Dataset Open Access
Joint optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources including CO2 emissions: Study data
Dias de Lima, Tayenne;
F. Franco, John;
Lezama, Fernando;
Soares, Joao;
Vale, Zita
Dataset of the paper: Joint optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources including CO2 emissions, Energy Informatics, 2021 (Presented in EIA 2021)
Table 1 shows the operational scenarios, while the data for the substations is shown in Table 2. The demand data for each node is shown in Table 3. The parameters related to RES are shown in Table 4 and Table 5.
The PV units have a nominal power capacity of 100 kW and are composed by 40 modules with 2.5 kW each. A maximum of 60 generators of this type can be installed in each node. The CO2 factor emission is defined as 𝜁𝑝𝑣=0.0584 ton/MWh. The candidate nodes for the installation of wind turbines, photovoltaic modules, and EV charging stations, are respectively: Ω𝑤𝑡 = {3, 4, 5, 9, 11, 14, 16, 19}, Ω𝑝𝑣 = {3, 4, 6, 8, 10, 13, 14, 15, 19}, and Ω𝑅 = {3, 6, 8,14, 15}. The power factors for PV and WT units are defined as 0.98 and 0.90, respectively. Table 6 presents the data for the two EV chargers alternatives. Finally, Fig.1 shows the initial system topology.
R&D center: http://www.gecad.isep.ipp.pt/ and https://www.feis.unesp.br/#!/lapsee
Project website: http://www.gecad.isep.ipp.pt/CENERGETIC/
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- Publication date:
- May 13, 2021
- DOI:
-
- Keyword(s):
- Allocation of electric vehicle charging stations, electric vehicle charging stations, EV demand forecast method, renewable energy sources
- License (for files):
- Creative Commons Attribution Non Commercial No Derivatives 4.0 International