Ten serwis zostanie wyłączony 2025-02-11.
Nowa wersja platformy, zawierająca wyłącznie zasoby pełnotekstowe, jest już dostępna.
Przejdź na https://bibliotekanauki.pl

PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2023 | z. 184 Współczesne zarządzanie = Contemporary Management | 61-72
Tytuł artykułu

Assessing the Efficiency of Hybrid Energy Facilities for Electric Vehicle Charging

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of the study is to evaluate the efficiency of using conventional energy facilities based on renewable energy sources to provide energy to battery swapping stations and charging stations for electric vehicles in one of the selected countries. As part of the work, the following tasks are solved: A mathematical model of charging stations or battery swapping stations, electrical installations based on renewable energy, and general energy facilities operating parallel to the electrical grid and autonomously is developed; A methodology has been developed, verifying the structures and parameters of energy facilities based on renewable energy sources for charging batteries of electric vehicles; The efficiency of using generation facilities based on renewable energy sources to battery charging stations in rural areas of such a large country is evaluated; The number of hybrid energy facilities based on renewable energy sources and charging stations is evaluated. Design/methodology/approach: The examined power plant facilities serve electric vehicles in cities, recreation areas, industrial enterprises, and highways. Service types such as charging the battery and replacing discharged batteries of electric vehicles with pre-charged batteries are used at charging stations for electric vehicles. The efficiency of using conventional energy installations as part of charging stations is evaluated in regions with different climatic conditions. Findings: The results show an increase in profit when participating in the ancillary service market. Originality/value: In the following research paper were presented the optimization objective function that maximizes the profit. (original abstract)
Twórcy
  • Ardahan University, Turkey
  • West Pomeranian University of Technology in Szczecin
Bibliografia
  • 1. Al Wahedi, A., Bicer, Y. (2022). Techno-economic optimization of novel stand-alone renewables-based electric vehicle charging stations in Qatar. Energy, 243, 123008. https://doi.org/10.1016/j.energy.2021.123008
  • 2. Ali, A., Shakoor, R., Raheem, A., Muqeet, H.A. ul, Awais, Q., Khan, A.A., Jamil, M. (2022). Latest Energy Storage Trends in Multi-Energy Standalone Electric Vehicle Charging Stations: A Comprehensive Study. Energies, 15(13), 4727. https://doi.org/10.3390/en15134727
  • 3. Joel, J. (2023, September 14). These Countries Are Adopting Electric Vehicles the Fastest. World Resources Institute.
  • 4. Lee, W., Xiang, L., Schober, R., Wong, V.W.S. (2015). Electric Vehicle Charging Stations With Renewable Power Generators: A Game Theoretical Analysis. IEEE Transactions on Smart Grid, 6(2), 608-617. https://doi.org/10.1109/TSG.2014.2374592
  • 5. Li, C., Shan, Y., Zhang, L., Zhang, L., Fu, R. (2022). Techno-economic evaluation of electric vehicle charging stations based on hybrid renewable energy in China. Energy Strategy Reviews, 41, 100850. https://doi.org/10.1016/j.esr.2022.100850
  • 6. Luo, C., Huang, Y.-F., Gupta, V. (2018). Stochastic Dynamic Pricing for EV Charging Stations With Renewable Integration and Energy Storage. IEEE Transactions on Smart Grid, 9(2), 1494-1505. https://doi.org/10.1109/TSG.2017.2696493
  • 7. Marinescu, C. (2022). Progress in the Development and Implementation of Residential EV Charging Stations Based on Renewable Energy Sources. Energies, 16(1), 179. https://doi.org/10.3390/en16010179
  • 8. Rajendran, G., Vaithilingam, C.A., Misron, N., Naidu, K., Ahmed, M.R. (2021). A comprehensive review on system architecture and international standards for electric vehicle charging stations. Journal of Energy Storage, 42, 103099. https://doi.org/10.1016/ j.est.2021.103099
  • 9. Turkish Statistical Institute (2021). Land Vehicles. https://data.tuik.gov.tr/Bulten/ Index?p=Road-Motor-Vehicles-January-2021-37411
  • 10. Turkish Statistical Institute (2022). Turkish Greenhouse Gas Inventory 1990-2020. https://unfccc.int/documents/461926
  • 11. Wang, Q., Xue, M., Lin, B.-L., Lei, Z., Zhang, Z. (2020). Well-to-wheel analysis of energy consumption, greenhouse gas and air pollutants emissions of hydrogen fuel cell vehicle in China. Journal of Cleaner Production, 275, 123061. https://doi.org/10.1016/ j.jclepro.2020.123061
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171688750
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.