Nanoengineered Catalysts for Efficient Hydrogen Production in ‎Renewable Energy Systems

  • Authors

    • Kanchan Awasthi Associate Professor, Department of Science, Maharishi University of Information Technology, Lucknow, India
    • Dr. Tapas Kumar Mohapatra Professor, Department of Electrical Engineering, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India
    • Dr. D. Prabu Associate Professor, Department of Chemical, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India
    • Aravindan Munusamy Kalidhas Associate Professor, Department of Mechanical Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be University), ‎Ramnagar District, Karnataka, India
    • Vivek Saraswat Centre of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India
    • Dr. Satish Upadhyay Assistant Professor, uGDX, ATLAS SkillTech University, Mumbai, India
    • Lovish Dhingra Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh, India
    https://doi.org/10.14419/tjaaxk83

    Received date: May 2, 2025

    Accepted date: May 31, 2025

    Published date: July 8, 2025

  • Hydrogen; Renewable Energy Sources; Nanoengineering; Catalyst; Greenhouse Gas; Water Separation
  • Abstract

    Hydrogen (H2) is gaining acceptance as a renewable energy source (RES) that may replace or supplement the current carbon-based power ‎framework. Despite research in this domain frequently emphasizing the fundamental comprehension of catalytic mechanisms and ‎showcasing their efficacy across various approaches, considerable effort remains necessary to create superior methods and sophisticated ‎materials for extensive application. Nanoengineering methodologies at the nano or micron level are particularly compelling, as they facilitate ‎the exploration of how activity fluctuates based on variables such as dimension, substance, framework, electronic properties, and support ‎interactions. This understanding yields knowledge about structure–performance correlations in generating hydrogen, thereby optimizing ‎efficiency and permitting systematic development of a Nanoengineering catalyst (NC) with targeted functions and preference for hydrogen ‎generation. Traditional methods generate significant greenhouse gas (GHG) emissions owing to elevated manufacturing costs and restricted ‎effectiveness. Water separation (WS) presents one of the most environmentally sustainable production methods when integrated with RES. ‎Although expensive, it is afflicted by detrimental consequences that diminish efficiency. By elucidating physical properties and structural ‎relationships, NC approaches profoundly influence green H2 production. Additional research is necessary for storage facilities for H2 that ‎are robust for distant transportation networks with adequate refueling stations, while also improving the function of NC in RES-H2 generation frameworks‎.

  • References

    1. Zhang, X. L., Liu, Y. F., Zhang, X., Hu, J. J., Gao, M. X., & Pan, H. G. (2020). Empowering hydrogen storage performance of MgH2 by nanoengi-neering and nanocatalysis. Materials Today Nano, 9, 100064. https://doi.org/10.1016/j.mtnano.2019.100064.
    2. Rao, A., & Menon, P. (2024). A Review of Membrane Filtrating Methods for Contaminant/Pollution Removal in Water and Sewage Treat-ment. Engineering Perspectives in Filtration and Separation, 1(1), 1-6.
    3. Reshmy, R., Thomas, D., Paul, S. A., Sindhu, R., Binod, P., & Pandey, A. (2021). Application of nanoengineered materials for bioenergy production. In Nanomaterials (pp. 333-354). Academic Press. https://doi.org/10.1016/B978-0-12-822401-4.00001-5.
    4. Parizi, L., Dobrigkeit, J., & Wirth, K. (2025). Trends in software development for embedded systems in cyber-physical systems. SCCTS Journal of Embedded Systems Design and Applications, 2(1), 57–66.
    5. Caner, A., Ali, M., Yıldız, A., & Hanım, E. (2025). Improvements in environmental monitoring in IoT networks through sensor fusion techniques. Journal of Wireless Sensor Networks and IoT, 2(2), 38-44.
    6. Velliangiri, A. (2025). Bioenergy from Agricultural Waste: Optimizing Biomass Supply Chains for Rural Electrification. National Journal of Renewa-ble Energy Systems and Innovation, 18-26.
    7. Okan, A., & Christian, C. (2024). Capture of a New-born Shortfin Mako Shark Isurus Oxyrinchus (Lamniformes: Lamnidae), with Updated Records from the Turkish Marine Waters. Natural and Engineering Sciences, 9(1), 1-9. https://doi.org/10.28978/nesciences.1472086.
    8. Ayub, M. N., Rabbee, M. F., Shahzad, U., Saeed, M., Al-Baqami, S. M., Alzahrani, K. A., ... & Rahman, M. M. (2024). Recent advances on hydro-gen generation based on inorganic metal oxide nano-catalyst using water electrolysis approach. Reviews in Inorganic Chemistry, (0). https://doi.org/10.1515/revic-2024-0026.
    9. Raman, A., Ting, N. W. Y., Louis, S. A., & Arumugam, V. (2024). Assessment of Sustainable Transportation Model Using Energy-Efficient Algo-rithm. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 15(3), 364-372. https://doi.org/10.58346/JOWUA.2024.I3.024.
    10. Elsapagh, R. M., Sultan, N. S., Mohamed, F. A., & Fahmy, H. M. (2024). The role of nanocatalysts in green hydrogen production and water split-ting. International Journal of Hydrogen Energy, 67, 62-82. https://doi.org/10.1016/j.ijhydene.2024.04.136.
    11. Jain, A., & Babu, K. A. (2024). Role of green buildings in the sustainable development of tier-II cities in India. Archives for Technical Sciences, 2(31), 368–378. https://doi.org/10.70102/afts.2024.1631.368.
    12. Liu, D., & Kuang, Y. (2024). Particle‐based photoelectrodes for PEC water splitting: concepts and perspectives. Advanced Materials, 36(37), 2311692. https://doi.org/10.1002/adma.202311692.
    13. Wickramasinghe, K. (2020). The Use of Deep Data Locality towards a Hadoop Performance Analysis Framework. International Journal of Commu-nication and Computer Technologies, 8(1), 5-8.
    14. Mejail, M., Nestares, B. K., & Gravano, L. (2024). The evolution of telecommunications: Analog to digital. Progress in Electronics and Communica-tion Engineering, 2(1), 16–26.
    15. Brindha Devi, V., & Ponsekar, P. (2015). Map Reduce Typicality (MRT) based Collaborative Filtering Recommendation System for Movie Review Application. International Journal of Advances in Engineering and Emerging Technology, 6(4), 162–174.
    16. Raina, N., Sharma, P., Slathia, P. S., Bhagat, D., & Pathak, A. K. (2020). Efficiency enhancement of renewable energy systems using nanotechnolo-gy. Nanomaterials and environmental biotechnology, 271-297. https://doi.org/10.1007/978-3-030-34544-0_15.
    17. Dalapati, G. K., Masudy‐Panah, S., Moakhar, R. S., Chakrabortty, S., Ghosh, S., Kushwaha, A., ... & Ramakrishna, S. (2020). Nanoengineered ad-vanced materials for enabling hydrogen economy: functionalized graphene–incorporated cupric oxide catalyst for efficient solar hydrogen produc-tion. Global Challenges, 4(3), 1900087. https://doi.org/10.1002/gch2.201900087.
    18. Fiorio, J. L., Gothe, M. L., Kohlrausch, E. C., Zardo, M. L., Tanaka, A. A., de Lima, R. B., ... & Machado, G. (2022). Nanoengineering of catalysts for enhanced hydrogen production. Hydrogen, 3(2), 218-254. https://doi.org/10.3390/hydrogen3020014.
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  • How to Cite

    Awasthi , K. ., Mohapatra , D. T. K. ., Prabu, D. D. . ., Kalidhas , A. M. ., Saraswat, V. ., Upadhyay , D. S. ., & Dhingra, L. . (2025). Nanoengineered Catalysts for Efficient Hydrogen Production in ‎Renewable Energy Systems. International Journal of Basic and Applied Sciences, 14(SI-1), 92-97. https://doi.org/10.14419/tjaaxk83