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Analysis of solar and wind energy installations at electric vehicle charging stations in a region in Brazil and their impact on pricing using an optimized sale price model

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Electric vehicles are becoming more popular in the automobile sector since questions about the environment and quality of life have become increasingly important. New ways of commercializing energy should be… Click to show full abstract

Electric vehicles are becoming more popular in the automobile sector since questions about the environment and quality of life have become increasingly important. New ways of commercializing energy should be regulated, like the sale prices applied to service stations for electric vehicles. This study adopted a model for calculating tariffs at a charging station using the optimized tariff methodology—Tarot, a new application for this method. The charging station proposed uses an alternative energy generation system comprised of photovoltaic panels and wind turbines. We evaluated four regions in Brazil with different solar and wind potentials. This is done to see how the tariff can be impacted by the use of natural resources. As a result, we indicate that the application of the Tarot methodology adapted to the concept of charging electric vehicles from the use of renewable sources becomes an opportunity for the sector to apply a tariff adjusted to national regulatory guidelines and to provide a better cost/benefit for the consumer. Of the four regions analyzed, Region 2 proved to be the best region for the implementation of this type of enterprise with the use of a wind and solar distributed generator. The difference in billing value with the average tariff applied with the aid of the distributed system and purely energy network reaches 6% in Region 2. If the photovoltaic generation is added in 30% in this location, it can cause a reduction of up to 7% in the tariff for the sale of energy to vehicles.

Keywords: energy; methodology; region; using optimized; solar wind; sale

Journal Title: International Journal of Energy Research
Year Published: 2020

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