Journal
SUSTAINABLE CITIES AND SOCIETY
Volume 87, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scs.2022.104192
Keywords
Direct methanol fuel cells; Neural network; Hybrid power system; Energy management system
Categories
Funding
- Ratchadapisek Sompoch Endowment Fund (Chulalongkorn University)
Ask authors/readers for more resources
This study proposes a solution that combines photovoltaic and solar thermal collector system with battery and DMFC, and adopts neural network-based adaptive control to meet persistent residential power demand. Simulation results show that the neural network-based control performs better than traditional control methods, and the hybrid system with DMFC can reduce the power requirements from the grid.
Due to fluctuations in electricity demand and weather patterns, the solar energy-based system should be integrated with energy storage for efficient energy management. However, using only a battery cannot cope with the long-term power demand. Direct methanol fuel cells (DMFCs) have been considered one of the most promising backup power supplies for household applications. Therefore, the photovoltaic and solar thermal collector system incorporated with battery and DMFC is proposed along with the energy management system. In this study, a neural network-based adaptive control is developed to control the DMFC to meet persistent residential power demand and follow the technical requirements. Simulation results show that the neural network-based control outperforms the proportional-integral-derivative control in set-point change, disturbance, and model mismatch cases. Implementing the controlled DMFC in the hybrid system results in lower power requirements from the grid, which is less than twice that of a hybrid system without the DMFC. Furthermore, when solar power was insufficient to supply the load demand, the battery lifecycle in the system integrated with the DMFC seems more extended than that of a system without the DMFC.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available