| dc.description.abstract | This research focuses on addressing global warming and climate change through
sustainable solutions. It investigates the deployment of Photovoltaic Noise Barriers (PVNBs)
and Battery energy storage system (BESS) to meet the charging demand of electric vehicles
within a freeway service area. The objective is to minimize costs, considering solar power
generation, energy storage, power purchase, and carbon pricing.
A mathematical model is developed based on relevant data such as charging demand, solar
radiation levels, solar power generation efficiency, size of PVNBs, and available installation
space. The model is solved using Gurobi package in Python. The optimal solution includes the
capacity of PVNBs, storage capacity of BESS, and the total electricity purchased from the grid.
By installing PVNBs with a capacity of 1.99 MW, BESS of 680 kWh, and purchasing 438,220
kWh of electricity from the grid, the charging demand of electric vehicles within the service
area can be met at a minimized cost of NTD 6,319,272 over a year. About 60% of the charging
demand is powered by solar energy. Solar power generation and utilization are higher during
the spring and summer. This reduces reliance on grid electricity and eases grid pressure during
the summer. For BESS, the system mainly stores the surplus energy in the morning and uses it
in the afternoon. The study also examines the cost sensitivity and reveals that changes in carbon
pricing significantly impact the total cost and solar energy utilization. Higher carbon pricing
leads to higher total costs and greater utilization of solar energy. Overall, this research provides
insights into the optimal design of a solar-powered EV charging station. The results highlight
the effectiveness of PVNBs and BESS in meeting charging demands sustainably and reducing
reliance on the grid. | en_US |