Skip to main navigation menu Skip to main content Skip to site footer

DESIGN AND OPTIMIZATION OF HYBRID ENERGY SYSTEMS

Abstract

The increasing demand for reliable and sustainable energy has accelerated the development of hybrid energy systems that integrate renewable and conventional power sources. This study investigates the design and optimization of a hybrid energy system combining solar photovoltaic panels, wind turbines, battery energy storage, and a diesel generator. A simulation-based approach with an hourly time step over one year was employed to evaluate system performance under variable load and renewable resource conditions. Multi-objective optimization techniques were applied to minimize the net present cost and levelized cost of energy while maintaining a high level of system reliability and reducing carbon dioxide emissions. The results demonstrate that the optimized hybrid configuration significantly enhances energy reliability, achieves a high renewable energy fraction, and reduces greenhouse gas emissions compared to conventional diesel-based systems. The findings confirm that hybrid energy systems represent a cost-effective and environmentally sustainable solution for modern energy challenges, particularly in remote and off-grid regions.

Keywords

Hybrid energy system; Renewable energy; System optimization; Energy storage; Economic analysis; Sustainability

PDF

References

  1. Lund, H., Østergaard, P. A., Connolly, D., & Mathiesen, B. V. (2017). Smart energy and smart energy systems. Energy, 137, 556–565. https://doi.org/10.1016/j.energy.2017.05.123
  2. Li, C., Ge, X., Zheng, Y., Xu, C., Ren, Y., Song, C., & Yang, C. (2013). Techno-economic feasibility study of autonomous hybrid wind/PV/battery power system for a household in Urumqi, China. Energy, 55, 263–272. https://doi.org/10.1016/j.energy.2013.03.084
  3. Deshmukh, M. K., & Deshmukh, S. S. (2008). Modeling of hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 12(1), 235–249. https://doi.org/10.1016/j.rser.2006.07.011
  4. Ma, T., Yang, H., & Lu, L. (2014). A feasibility study of a stand-alone hybrid solar–wind–battery system for a remote island. Applied Energy, 121, 149–158. https://doi.org/10.1016/j.apenergy.2014.01.090
  5. Diaf, S., Notton, G., Belhamel, M., Haddadi, M., & Louche, A. (2007). Design and techno-economical optimization for hybrid PV/wind system under various meteorological conditions. Applied Energy, 85(10), 968–987. https://doi.org/10.1016/j.apenergy.2008.02.012
  6. Yang, H., Zhou, W., Lu, L., & Fang, Z. (2008). Optimal sizing method for stand-alone hybrid solar–wind system with LPSP technology by using genetic algorithm. Solar Energy, 82(4), 354–367. https://doi.org/10.1016/j.solener.2007.08.005
  7. Kaldellis, J. K., & Zafirakis, D. (2011). Optimum energy storage techniques for the improvement of renewable energy sources-based electricity generation economic efficiency. Energy, 36(4), 2454–2465. https://doi.org/10.1016/j.energy.2011.01.035

Downloads

Download data is not yet available.