TY - GEN
T1 - Influence of the introduction of electric vehicles on CO2 emissions in Peru
AU - Nazario Ticse, Russell
AU - Ramos Saravia, José
AU - Wong Kcomt, Jorge
AU - Quintana Caceda, María
N1 - Publisher Copyright:
© 2024 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2024
Y1 - 2024
N2 - In Peru, as in many countries, road transport is dominated by vehicles with gasoline or diesel internal combustion engines, which represents a challenge for decarbonization in the world. In industrialized countries there is an interest in electric vehicles, with the aim of achieving emissions reduction objectives, to improve air quality and reduce greenhouse gas emissions. That is why the trend is to electrify the vehicle fleet, thereby reducing fossil fuel imports, thus progressively eliminating energy dependence. Lima has a serious pollution problem that is due to the transportation sector, both due to the emission of gases, as well as noise, traffic and the poor transportation system. For this reason, it is important to evaluate the environmental impact produced by electric vehicles at different penetration rates in the private sector transport fleet. The objective is to evaluate the importance of EVs in reducing GHG emissions. In this work, an econometric model is used and the use of neural networks ANN, the dependent variable is the CO2 emissions in Peru. Different scenarios have been created, each with different penetration rates. As a result, in the reduction of CO2 emissions, for light vehicles (cars), by 2030 in all scenarios, a reduction in emissions of 0.48% has been demonstrated for the global rate, 2.82% for an AAP scenario, 5.73% for a NGV scenario and a reduction of 20.99% for the very optimistic EV30@30 scenario. With the result, it is observed that the massification of EVs will be essential to reduce GHG emissions.
AB - In Peru, as in many countries, road transport is dominated by vehicles with gasoline or diesel internal combustion engines, which represents a challenge for decarbonization in the world. In industrialized countries there is an interest in electric vehicles, with the aim of achieving emissions reduction objectives, to improve air quality and reduce greenhouse gas emissions. That is why the trend is to electrify the vehicle fleet, thereby reducing fossil fuel imports, thus progressively eliminating energy dependence. Lima has a serious pollution problem that is due to the transportation sector, both due to the emission of gases, as well as noise, traffic and the poor transportation system. For this reason, it is important to evaluate the environmental impact produced by electric vehicles at different penetration rates in the private sector transport fleet. The objective is to evaluate the importance of EVs in reducing GHG emissions. In this work, an econometric model is used and the use of neural networks ANN, the dependent variable is the CO2 emissions in Peru. Different scenarios have been created, each with different penetration rates. As a result, in the reduction of CO2 emissions, for light vehicles (cars), by 2030 in all scenarios, a reduction in emissions of 0.48% has been demonstrated for the global rate, 2.82% for an AAP scenario, 5.73% for a NGV scenario and a reduction of 20.99% for the very optimistic EV30@30 scenario. With the result, it is observed that the massification of EVs will be essential to reduce GHG emissions.
KW - CO2 emissions
KW - Electric vehicles
KW - Environmental impact
KW - EV penetration rate
KW - neural networks ANN
UR - http://www.scopus.com/inward/record.url?scp=85203793205&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2024.1.1.1626
DO - 10.18687/LACCEI2024.1.1.1626
M3 - Conference contribution
AN - SCOPUS:85203793205
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 22nd LACCEI International Multi-Conference for Engineering, Education and Technology
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024
Y2 - 17 July 2024 through 19 July 2024
ER -