장소별 완속충전기 적정 보급 비율에 관한 연구 : 전기차 이용자의 통행 및 충전행태에 따른 이질성을 중심으로
Exploring a Balanced Share of Slow Charging Options by Places Based on Heterogeneous Travel and Charging Behavior of Electric Vehicle Users
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최근 정부의 적극적인 지원정책과 함께 전기차 이용자들이 급증하고 있으며, 이로 인해 이용자 중심의 충전인프라 구축에도 많은 관심을 쏟아지고 있다. 다양한 정책의 수립과 함께 건물 특성에 기반한 총량적인 전기차 충전기 보급대수 기준은 마련되고 있으나, 장소별 특성에기반한 완속과 급속충전기 적정 보급 비율에 대한 연구는 제한적이다. 이에 본 연구에서는 전기차 이용자들을 대상으로 진행한 설문조사를 통해 수집한 장소 유형별 공용 완속충전기 보급비율 자료를 바탕으로 적정 보급비율을 도출하고, 개인별로 충전 환경 요구가 어떻게 차별적으로 유형화되고 이들이 어떠한 특성과 연관되는지 분석하였다. 분석 결과, 10% 이하의 완속충전기가 필요한 유형, 40-60% 수준의 완속충전기가 필요하여 완속과 급속충전기의 균등 분배가 필요한 유형, 완속이 80% 이상 필요한 유형 등 총 세 가지 장소 유형을 도출할 수 있었다. 또한 잠재계층 군집분석을 통해 개인별로 서로 다른 장소유형별 완속충전기 필요 수준을 분류한 결과 5개 군집으로 유형화할 수 있었으며, 이들은 사회경제적 변수, 차량의 특성, 통행 및충전행태와 연관된 것으로 나타났다. 특히, 충전행태와 주말 통행행태 그리고 성별, 소득과의연관성이 높은 것으로 나타났다. 본 연구의 분석결과는 향후 충전인프라 정책 수립 및 전기차시장의 변화에 따른 충전인프라 보급 기준 마련에 활용될 수 있을 것으로 사료된다.
Abstract
With the support of local and central governments, various incentive policies for “green” cars have been established, and the number of electric vehicle users has been rapidly increasing in recent years. As a result, much attention is being given to establishing a user-centered charging infrastructure. A standard for the number of electric vehicle chargers to be supplied is being prepared based on building characteristics, but there is quite limited research on the appropriate ratio of slow and fast chargers based on the characteristics of each place. Therefore, this study derived an appropriate penetration ratio based on data about the distribution ratio of common slow chargers. These data were collected using a survey of actual electric vehicle users. Next, an analysis was done on how to categorize the needs of charging environments and to determine what criteria or characteristics to use for categorization. Based on the results of the survey analysis, three types of places were derived. Type-1 places require 10% of chargers to be slow chargers, Type-2 places require 40-60% of chargers to be slow chargers (i.e., around equal distribution of slow and fast chargers), and Type-3 places require more than 80% of chargers to be slow chargers. The required levels of slow chargers were classified by place type and by individual using latent class cluster analysis, which made it possible to categorize them into five clusters related to socioeconomic variables, vehicle characteristics, traffic, and charging behaviors. It was found that there was a high correlation between charging behavior, weekend travel behavior, gender, and income. The results and insights from this study could be used to establish charging infrastructure policies in the future and to prepare standards for supplying charging infrastructure according to changes in the electric vehicle market.
참고문헌 (27)
- Axsen, J., "Plug-in hybrid vehicle GHG impacts in California : Integrating consumer-informed recharge profiles with an electricity-dispatch model", Energy Policy, 39, pp.1617~1629 (2011)
- 변완희, "로짓모형을 이용한 전기자동차 충전시설 선택모형 및 충전요금 지불의사 분석 연구", 한국ITS학회 논문지, 12(4), pp.56~65 (2013), 한국ITS학회[DOI]
- Chakraborty, D., "Demand drivers for charging infrastructure-charging behavior of plug-in electric vehicle commuters", Transportation Research Part D : Transport and Environment, 76, pp.255~272 (2019)
- "EV Energy’s recommendations on electric vehicle charging infrastructure" (2020)[URL]
- Hackbarth, A., "Consumer Preferences for Alternative Fuel Vehicles : A Discrete Choice Analysis", Transportation Research Part D : Transport and Environment, 25, pp.5~17 (2013)
- 한진석, "서울시 전기차 구매행태에 대한 시장분할 분석", 대한교통학회지, 36(2), pp.129~140 (2018), 대한교통학회[DOI]
- Hardman, S., "How do drivers use automation? Insights from a survey of partially automated vehicle owners in the United States", Transportation Research Part A : Policy and Practice, 129, pp.246~256 (2019)
- Junquera, B., "Analyzing Consumer Attitudes Towards Electric Vehicle Purchasing Intentions in Spain : Technological Limitations and Vehicle Confidence", Technological Forecasting & Social Change, 109, pp.6~14 (2016)
- Reduction of Particle Matters, Where Are Electric Vehicles Now (Fuel Cell Vehicles and Plug-in Electric Vehicles)?, "Kang, C. G.", 1~25, pp.Issues and Dignosises no. 404 (2020)
- Kim, D., "Factors affecting electric vehicle sharing program participants’attitudes about car ownership and program participation", Transportation Research Part D : Transport and Environment, 36, pp.96~106 (2015)
- Kim, J., "Expanding Scope of Hybrid Choice Models Allowing for Mixture of Social Influences and Latent Attitudes : Application to Intended Purchase of Electric Cars", Transportation Research Part A : Policy and Practice, 69, pp.71~85 (2014)
- Ko, J., "Determining locations of charging stations for electric taxis using taxi operation data", Transportation Planning and Technology, 40(4), pp.420~433 (2017)
- 이강형, "잠재계층분석을 통한 뉴스 이용자들의 ‘뉴스 미디어 레퍼토리’ 분류 및 효과", 한국언론정보학보, (99), pp.148~176 (2020), 한국언론정보학회[DOI]
- Lee, J. H., "Exploring electric vehicle charging patterns : Mixed usage of charging infrastructure", Transportation Research Part D: Transport and Environment, 79, pp.102249~ (2020)
- Lee, J. H., "Exploring daily rhythms of interpersonal contacts : Time-of-day dynamics of human interactions with latent class cluster analysis", Transportation Research Record, 2666(1), pp.58~68 (2017)
- Development of User-centric Charging Infrastructure Policies for Rapid Adoption of Zero Emission Vehicles, "Lee, J. H.", Korea Research Institute for Human Settlements, ~ (2020)
- Lee, M. S., "Analysis of Status and Utility of Electric Car Charger in Jeju", Korean Institute of Industrial Engineers Conference, pp.5150~5169 (2016)
- Lee, Y. G., "UE-based Location Model of EV Rapid Charging Stations for Different Battery State-of-charge", Doctor, pp.2013
- A Study on the Construction of Charging Infrastructure for Urban Housing, "Ministry of Environment", ~ (2014)
- The 4th Master plan for eco-friendly vehicles 2021-2025, "Ministry of Environment", ~ (2021)
- Ministry of Land, Infrastructure and Transport, "Total Registered Motor Vehicles", ~ (2022)
- 오세창, "Set Covering과 Minisum 기법을 활용한 시설물 최적위치 선정에 관한 연구 (119 구급대 위치선정사례에의 적용)", 대한교통학회지, 27(4), pp.103~113 (2009), 대한교통학회
- 박규호, "전기자동차 충전행태분석", 대한교통학회지, 35(3), pp.210~219 (2017), 대한교통학회[DOI]
- Rudolph, C., "How Many Incentives for Electric Cars Affect Purchase Decisions?", Transport Policy, 52, pp.113~120 (2016)
- Schäuble, J., "Generating electric vehicle load profiles from empirical data of three EV fleets in Southwest Germany", Journal of Cleaner Production, 150, pp.253~266 (2017)
- Vermunt, J. K., "Latent class cluster analysis", Applied Latent Class Analysis, 11, pp.89~106 (2002)
- Vermunt, J. K., "Latent class modeling with covariates : Two improved three-step approaches", Political Analysis, 18(4), pp.450~469 (2010)