What is a photovoltaic-energy storage-integrated charging station (PV-es-I CS)?

As shown in Fig. 1, a photovoltaic-energy storage-integrated charging station (PV-ES-I CS) is a novel component of renewable energy charging infrastructure that combines distributed PV, battery energy storage systems, and EV charging systems.

Can photovoltaic-energy storage-integrated charging stations improve green and low-carbon energy supply systems?

In this study, an evaluation framework for retrofitting traditional electric vehicle charging stations (EVCSs) into photovoltaic-energy storage-integrated charging stations (PV-ES-I CSs) to improve green and low-carbon energy supply systems is proposed.

Do photovoltaic charging stations sit in built environments?

Currently, some experts and scholars have begun to study the siting issues of photovoltaic charging stations (PVCSs) or PV-ES-I CSs in built environments, as shown in Table 1. For instance, Ahmed et al. (2022) proposed a planning model to determine the optimal size and location of PVCSs.

Can a PV & energy storage transit system reduce charging costs?

Furthermore, Liu et al. (2023) employed a proxy-based optimization method and determined that compared to traditional charging stations, a novel PV + energy storage transit system can reduce the annual charging cost and carbon emissions for a single bus route by an average of 17.6 % and 8.8 %, respectively.

Is solar irradiance a catalyst for energy production in PV systems?

Since irradiance is the primary catalyst for energy production in PV systems (Nasrin et al., 2018), the environmental analysis plugin Ladybug, which is widely used in Rhinoceros software, was applied to simulate solar irradiance for the selected 295 EVCSs to assess the solar energy generation potential of each charging station.

Are charging stations suitable for retrofitting?

These charging stations were suitable for retrofitting due to having an adequate number of parking spaces (Charly et al., 2023). In the third round of screening, we employed deep learning-based semantic segmentation technology to process the panoramic images taken during the field survey.