System dynamics to analyze scenarios of electric cars insertion in Brazilian cities
DOI:
https://doi.org/10.20397/2177-6652/2024.v24i4.2628Palavras-chave:
Electric cars,System dynamics, SustainabilityResumo
Objective: This paper aims to present and analyze the use of system dynamics to analyze the impact of electric cars on Brazilian cities.
Methodology: A simulation model was developed with the purpose of being used to predict population growth in any Brazilian region based on the logic of stocks and flows. The model was created to specify an environmental impact analysis system, considering CO2 emissions from different types of vehicles and fuel sources. The financial model takes into account the cost of recharging electric vehicles during peak and off-peak periods.
Originality: The originality consists of assessing the importance of expanding the use of EVs in the country to promote sustainable development and reduce harmful emissions. The EV20 scenario predicts a cost reduction of around 118 trillion reais with the introduction of electric cars, reducing maintenance costs and saving citizens money.
Results: The study confirms that the introduction of electric cars will reduce the amount of CO2 released into the atmosphere. The research used computer modeling and variables such as the number of cars and their average CO2 emissions, allowing the model to be proposed for empirical studies in other cities.
Theoretical and methodological contributions: The model, as well as its applicability
method, although similar studies are found in the literature, notably abroad, contribute to the evolution of knowledge for the Brazilian reality, contributing to its implementation in a comprehensive manner.
Executive contributions: The model developed is open and can be expanded to any Brazilian city. Since the environmental impact of battery use was not measured and the possibility of using hybrid electric cars was not analyzed, it is proposed, in the executive applicability, to address these elements and increase the time horizon analyzed.
Referências
ABVE - Brazilian Electric Vehicle Association (2020) . Aumento do número das vendas de carros elétricos no Brasil divulgado pela ABVE, available at: http://www.abve.org.br/noticias/carros-eletricos-ja-correpondem-a-19-das-vendas. Accessed on Oct 27, 2020.
Albatayneh, A., Assaf, M. N., Alterman, D., & Jaradat, M. (2020). Comparison of the overall energy efficiency for internal combustion engine vehicles and electric vehicles. Rigas Tehniskas Universitates Zinatniskie Raksti, 24(1), 669-680.
Bento, P. F. S. (2021). Gestão de dados sobre o consumo em autocarros elétricos (Doctoral dissertation, Universidade Fernando Pessoa (Portugal)).
Berard, S., Sanchez, M., & Wong, H. (2010). Implications of historical trends in the electrical efficiency of computing. IEEE Annals of the History of Computing, 33(3), 46-54.
Bhatti, G., Mohan, H., & Singh, R. R. (2021). Towards the future of smart electric vehicles: Digital twin technology. Renewable and Sustainable Energy Reviews, 141, 110801.
Campatelli, G., Scippa, A., & Lorenzini, L. (2014). Workpiece orientation and tooling selection to reduce the environmental impact of milling operations. Procedia Cirp, 14, 575-580.
Chen, W., Liang, J., Yang, Z., & Li, G. (2019). A review of lithium-ion battery for electric vehicle applications and beyond. Energy Procedia, 158, 4363-4368.
Danielis, R., Giansoldati, M., & Rotaris, L. (2018). A probabilistic total cost of ownership model to evaluate the current and future prospects of electric cars uptake in Italy. Energy Policy, 119, 268-281.
Darabi, N., & Hosseinichimeh, N. (2020). System dynamics modeling in health and medicine: a systematic literature review. System Dynamics Review, 36(1), 29-73.
Deb, S., Tammi, K., Kalita, K., & Mahanta, P. (2018). Review of recent trends in charging infrastructure planning for electric vehicles. Wiley Interdisciplinary Reviews: Energy and Environment, 7(6), e306.
Delgado, F., Costa, J. E. G., Febraro, J., & Silva, T. D. F. B. D. (2017). Carros elétricos.
Dijk, N. P., Maute, K., Langelaar, M., & Van Keulen, F. (2013). Level-set methods for structural topology optimization: a review. Structural and Multidisciplinary Optimization, 48, 437-472.
Ehsani, M., Singh, K. V., Bansal, H. O., & Mehrjardi, R. T. (2021). State of the art and trends in electric and hybrid electric vehicles. Proceedings of the IEEE, 109(6), 967-984.
Ellingsen, L. A. W., Hung, C. R., & Strømman, A. H. (2017). Identifying key assumptions and differences in life cycle assessment studies of lithium-ion traction batteries with focus on greenhouse gas emissions. Transportation Research Part D: Transport and Environment, 55, 82-90.
El-Saadawy, O., Gaber, A., Othman, A., Abotalib, A. Z., El Bastawesy, M., & Attwa, M. (2020). Modeling flash floods and induced recharge into alluvial aquifers using multi-temporal remote sensing and electrical resistivity imaging. Sustainability, 12(23), 10204.
Ercan, T., Onat, N. C., & Tatari, O. (2016). Investigating carbon footprint reduction potential of public transportation in United States: A system dynamics approach. Journal of cleaner production, 133, 1260-1276.
Ford, D. N. (2019). A system dynamics glossary. System dynamics review, 35(4), 369-379.
Ghofrani, M., Arabali, A., & Etezadi-Amoli, M. (2012, July). Electric drive vehicle to grid synergies with large scale wind resources. In 2012 IEEE Power and Energy Society General Meeting (pp. 1-6). IEEE.
Ghorbanzadeh, O., Moslem, S., Blaschke, T., & Duleba, S. (2018). Sustainable urban transport planning considering different stakeholder groups by an interval-AHP decision support model. Sustainability, 11(1), 9.
Goel, S., Sharma, R., & Rathore, A. K. (2021). A review on barrier and challenges of electric vehicle in India and vehicle to grid optimisation. Transportation engineering, 4, 100057.
Goldemberg, J., & Lucon, O. (2007). Energias renováveis: um futuro sustentável. Revista Usp, (72), 6-15.
Guerra, E. (2019). Electric vehicles, air pollution, and the motorcycle city: A stated preference survey of consumers’ willingness to adopt electric motorcycles in Solo, Indonesia. Transportation Research Part D: Transport and Environment, 68, 52-64.
Guler, D., & Yomralioglu, T. (2020). Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS. Annals of GIS, 26(2), 169-189.
Holmberg, K., & Erdemir, A. (2019). The impact of tribology on energy use and CO2 emission globally and in combustion engine and electric cars. Tribology International, 135, 389-396.
Hu, G., Zeng, W., Yao, R., Xie, Y., & Liang, S. (2021). An integrated assessment system for the carrying capacity of the water environment based on system dynamics. Journal of environmental management, 295, 113045.
Jian, Z., Luo, W., & Ji, X. (2015). Carbon electrodes for K-ion batteries. Journal of the American chemical society, 137(36), 11566-11569.
Jiao, Z., Ran, L., Chen, J., Meng, H., & Li, C. (2017). Data-driven approach to operation and location considering range anxiety of one-way electric vehicles sharing system. Energy Procedia, 105, 2287-2294.
Kirkwood, A., & Price, L. (2013). Examining some assumptions and limitations of research on the effects of emerging technologies for teaching and learning in higher education. British Journal of Educational Technology, 44(4), 536-543.
Kucukoglu, I., Dewil, R., & Cattrysse, D. (2021). The electric vehicle routing problem and its variations: A literature review. Computers & Industrial Engineering, 161, 107650.
Lane, D. C., Munro, E., & Husemann, E. (2016). Blending systems thinking approaches for organisational analysis: Reviewing child protection in England. European Journal of Operational Research, 251(2), 613-623.
Lonan, E. S., & Ardi, R. (2020, December). Electric vehicle diffusion in the indonesian automobile market: A system dynamics modelling. In 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 43-47). IEEE.
Lu, L., Guo, X., & Zhao, J. (2017). A unified nonlocal strain gradient model for nanobeams and the importance of higher order terms. International Journal of Engineering Science, 119, 265-277.
Macioszek, E., & Kurek, A. (2021). Extracting road traffic volume in the city before and during COVID-19 through video remote sensing. Remote Sensing, 13(12), 2329.
Miskolczi, M., Földes, D., Munkácsy, A., & Jászberényi, M. (2021). Urban mobility scenarios until the 2030s. Sustainable Cities and Society, 72, 103029.
Nunes, P., Farias, T., & Brito, M. C. (2015). Day charging electric vehicles with excess solar electricity for a sustainable energy system. Energy, 80, 263-274.
Oliveira, S. A. (2022). Reinventando o esporte: possibilidades da prática pedagógica. Autores Associados.
Omonov, F. A. (2022). The important role of intellectual transport systems in increasing the economic efficiency of public transport services. Academic research in educational sciences, 3(3), 36-40.
Ornes, S. (2021). The tricky challenge holding back electric cars. Proceedings of the National Academy of Sciences, 118(26), e2109654118.
Pinto, J., Sverdrup, H. U., & Diemer, A. (2019). Integrating life cycle analysis into system dynamics: the case of steel in Europe. Environmental Systems Research, 8(1), 1-21.
Reddy, S., Chen, D., & Manning, C. D. (2019). Coqa: A conversational question answering challenge. Transactions of the Association for Computational Linguistics, 7, 249-266.
Rogge, M., Wollny, S., & Sauer, D. U. (2015). Fast charging battery buses for the electrification of urban public transport—a feasibility study focusing on charging infrastructure and energy storage requirements. Energies, 8(5), 4587-4606.
Romare, M., & Dahllöf, L. (2017). The life cycle energy consumption and greenhouse gas emissions from lithium-ion batteries.
Sanguesa, J. A., Torres-Sanz, V., Garrido, P., Martinez, F. J., & Marquez-Barja, J. M. (2021). A review on electric vehicles: Technologies and challenges. Smart Cities, 4(1), 372-404.
SCOTT, Rodney J.; CAVANA, Robert Y.; CAMERON, Donald. Recent evidence on the effectiveness of group model building. European Journal of Operational Research, v. 249, n. 3, p. 908-918, 2016.
Secinaro, S., Brescia, V., Calandra, D., & Biancone, P. (2020). Employing bibliometric analysis to identify suitable business models for electric cars. Journal of cleaner production, 264, 121503.
Souza, C. C. R., & Hiroi, J. (2021). O Mercado de carros elétricos no Brasil: análise de entraves e sugestões para expansão. Práticas em Contabilidade e Gestão, 9(1), 1-19.
Sweeney, L. B., & Sterman, J. D. (2000). Bathtub dynamics: initial results of a systems thinking inventory. System Dynamics Review: The Journal of the System Dynamics Society, 16(4), 249-286.
Stokes, L. C., & Breetz, H. L. (2018). Politics in the US energy transition: Case studies of solar, wind, biofuels and electric vehicles policy. Energy Policy, 113, 76-86.
Thompson, J. P., Howick, S., & Belton, V. (2016). Critical Learning Incidents in system dynamics modelling engagements. European Journal of Operational Research, 249(3), 945-958.
Vianna, S. B., Garcia, M. G. P., & Szaniecki, Y. A. (2019). Tesla Motors: A introdução dos veículos elétricos nos EUA, seu impacto para a economia, bem como suas externalidades.
Wang, X., Li, B., Gerada, D., Huang, K., Stone, I., Worrall, S., & Yan, Y. (2022). A critical review on thermal management technologies for motors in electric cars. Applied Thermal Engineering, 201, 117758.
Weiss, M., Zerfass, A., & Helmers, E. (2019). Fully electric and plug-in hybrid cars-An analysis of learning rates, user costs, and costs for mitigating CO2 and air pollutant emissions. Journal of cleaner production, 212, 1478-1489.
Winebrake, J. J., Green, E. H., & Carr, E. (2017). Plug-in electric vehicles: economic impacts and employment growth. Energy and Environmental Research Associates.
Xiao, Y., & Konak, A. (2017). A genetic algorithm with exact dynamic programming for the green vehicle routing & scheduling problem. Journal of cleaner production, 167, 1450-1463.
Yilmaz, M., & Krein, P. T. (2012). Review of battery charger topologies, charging power levels, and infrastructure for plug-in electric and hybrid vehicles. IEEE transactions on Power Electronics, 28(5), 2151-2169.
Zhang, X., Li, Z., Luo, L., Fan, Y., & Du, Z. (2022). A review on thermal management of lithium-ion batteries for electric vehicles. Energy, 238, 121652.
Zhang, L., Hu, X., Wang, Z., Ruan, J., Ma, C., Song, Z., ... & Pecht, M. G. (2021). Hybrid electrochemical energy storage systems: An overview for smart grid and electrified vehicle applications. Renewable and Sustainable Energy Reviews, 139, 110581.
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