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Prediction of the Electric Vehicles Supply and Electricity Demand Using Growth Models

성장모형을 활용한 전기자동차 보급과 전력수요 예측

  • Hyo Seung Han (Traffic Policy Research Division, Road Traffic Authority & Dept. of Transportation Eng., Ajou University) ;
  • Ilsoo Yun (Dept. of Transportation System Eng., Ajou University)
  • 한효승 (도로교통공단 정책연구처 및 아주대학교 교통공학과) ;
  • 윤일수 (아주대학교 교통시스템공학과)
  • Received : 2023.05.19
  • Accepted : 2023.07.31
  • Published : 2023.08.31

Abstract

European and American countries are actively promoting eco-friendly cars to reduce exhaust emissions from internal combustion engines. In Korea, the "4th Basic Plan for Eco-Friendly Vehicles" aims to promote eco-friendly cars by improving charging infrastructure, expanding incentive systems, and targeting the supply of 1.13 million eco-friendly cars by 2025. As rapid growth in the number of electric vehicles sold is expected, estimates are required of this growth and corresponding power demands. In this study, the authors used a growth model to predict future growth in the electric vehicle market and a previously derived electricity generation model to estimate corresponding power demands up to 2036, the target year of the "10th Basic Plan for Power Supply and Demand". The results obtained provide useful basic research data for future electric vehicle infrastructure planning.

유럽과 미국을 중심으로 내연기관 자동차에서 나오는 배기가스를 줄이기 위해 친환경 자동차를 적극적으로 보급하는 정책이 펼쳐지고 있다. 우리나라에서도 '제4차 친환경자동차 기본계획'을 통해 충전인프라 개선과 인센티브제도 확대로 2025년 113만대의 친환경 자동차 보급을 목표하고 있어 전기자동차의 급격한 성장이 예상된다. 따라서 대략적이지만 구체적인 성장규모와 그에 따른 전력수요량을 도출하는 것이 필요하다. 본 연구에서는 성장모형 중 향후 전기자동차의 보급대수를 잘 설명할 수 있는 모형을 활용하여 전기자동차의 대수를 예측하였다. 그리고 선행연구에서 제시한 전기에너지 산출모형을 활용하여 「제10차 전력수급기본계획」의 목표연도인 2036년까지 전기자동차의 보급대수와 전력수요량을 제시하였다. 본 연구 결과를 토대로 향후 전기자동차 인프라 계획·구축을 위한 기초 연구자료로 활용될 것을 기대된다.

Keywords

Acknowledgement

본 논문은 한국ITS학회 2023년 춘계학술대회에서 발표한 내용을 수정·보완하여 발표하였습니다.

References

  1. Byun, W. H., Lee, K. H., Lee, S. H. and Kee, H. Y.(2012), "Demand Forecasts Analysis of Electric Vehicles for Apartment in 2020", The Journal of the Korea Institute of Intelligent Transport Systems, vol. 11, no. 3, pp.81-91. https://doi.org/10.12815/kits.2012.11.3.81
  2. Choi, G. W.(2021), Estimation of Panel Retention Rate Function Using Growth Curve Model in Panel Surveys, University of Seoul, p.5.
  3. Eisenmann, C., Gorges, D. and Franke, T.(2021), "Electric Vehicles", In International Encyclopedia of Transportation, Elsevier, pp.147-154.
  4. EU(2022), Euro 7 Standards: New rules for vehicle emissions fact sheets.
  5. Guarnieri, M.(2012), "Looking back to electric cars", Third IEEE History of Electro-technology Conference(Histelcon), Pavia.
  6. Hwang, M. Y., Yoon, J. M. and Cha, J. M.(2011), "A Study for Forecasting of Power Consumption due to Increase of Electric Vehicle", Proceeding of the 42th the KIEE Summer Conference 2011, pp.23-24.
  7. Jeong, Y. N., Shin, C. K. and Yoo, S. J.(2019), "A Study on Estimation of the Demand for Long-term Care Facilities through the Growth Model of Gompertz", Journal of the Korean Cadastre Information Association, vol. 21, no. 3, pp.125-139.
  8. Kim, T. M.(2020), The Eeconomic Impact of 5G Telecommunications Industry on the Basis of the Gompertz Growth Model and Input-Output Analysis, Hanyang University, pp.4-80.
  9. Korea Energy Agency, https://bpms.kemco.or.kr:444/transport_2012/main/main.aspx, 2023.02.16.
  10. Korean Statistical Information Service(KOSIS), https://kosis.kr/statHtml/statHtml.do?orgId=426&tblId=DT_42601_N003&vw_cd=MT_ZTITLE&list_id=M2_20&seqNo=&lang_mode=ko&language=kor&obj_var_id=&itm_id=&conn_path=MT_ZTITLE, 2023.02.22.
  11. Lee, C. G.(2002), Comparison Study about the Validity of Demand Forecasting Techniques using Growth Curve Models, Sogang University, pp.56-59.
  12. Lee, G. Y., Jeong, J. W., Lee, K. H., Yoon, S. H. and Park, S. H.(2023), "Study in Range and Energy Consumption Efficiency of Electric Passenger Vehicle under Real-Road Driving Conditions", Korean Society of Automotive Engineers, vol. 31, no. 5, pp.361-369. https://doi.org/10.7467/KSAE.2023.31.5.361
  13. Lee, K. S.(2022), A study on the Application of the Gompertz Model for Industry Life Cycle Analysis and the Characteristics of Input Resources in the Korean Manufacturing Industry, Hanyang University Graduate School of Technology Management, pp.35-45.
  14. Lee, S. G. and Park, B. J.(2019), "Study for Zero Emissoon Vehicle Technology: Current Status and Recent Trends", The Journal of the Convergence on Culture Technology, vol. 5, no. 1, pp.377-381. https://doi.org/10.17703/JCCT.2019.5.1.377
  15. Lee, S. J., Son, S. E. and Park, M. H.(2017), "A Study on the Prediction and Effect Analysis of EV Motorization in the Republic of Korea", Innovation Studies, vol. 12. no. 3, pp.117-133.
  16. Lee, Y. J., Kim, J. K. and Won, D. H.(2020), "Prospect of Dissemination of Electric Vehicle(xEV) using Diffusion Models", The Journal of Northeast Asian Economic Studies, vol. 32, no. 2, pp.189-220.
  17. Ministry of Land, Infrastructure and Transport(2023), https://stat.molit.go.kr/portal/cate/statFileView.do?hRsId=58, 2023.01.31.
  18. Ministry of Trade, Industry and Energy(2021), The 4th Master plan for Eco-Vehicles, pp.1-62.
  19. Ministry of Trade, Industry and Energy(2023), The 10th Basic Plan for Electricity Supply and Demand.
  20. Oh, S. B., Lee, G. M. and Hwang, C. G.(2014), "The Effects of Penetration of the Electric Vehicles on the Electric Power Grid in the Jeju Island", The transactions of The Korean Institute of Electrical Engineers, vol. 63, no. 1, pp.10-17. https://doi.org/10.5370/KIEE.2014.63.1.010
  21. Oh, S. Y.(2020), "Forecasting methodology of future demand market", Journal of Digital Convergence, vol. 18, no. 2, pp.205-211.
  22. Suh, M. K. and Lee, D. S.(2015), "Forecasting for the Demand on Water Amenity Zones in the Large Rivers Based on Regional Characteristics and Monthly Variation", Journal of Wetlands Research, vol. 17, no. 4, pp.436-446. https://doi.org/10.17663/JWR.2015.17.4.436
  23. Yonhapnewstv, https://www.yonhapnewstv.co.kr/news/MYH20200925003000038?did=1825m, 2023.04.07.