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767. An optimization-simulation model for locating an electric vehicle charging station using clean energy sources..
Invited abstract in session TA-53: Charging Infrastructure toward Sustainable Transport, stream Sustainable and Resilient Systems.
Tuesday, 8:30-10:00Room: 8007 (building: 202)
Authors (first author is the speaker)
1. | Zaira Ramirez
|
IngenierĂa de Sistemas, FI UNAM | |
2. | Aida Huerta-Barrientos
|
Operations Research, National Autonomous University of Mexico | |
3. | Alma Elia Vera-Morales
|
Systems Planning, National Autonomous University of Mexico |
Abstract
Nowadays, the countries of the European Union contemplate an energy mix that includes a high percentage of renewable energies, favorable for the charging of electric vehicles and for the reduction of polluting gases. Unfortunately, the energy used to charge an electric vehicle in Mexico comes from a highly polluting energy mix that primarily uses fossil fuels, which generates 18% of CO2 emissions. Multiple authors suggest that electric vehicle charging should be done using renewable energy sources. In Mexico, there are no sustainable alternative energy sources that allow for the charging of electric vehicles, compromising the sustainability of this technology and its development. This research focuses on the optimal location, through an optimization-simulation model, of a charging station that transforms energy obtained from clean sources, which will allow meeting the demand for charging electric vehicles, leveraging pet waste in the context of parks in Mexico City. First, the Factor Method was used to calculate the optimal location of charging for electric vehicles. Second, the optimal location was implemented based on an agent-based simulation approach using AnylogicTM software to analyze the dynamics of electric vehicles and pets. Third, simulation scenarios were built considering an increase on demand. The results obtained support decision-making regarding the implementation of the charger in parks, demonstrating the utilization of organic waste generated by pets.
Keywords
- Simulation
- Decision Support Systems
- Sustainable Development
Status: accepted
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