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온라인 전기자동차의 상용화를 위한 인프라 구축비용 타당성에 대한 연구

A Study on the Validity of the Infrastructure Construction Cost for the Commercialization of Online Electric Vehicles

  • 송용욱 (연세대학교 원주캠퍼스 경영학부) ;
  • 박상언 (경기대학교 경영정보학과) ;
  • 김우주 (연세대학교 정보산업공학과) ;
  • 홍준석 (경기대학교 경영정보학과) ;
  • 전동규 (연세대학교 정보산업공학과) ;
  • 이상헌 (연세대학교 정보산업공학과) ;
  • 박종한 ((주)올레브 기획팀)
  • Song, Yong Uk (Division of Business Administration, Yonsei University Wonju Campus) ;
  • Park, Sangun (Department of Management Information Systems, Kyonggi University) ;
  • Kim, Wooju (Department of Information Industrial Engineering, Yonsei University) ;
  • Hong, June S. (Department of Management Information Systems, Kyonggi University) ;
  • Jeon, DongKyu (Department of Information Industrial Engineering, Yonsei University) ;
  • Lee, Sangheon (Department of Information Industrial Engineering, Yonsei University) ;
  • Park, Jonghan (OLEV CO., Ltd.)
  • 투고 : 2013.01.16
  • 심사 : 2013.02.16
  • 발행 : 2013.02.28

초록

본 연구는 온라인 전기자동차를 상용화하기 위해 필요한 인프라 구축비용의 타당성을 알아보기 위한 연구이다. 이를 위해 서울시의 버스노선을 대상으로, 온라인 전기자동차 운영을 위해 필요한 인프라의 구축비용에 대해 연구하였다. 현재 전기자동차 운영방식의 대안으로는 OLEV 방식과 PEV 방식이 고려되고 있으며, 각 방식은 충전지 비용과 충전기 비용에서 각기 장점을 갖고 있다. 두 방식의 총비용을 비교하기 위해 본 논문에서는 온라인 전기버스의 급전장치 설치비용을 최소화하기 위한 급전 장치 최적 배치 모형을 제시하였다. 이를 위하여 먼저 버스정류장에 서로 다른 길이의 급전장치를 설치할 경우의 총 설치비용을 최소화하는 혼합정수계획법(Mixed Integer Programming) 모형을 모델링하였다. 모형에서 사용하는 계수를 구하기 위해 각 버스정류장에서의 평균 정차시간을 구하는 시뮬레이터를 개발하였으며, 계산된 계수와 최적화모형을 이용하여 시내버스 노선 전체에 대하여 최적화된 인프라의 배치 개수와 위치를 결정할 수 있는 시스템을 개발하였다. 서울시의 실제 자료를 대상으로 OLEV 방식과 PEV 방식에서의 총비용을 계산하고 비교한 결과 OLEV 방식의 총 비용이 저렴하게 나타났으며, 결과적으로 OLEV 방식의 상용화 타당성을 입증할 수 있었다.

This study aims to validate the cost of building the infrastructure to commercialize online electric vehicles. For that purpose, we probe the cost to construct the necessary infrastructure for online electric vehicles regarding Seoul area public bus transit. OLEV and PEV are considered as alternative electric vehicle schemes, and each of them has their own cons and pros in terms of rechargeable battery cost and charger cost. An optimization model which minimizes the cost to install online electric bus feeding devices is proposed in order to compare the total costs of the two alternative schemes. We developed a Mixed Integer Programming model to locate the feeding devices of several different lengths at each bus stops. Furthermore, we implemented a computer simulator to obtain the parameters which will be used in the MIP model and a Web-based system which determines the optimal location of infrastructure for the whole city area from a result of the MIP model. The cost comparison result shows that the total cost of OLEV is cheaper than that of PEV considering the real data of Seoul area public transit, and, as a result, confirms the feasibility of the commercialization of OLEV.

키워드

참고문헌

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피인용 문헌

  1. System Architecture and Mathematical Models of Electric Transit Bus System Utilizing Wireless Power Transfer Technology vol.10, pp.2, 2016, https://doi.org/10.1109/JSYST.2014.2369485