Optimizing electric vehicles charging for enhancing environmental sustainability and reducing carbon emissions of freight transport: case of Czech Republic
-
DOIhttp://dx.doi.org/10.21511/ee.15(1).2024.02
-
Article InfoVolume 15 2024, Issue #1, pp. 16-31
- Cited by
- 375 Views
-
100 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The limited infrastructure of charging stations, which is crucial in route planning and total journey time and creates uncertainty in efficiency and operating costs, calls for new economic and statistical methods in sustainability development and environmental economics. This paper aims to examine the challenges of integrating electric vehicles into freight transport to improve distribution logistics’ environmental sustainability, which represents one of the pathways for reducing environmental risk.
The analysis results underscore the inadequacy of the truck charging station network in the Czech Republic. This insufficiency presents an opportunity to enhance environmental sustainability and reduce carbon emissions through strategic analysis and optimizing charging station locations. The difficulty of identifying optimal locations for these stations, given truck availability, requires using multi-criteria decision-making techniques such as the Analytical Network Process (ANP).
Municipalities with limited access to existing logistics facilities were considered during the simulation. This way, 15 new locations were identified for municipalities with insufficient distance to a charging station.
By implementing the ANP method, the study contributes to a more environmentally sustainable transportation infrastructure, highlighting the potential for significant reductions in carbon emissions through improved charging station networks. These results apply to other countries and can provide novel insights on optimizing charging station locations for sustainable economic development and reducing freight transport’s carbon emissions and environmental risks.
- Keywords
-
JEL Classification (Paper profile tab)C61, Q50, Q55, R41
-
References54
-
Tables3
-
Figures3
-
- Figure A1. Merging districts before minimizing charging stations
- Figure A2. Visualization of charging station
- Figure A3. New location of charging stations for Czech districts
-
- Table 1. Overview of the evaluation attributes and criteria for the charging station definition
- Table 2. Geographical placement of charging stations after minimizing the districts of the Czech Republic
- Table 3. Model evaluation
-
- Aijaz, I., & Ahmad, A. (2022). Electric vehicles for environmental sustainability. In P. Agarwal, M. Mittal, J. Ahmed, & S. M. Idrees (Eds.), Smart Technologies for Energy and Environmental Sustainability. Green Energy and Technology (pp. 131-145). Cham: Springer.
- Alanazi, F., Alshammari, T. O., & Azam, A. (2023). Optimal Charging Station Placement and Scheduling for Electric Vehicles in Smart Cities. Sustainability, 15(22), 1-23.
- Ali, I., & Naushad, M. (2022). Insights on electric vehicle adoption: Does attitude play a mediating role? Innovative Marketing, 18(1), 104-116.
- Bajdor, P., Pawełoszek, I., & Fidlerova, H. (2021). Analysis and assessment of sustainable entrepreneurship practices in Polish small and medium enterprises. Sustainability, 13(7), 3595.
- Barman, P., Dutta, L., Bordoloi, S., Kalita, A., Buragohain, P., Bharali, S., & Azzopardi, B. (2023). Renewable energy integration with electric vehicle technology: A review of the existing smart charging approaches. Renewable and Sustainable Energy Reviews, 183, 113518.
- Behnke, M., & Kirschstein, T. (2017). The impact of path selection on GHG emissions in city logistics. Transportation Research Part E: Logistics and Transportation Review, 106, 320-336.
- Breed, A. K., Speth, D., & Plötz, P. (2021). CO2 fleet regulation and the future market diffusion of zero-emission trucks in Europe. Energy Policy, 159, 112640.
- Cattaruzza, D., Absi, N., Feillet, D., & González-Feliu, J. (2017). Vehicle routing problems for city logistics. EURO Journal on Transportation and Logistics, 6(1), 51-79.
- Daimler Truck. (2018). All-electric Mercedes-Benz truck for heavy-duty distribution : Start of practical customer trials: The Mercedes-Benz eActros is entering operation with Hermes.
- Daşcioğlu, B. G., Tuzkaya, G., & Kiliç, H. C. (2019). A model for determining the locations of electric vehicles’ charging stations in Istanbul. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 25(9), 1056-1061.
- Deb, S., Tammi, K., Kalita, K., & Mahanta, P. (2018). Impact of electric vehicle charging station load on distribution network. Energies, 11(2), 178.
- European Commission (EC). (2019). Regulation (EU) 2019/1242 of the European Parliament and of the Council of 20 June 2019 Setting CO2 Emission Performance Standards for New Heavy-Duty Vehicles and Amending Regulations (EC) No 595/2009 and (EU) 2018/956 of the European Parliament and of the Council and Council Directive 96/53/EC. Official Journal of the European Union, 50, 202-240.
- European Environment Agency. (2018). Environmental indicator report 2018. In support to the monitoring of the Seventh Environment Action Programme.
- Eurostat. (2020). Database.
- Fan, L., Liu, C., Dai, B., Li, J., Wu, Z., & Guo, Y. (2023). Electric vehicle routing problem considering energy differences of charging stations. Journal of Cleaner Production, 418, 138184.
- Gargasas, A., Samuolaitis, M., & Mūgienė, I. (2019). Quality management systems in logistics. Management Theory and Studies for Rural Business and Infrastructure Development, 41(2), 290-304.
- Gnann, T., Funke, S., Jakobsson, N., Ploetz, P., Sprei, F., & Bennehag, A. (2018). Fast charging infrastructure for electric vehicles: Today’s situation and future needs. Transportation Research Part D: Transport and Environment, 62, 314-329.
- Gros, I. (2016). Velká kniha logistiky [The big book of logistics]. Praha: Vysoká škola chemicko-technologická v Praze. (In Czech).
- Hodgson, M. J. (1990). A Flow-Capturing Location-Allocation Model. Geographical Analysis, 22(3), 270-279.
- Honma, Y., & Kuby, M. (2019). Node-based vs. path-based location models for urban hydrogen refueling stations: Comparing convenience and coverage abilities. International Journal of Hydrogen Energy, 44(29), 15246-15261.
- Huang, K., Kanaroglou, P., & Zhang, X. (2016). The design of electric vehicle charging network. Transportation Research Part D: Transport and Environment, 49, 1-17.
- Husinec, M., Šubrt, T., & Fejfar, J. (2020). EOQ as a tool for increased transport efficiency. 38th International Conference on Mathematical Methods in Economics (pp. 205-210). Brno: Mendel University in Brno Faculty of Business and Economics.
- Jochem, P., Szimba, E., & Reuter-Oppermann, M. (2019). How many fast-charging stations do we need along European highways? Transportation Research Part D: Transport and Environment, 73, 120-129.
- Karaman, A. S., Kilic, M., & Uyar, A. (2020). Green logistics performance and sustainability reporting practices of the logistics sector: The moderating effect of corporate governance. Journal of Cleaner Production, 258, 120718.
- Kinsella, L., Stefaniec, A., Foley, A., & Caulfield, B. (2023). Pathways to decarbonising the transport sector: The impacts of electrifying taxi fleets. Renewable and Sustainable Energy Reviews, 174, 113160.
- Kozlovskyi, S., Bolhov, V., Yousuf, A., Batechko, A., Hlushchenko, L., & Vitka, N. (2019). Marketing analysis of the electromobile market as a factor in the innovation of the national economy. Innovative Marketing, 15(1), 42-53.
- Kuby, M., & Lim, S. (2005). The flow-refueling location problem for alternative-fuel vehicles. Socio-Economic Planning Sciences, 39(2), 125-145.
- Kurbatova, S. M., Aisner, L. Y., & Mazurov, V. Yu. (2020). Green logistics as an element of sustainable development. IOP Conference Series: Earth and Environmental Science, 548, 052067.
- Li, X., & Zhou, K. (2021). Multi-objective cold chain logistic distribution center location based on carbon emission. Environmental Science and Pollution Research, 28, 32396-32404.
- Lingaitis, L. P., & Bazaras, D. (2007). An analysis of reverse and green logistics: Theoretical aspects. Transport: Prace Naukowe, 60, 5-12.
- Liu, J., Sun, J., & Qi, X. (2023). Optimal Placement of Charging Stations in Road Networks: A Reinforcement Learning Approach with Attention Mechanism. Applied Sciences, 13(14), 8473.
- Lodienė, D., & Kolegija, K. (2012). Globalios tiekimo grandinės įtaka verslo organizacijai [Influence of global supply chain for business]. Management Theory and Studies for Rural Business and Infrastructure Development, 3(32), 98-105.
- Macharis, C., & Kin, B. (2017). The 4 A’s of sustainable city distribution: Innovative solutions and challenges ahead. International Journal of Sustainable Transportation, 11(2), 59-71.
- Mancini, S. (2017). A combined multistart random constructive heuristic and set partitioning based formulation for the vehicle routing problem with time dependent travel times. Computers and Operations Research, 88, 290-296.
- Metais, M. O., Jouini, O., Perez, Y., Berrada, J., & Suomalainen, E. (2022). Too much or not enough? Planning electric vehicle charging infrastructure: A review of modeling options. Renewable and Sustainable Energy Reviews, 153, 111719.
- Minet, L., Chowdhury, T., Wang, A., Gai, Y., Posen, I. D., Roorda, M., & Hatzopoulou, M. (2020). Quantifying the air quality and health benefits of greening freight movements. Environmental Research, 183, 109193.
- Montoya, A., Guéret, C., Mendoza, J. E., & Villegas, J. G. (2017). The electric vehicle routing problem with nonlinear charging function. Transportation Research Part B: Methodological, 103, 87-110.
- Nykvist, B., & Olsson, O. (2021) The feasibility of heavy battery electric trucks. Joule, 5(4), 901-913.
- Pan, S., Zhou, W., Piramuthu, S., Giannikas, V., & Chen, C. (2021). Smart city for sustainable urban freight logistics. International Journal of Production Research, 59(7), 2079-2089.
- Pečiukėnas, A., Pečeliūnas, R., & Nagurnas, S. (2017). Intelektinių transporto sistemų įtaka kelių transporto priemonių srautų reguliavimui [The impact of intelligent transport systems on the regulation of road vehicle flows]. Inžinerinės ir Edukacinės Technologijos – Engineering and Educational Technologies, 1, 33-38. (In Lithuanian).
- Phadke, A., McCall, M., & Rajagopal, D. (2019). Reforming electricity rates to enable economically competitive electric trucking. Environmental Research Letters, 14(12), 124047.
- Rajkoomar, M., Marimuthu, F., Naicker, N., & Mvunabandi, J. D. (2022). A meta-analysis of the economic impact of carbon emissions in Africa. Environmental Economics, 13(1), 89-100.
- Rapson, D. S., & Muehlegger, E. (2023). The economics of electric vehicles. Review of Environmental Economics and Policy, 17(2), 274-294.
- Rose, K. P., Nugroho, R., Gnann, T., Plötz, P., Wietschel, M., & Reuter-Oppermann, M. (2020). Optimal development of alternative fuel station networks considering node capacity restrictions. Transportation Research Part D: Transport and Environment, 78, 102189.
- Schonberger, R. (1982). Japanese manufacturing techniques. New York: The Free Press.
- Sidek, S., Khadri, N. A. M., Hasbolah, H., Yaziz, M. F. A., Rosli, M. M., & Husain, N. M. (2021). Society 5.0: Green logistics consciousness in enlightening environmental and social sustainability. IOP Conference Series: Earth and Environmental Science, 842, 012053.
- Simionescu, M., Strielkowski, W., & Gavurova, B. (2022). Could quality of governance influence pollution? Evidence from the revised Environmental Kuznets Curve in Central and Eastern European countries. Energy Reports, 8, 809-819.
- Speth, D., Sauter, V., & Plötz, P. (2022). Where to charge electric trucks in Europe –Modelling a charging infrastructure network. World Electric Vehicle Journal, 13(9), 162.
- Strielkowski, W., Streimikiene, D., Fomina, A., & Semenova, E. (2019). Internet of energy (IoE) and high-renewables electricity system market design. Energies, 12(24), 4790.
- United States Environmental Protection Agency (EPA). (n.d.). Greenhouse Gas Equivalencies Calculator – Calculations and References.
- Vienažindienė, M., Tamulienė, V., & Zaleckienė, J. (2021). Green logistics practices seeking development of sustainability: Evidence from Lithuanian transportation and logistics companies. Energies, 14(22), 7500.
- Whitehead, J., Whitehead, Je., Kane, M., & Zheng, Z. (2022). Exploring public charging infrastructure requirements for short-haul electric trucks. International Journal of Sustainable Transportation, 16(9), 775-791.
- Wu, Y., Yang, M., Zhang, H., Chen, K., & Wang, Y. (2016). Optimal site selection of electric vehicle charging stations based on a cloud model and the PROMETHEE method. Energies, 9(3), 157.
- Zhu, G., Gao, Y., & Sun, H. (2023). Optimization scheduling of a wind-photovoltaic-gas-electric vehicles community-integrated energy system considering uncertainty and carbon emissions reduction. Sustainable Energy, Grids and Networks, 33, 100973.