Optimizing Hydropower Resources for Maximum Power Generation Efficiency in Environmentally Sustainable Electrical Energy Production

Authors

  • Bevl Naidu

    Department of Management Studies, Aditya Degree & PG Colleges, Kakinada  533001, India
  • Krishna Babu Sambaru

    Department of Digital Marketing, Aditya Degree & PG College, Kakinada 533001, India
  • Guru Prasad Pasumarthi

    Department of Research and Analytics, PB Siddhartha Arts and Science College, Vijayawada 521108, India
  • Romala Vijaya Srinivas

    Department of Research and Analytics, Business School, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram 522302, India
  • K. Srinivasa Krishna

    Department of Management Studies, Madanapalle Institute of Technology and Science, Madanapalle 517325, India
  • V. Purna Kumari Pechetty

    Department of Research and Analytics, SR University, Anantha Sagar, Hasanparthy, Hanamkonnda 506371, India

DOI:

https://doi.org/10.30564/jees.v7i6.9011
Received: 8 March 2025 | Revised: 27 April 2025 | Accepted: 20 May 2025 | Published Online: 12 June 2025

Abstract

Water power is one of the key renewable energy resources, whose efficiency is often hampered due to inefficient water flow management, turbine performance, and environmental variations. Most existing optimization techniques lack the real-time adaptability to sufficiently allocate resources in terms of location and time. Hence, a novel Scalable Tasmanian Devil Optimization (STDO) algorithm is introduced to optimize hydropower generation for maximum power efficiency. Using the STDO to model important system characteristics including water flow, turbine changes, and energy conversion efficiency is part of the process. In the final analysis, optimizing these settings in would help reduce inefficiencies and maximize power generation output. Following that, simulations based on actual hydroelectric data are used to analyze the algorithm's effectiveness. The simulation results provide evidence that the STDO algorithm can enhance hydropower plant efficiency tremendously translating to considerable energy output augmentation compared to conventional optimization methods. STDO achieves the reliability (92.5), resiliency (74.3), and reduced vulnerability (9.3). To guarantee increased efficiency towards ecologically friendly power generation, the STDO algorithm may thus offer efficient resource optimization for hydropower. A clear route is made available for expanding the efficiency of current hydropower facilities while tackling the long-term objectives of reducing the environmental impact and increasing the energy output of energy produced from renewable sources.

Keywords:

Hydropower Optimization; Renewable Energy; Energy Conversion Efficiency; Turbine Performance; Environmental; Scalable Tasmanian Devil Optimization (STDO)

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How to Cite

Bevl Naidu, Krishna Babu Sambaru, Guru Prasad Pasumarthi, Romala Vijaya Srinivas, K. Srinivasa Krishna, & V. Purna Kumari Pechetty. (2025). Optimizing Hydropower Resources for Maximum Power Generation Efficiency in Environmentally Sustainable Electrical Energy Production. Journal of Environmental & Earth Sciences, 7(6), 381–394. https://doi.org/10.30564/jees.v7i6.9011

Issue

Vol. 7 , Iss. 6 (June 2025)

Article Type

Article

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Copyright © 2025 Bevl Naidu, Krishna Babu Sambaru, Guru Prasad Pasumarthi, Romala Vijaya Srinivas, K. Srinivasa Krishna, V. Purna Kumari Pechetty

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This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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