Electric Vehicles (EV) are seen as a possible solution to reduce GreenHouse Gasses (GHGs) emission caused from the transportation sector. This possibility is enabled from Renewable Energy Sources (RESs) that can provide energy with a very low level of CO2 emissions per kWh. Typically, renewable energy sources like photovoltaic and wind are not dispatchable, with hydropower being a partial exception, due to their weather dependency. The scope of this work is to study the trade of between the percentage of energy produced with RESs and the energy absorbed by the public charging system. It is shown the trade-off between the percentage of Renewable Energy (RE) provided to the Charging Infrastructure (CI) and the overproduced energy solving an optimization problem.

Totally Green Vehicle? Correlation the RES and Load Curves of CSs

Martini D.;Longo M.;Zaninelli D.
2023-01-01

Abstract

Electric Vehicles (EV) are seen as a possible solution to reduce GreenHouse Gasses (GHGs) emission caused from the transportation sector. This possibility is enabled from Renewable Energy Sources (RESs) that can provide energy with a very low level of CO2 emissions per kWh. Typically, renewable energy sources like photovoltaic and wind are not dispatchable, with hydropower being a partial exception, due to their weather dependency. The scope of this work is to study the trade of between the percentage of energy produced with RESs and the energy absorbed by the public charging system. It is shown the trade-off between the percentage of Renewable Energy (RE) provided to the Charging Infrastructure (CI) and the overproduced energy solving an optimization problem.
2023
12th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2023
979-8-3503-3793-8
Charging Infrastructure
Electric Vehicles
Non programmable
Optimization
Renewable Energy Source
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1260101
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