Low powered electric vehicles and electricity generation with the help of renewable energy technology are two kind of technological advancements which are taking place to meet growing global energy demand while reducing greenhouse gas emissions together at the same time. Achievin
...
Low powered electric vehicles and electricity generation with the help of renewable energy technology are two kind of technological advancements which are taking place to meet growing global energy demand while reducing greenhouse gas emissions together at the same time. Achieving these objectives indicate shift from energy demand followed by fossil fuels to renewables. Renewable energy technology and plug-in vehicle electrification adoption have substantial problems associated with it, however there are ways to exploit their potential in order to develop sustainability in the field of electricity and transportation.
This thesis aims at designing the Roadside Photovoltaic (PV) system that act as a major supply of electrical power to charge Electric Bikes (E-bikes). The expansion and rapid growth in E-bikes is tremendous in the Netherlands, therefore the charging of E-bikes is chosen as an application to build the Roadside PV system for campus located at Mekelweg, Delft. The E-bike dynamic consumption is modelled to calculate the driving efficiency of an E-bike, and thus this model is used to compute the state of charge of incoming E-bikes in order to determine the daily consumption of charging station. Furthermore, for maximizing the energy yield of the PV system, the optimal orientation of module is analysed. The mounting and placement of these optimally oriented modules beside the road is decided such that the overall effect of shading is minimal. Moreover, as it is a Roadside PV, the system is compared with the solar road technology to see the difference of how the system behaves when placed optimally beside the roads on poles instead horizontally on roads. Finally, performance of entire grid-tied Roadside PV system with storage is determined according to chosen application.