Author(s)

Feng Gao ¹

Affiliation(s)

¹ School of Chemical and Environmental Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China

Corresponding Author

Feng Gao

ABSTRACT

With the growing global demand for clean energy, the integration technology of renewable energy and fuel cell systems has attracted much attention as a new type of energy conversion method. This paper systematically discusses the system design, optimization and performance evaluation methods under different integration methods. Combined with the current research status and market demand in the world, this paper puts forward the system optimization and evaluation ideas of adopting dynamic adaptive control strategy, multi-scale mathematical modeling, machine learning-based system optimization and coupled system optimization, which provide important theoretical guidance and practical reference for promoting the development and application of clean energy technology. The system optimization and evaluation ideas of machine learning-based system optimization and coupled system optimization are presented.

KEYWORDS

Energy, fuel cell, system optimization, machine learning

CITE THIS PAPER

Feng Gao, Renewable energy and fuel cells design and optimization ideas for integrated systems. Smart Systems and Green Energy (2024) Vol. 6: 26-31. DOI: http://dx.doi.org/10.23977/ssge.2024.060104.

REFERENCES

[1] Kim, J., Rao, S., Kabir, M. M., & Zhou, B. (2022). Review on the recent progress and challenges of renewable energy sources and fuel cell technology integration. Renewable and Sustainable Energy Reviews, 154, 111911.
[2] Liu, Z., Wang, X., Li, Y., Ma, J., & Zhang, H. (2022). Optimal design of integrated renewable energy and fuel cell systems considering multi-energy complementarity. Applied Energy, 309, 117872.
[3] Zhao, L., Zhang, S., Li, Y., Lin, C., & Li, J. (2023). Dynamic modeling and control strategy optimization of renewable energy and fuel cell hybrid power systems. International Journal of Hydrogen Energy, 48(3), 2515-2531.
[4] Wang, Y., Yang, J., Li, C., Wang, H., & Wang, H. (2023). A review of the integration of renewable energy sources and fuel cells for sustainable power generation. Energy Reports, 9, 1054-1065.
[5] Choudhury, R. R., Nishikawa, K., & Lee, S. B. (2022). Recent advancements in renewable energy integrated fuel cell systems: A review. International Journal of Hydrogen Energy, 47(20), 11256-11272.
[6] Zhang, Y., Yang, F., Li, S., Wang, X., & Sun, Y. (2023). Techno-economic analysis and optimization of renewable energy and fuel cell hybrid energy systems: A review. Renewable Energy, 184, 961-977.
[7] Park, H., Park, S., Kim, S., Kim, J., & Jeong, S. (2023). Integration of renewable energy sources and fuel cells for power generation: A comprehensive review. Applied Sciences, 13(5), 2457.
[8] Lee, J., Kim, S., Kim, M., & Ahn, K. (2022). Design optimization of renewable energy and fuel cell hybrid systems considering environmental and economic factors. Energies, 15(1), 128.
[9] Huang, Y., Wang, Y., Wu, Y., Li, X., & Wang, X. (2022). Dynamic modeling and performance optimization of renewable energy and fuel cell hybrid power systems. International Journal of Energy Research, 46(12), 9497-9511.
[10] Chen, J., Huang, Y., Zhang, W., Zhang, Y., & Chen, Z. (2023). Review on energy management and optimization of renewable energy and fuel cell hybrid power systems. IEEE Access, 11, 14483-14499.
[11] Yang, H., Li, X., Xue, Y., Zhang, Y., & Yan, J. (2023). Optimal design and performance analysis of a stand-alone renewable energy system with fuel cell and energy storage. Journal of Cleaner Production, 339, 130786.
[12] Choi, H., Lee, J., Kim, J., & Park, C. (2022). Optimal control strategy for renewable energy and fuel cell hybrid power systems considering load and resource forecasting. Energies, 15(2), 404.
[13] Liu, J., Ding, F., Tian, H., & Wei, C. (2023). Techno-economic analysis and optimization of renewable energy and fuel cell hybrid power systems for remote areas. Journal of Energy Engineering, 149(2), 04021034.
[14] Zhang, M., Liu, H., Yu, W., Yang, B., & Chen, L. (2022). Multi-objective optimization of renewable energy and fuel cell hybrid power systems considering environmental and economic factors. Journal of Renewable and Sustainable Energy, 14(5), 055001.
[15] Xu, X., Yang, L., Wang, Y., Li, C., & Liu, Y. (2023). Economic and environmental analysis of renewable energy and fuel cell hybrid power systems for residential applications. Energy Conversion and Management, 252, 113927.

Sponsors, Associates, and Links

---

• Journal of Metallurgy and Mineral Processing
  
  
• International Journal of Oil and Gas Science and Engineering
  
  
• Journal of Disaster Prevention and Reduction
  
  
• Journal of Mining Engineering and Safety Technology
  
  
• Thermal Power Engineering
  
  
• Energy Conversion Research
  
  
• Frontiers in Power and Energy Systems