Esteves, O.L.A.; Gabbar, H.A. Nuclear-Renewable Hybrid Energy System with Load Following for Fast Charging Stations. Energies2023, 16, 4151.
Esteves, O.L.A.; Gabbar, H.A. Nuclear-Renewable Hybrid Energy System with Load Following for Fast Charging Stations. Energies 2023, 16, 4151.
Esteves, O.L.A.; Gabbar, H.A. Nuclear-Renewable Hybrid Energy System with Load Following for Fast Charging Stations. Energies2023, 16, 4151.
Esteves, O.L.A.; Gabbar, H.A. Nuclear-Renewable Hybrid Energy System with Load Following for Fast Charging Stations. Energies 2023, 16, 4151.
Abstract
The transportation sector is a significant source of greenhouse gas emissions. Electric vehicles (EVs) have gained popularity as a solution to reduce emissions, but the high load of charging stations poses a challenge to the power grid. Nuclear-Renewable Hybrid Energy Systems (N-RHES) present a promising alternative to support fast charging stations, reduce grid dependency, and decrease emissions. However, the intermittent problem of renewable energy sources (RESs) limits their application, and the synergies among different technologies have not been fully exploited. This paper proposes a predictive and adaptive control strategy to optimize the energy management of N-RHES for fast charging stations, considering the integration of nuclear, photovoltaics, and wind turbine energy with a hydrogen storage fuel cell system. The proposed dynamic model of a fast-charging station predicts electricity consumption behavior during charging processes, generating probabilistic forecasting of electricity consumption time-series profiling. Key performance indicators and sensitivity analyses illustrate the practicability of the suggested system, which offers a comprehensive solution to provide reliable, sustainable, and low-emission energy to fast-charging stations while reducing emissions and dependency on the power grid.
Keywords
Nuclear-Renewable Hybrid Energy Systems; transportation electrification; SMR; modeling and simulation
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
