Publication Type
Journal Article
Publication Date (Issue Year)
2023
Journal Name
Journal of Power Sources
Abstract
The use of renewable energy for power generation is increasing rapidly. However, residual electricity supplied in excess of demand is a global concern. To effectively utilize excess power, storing surplus renewable energy in energy storage systems (ESSs) is important. In this study, a seawater battery (SWB) is proposed as an ESS for intermittent power resources, and its energy storage capability is evaluated. Four charging scenarios that imitate different forms of renewable energy (constant current, solar, tidal, and wind) reveal that SWB is an efficient ESS for intermittent renewable energy sources. Scenario-dependent energy efficiency follows the order: ideal constant current (83.6%) > solar power (80.4%) > tidal power (79.6%) > wind power (79.4%). The ability of two artificial intelligence models is also tested to estimate the potential of SWBs. A novel long short-term memory model outperforms an artificial neural network model, predicting the potential of SWB with a high precision (R2 > 0.99) and an extremely low error rate (< 0.18%). Therefore, the conceptualization and modeling of an SWB as an ESS may pave the way for energy storage from and management of intermittent energy sources.
Keywords
Seawater battery, Energy storage, Deep learning, Renewable energy
Rsif Scholar Name
Bethwel Kipchirchir Tarus
Thematic Area
Minerals, Mining and Materials Engineering
Africa Host University (AHU)
Nelson Mandela African Institution of Science and Technology (NM-AIST), Tanzania
Recommended Citation
Park, S., Yoon, N., Tarus, B. K., Choi, B., Kim, H. H., & Son, M. (2023). Energy storage capability of seawater batteries for intermittent power generation systems: Conceptualization and modeling. Journal of Power Sources, 580, 233322. https://doi.org/10.1016/j.jpowsour.2023.233322