on system performance, reliability, and cost-effectiveness. The review concludes with recommendations for future research, emphasizing the need for interdisciplinary collaboration among engineers, economists, policymakers, and stakeholders to address the complex challenges associated with HRES deployment.},
        keywords = {Hybrid Renewable Energy Systems (HRES), Techno-Economic Analysis (TEA), Renewable Energy Resources.},
        month = {},
        }