Journal of Korean Society of Transportation (대한교통학회지)

Korean Society of Transportation (대한교통학회)
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Instantaneous GHG Emission Estimation Method Considering Vehicle Characteristics in Korea

국내 차량의 동적 주행 특성을 반영한 미시적 온실가스 배출량 산정방법론

  • Hu, Hyejung (Highway & Transportation Research Division, Korea Institute of Construction and Technology) ;
  • Yoon, Chunjoo (Highway & Transportation Research Division, Korea Institute of Construction and Technology) ;
  • Lee, Taewoo (Transportation Pollution Research Center, National Institute of Environmental Research) ;
  • Yang, Inchul (Highway & Transportation Research Division, Korea Institute of Construction and Technology) ;
  • Sung, Junggon (Highway & Transportation Research Division, Korea Institute of Construction and Technology)
  • 허혜정 (한국건설기술연구원 도로교통연구실) ;
  • 윤천주 (한국건설기술연구원 도로교통연구실) ;
  • 이태우 (국립환경과학원 교통환경연구소) ;
  • 양인철 (한국건설기술연구원 도로교통연구실) ;
  • 성정곤 (한국건설기술연구원 도로교통연구실)
  • Received : 2013.09.12
  • Accepted : 2013.11.13
  • Published : 2013.12.31
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Abstract

There are lots of variations on speed, acceleration and engine power during vehicle driving. It is well known that Green House Gas emissions by these dynamic driving properties are not precisely estimated by the average speed based emission estimation model which has been currently used in Korea. MOVES are selected as an appropriate transferable model among Micro-level emission estimation models. Based on MOVES, a novel emission estimation model can be used in Korea is developed. In this model, MOVES concept of emission estimation method and the MOVES method of estimating the Micro-level emission rate map is adopted. The results from the proposed model were compared with those from the average speed based emission model. The comparison results show the estimated base emission maps are good to be applied in Korea, but needed to be adjusted to consider the vehicle size differences between the two countries. Therefore, the factors for calibrating vehicle size difference were calculated and applied to acquired the micro-level emission maps for the Korean standard vehicle types.

자동차는 다양한 차속, 가감속도 및 출력의 변화를 겪게 된다. 이와 같은 동적 주행 특성에 의한 온실가스 배출특성은 현행 평균속도 기반의 방법만으로는 정확히 추정하기 어려운 것으로 알려져 있다. 본 연구에서는 미시적 주행 특성의 변화를 고려하는 국외의 미시 기반 배출량 산정방법론 중에서 MOVES를 국내에 도입하기에 가장 적합한 모형으로 선정하여 국내 적용 가능한 미시기반 온실가스 배출량 산정 모형을 개발하였다. 개발 모형에는 MOVES의 배출량 산정 개념을 도입하고, MOVES의 기본 배출율 맵을 활용하여 국내 차량 구분에 맞는 미시 배출맵을 추정하여 적용하였다. 본 개발 모형을 기존 우리나라 배출계수 산정 체계와 연계시켜 비교한 결과 MOVES로부터 추정한 미시 배출율 맵을 국내에 적용하는 것이 타당하나 양국간의 차량규모의 차이를 고려할 필요성이 있음을 발견하였다. 이에, 차종별로 미시배출맵 보정계수를 추정하여 적용함으로써 우리나라 대표 차종에 대응하는 미시기반 배출율 맵을 추정하여 개발모형을 실제로 국내에 활용할 수 있도록 하였다.

Keywords

References

  1. Barth M., An F., Younglove T., Scora G., Levine C., Ross M., Wenzel T. (2001), Comprehensive Modal Emissions Model (CMEM) User's Guide, University of California Riverside Center for Environmental Research and Technology.
  2. Boulter P. G., McCrae I. S., Barlow T. J. (2006), A Review of Instantaneous Emission Models for Road Vehicles, TRL Unpublished Report UPR/IE/030/06, TRL Limited.
  3. Claggett M. (2011), OpMode Distribution Table for Linking Output with MOVES and Microsimulation Models, TRB 90th Annual Meeting.
  4. Department of the Environment, Transport, and the Regions (1999), Design Manual for Roads and Bridges (DMRB), 11(3), Part 1-Air Quality.
  5. IPCC (2006), IPCC Guidelines for National Greenhouse Gas Inventories.
  6. Jost P., Hassel D., Webber F. J., Sonnborn K. S. (1992), Emission and Fuel Consumption Modelling Based on Continuous Measurements, Deliverable 7, DRIVE Project V1053, TUV Rhineland, Cologne.
  7. Joumard R., Jost P., Hickman J. (1995), Influence of Instantaneous Speed and Acceleration on Hot Passenger Car Emissions and Fuel Consumption, SAE Paper 950928, Society of Automotive Engineers, Warrendale, Pennsylvania.
  8. Kim W. C., Kim J. T. (2012), Carbon Reduction Effect of Traffic Operational Methods Itemized in National Project for Advanced Traffic Operation and Management, Korean Society of Civil Engineers, 32(1D), 1-12.
  9. Kim Y. H., Hong S. J., Lee T. W., Park J. H. (2012), Improvement of the Emission Model Based on Average Speeds in the Transportation Sector, J. Korean Soc. Transp., 30(2), Korean Society of Transportation, 117-126. https://doi.org/10.7470/jkst.2012.30.2.117
  10. Ko M. H. (2011), Incorporating Vehicle Emission Models Into the Highway Design Process, Doctoral Dissertation, Texas A&M University.
  11. Lee G., You S., Ritchie S.G., Saphores J.-D., Sangkapicahi M., Jayakrishnan R., (2009), Environmental Impacts of a Major Freight Corridor, Transportation Research Record: Journal of the Transportation Research Board, 2123, 119-128. https://doi.org/10.3141/2123-13
  12. Lee T. W., Keel J. H., Park J. H., Park Y. H., Hong J. H., Lee D. Y. (2011), Speed-Based Emission Factor Regarding Vehicle Specific Power and Acceleration During On-road Driving, Transactions of KSAE, 19(1), 73-81.
  13. Li X., Yang X., Wang W., Deng X. (2006), Motor Vehicles Exhaust Emission Factors for Urban Transportation Planning, Journal of Traffic and Transportation Engineering, 33(4), 87-91.
  14. Lin J., Chiu Y., Bai S., Vallamsundar S. (2011), Integration of MOVES and Dynamic Traffic Assignment Models for Fine-Grained Transportation and Air Quality Analysis, TRB 90th Annual Meeting Workshop #137.
  15. Ministry of Land, Transport and Maritime Affairs (2011), Survey Report for Transport Greenhouse Gas Emissions in 2011.
  16. MIRA (2002), VeTESS Simulation Procedure.
  17. NIER(National Institute of Environmental Research) (2009), Establishment of Climate Change Responding System for Transportation Sector(II) - Development of Bottom-up Type GHGs Emission Factor for Vehicles.
  18. NIER(National Institute of Environmental Research) (2012), Analysis of On-road Air Pollutants Emissions From Light Duty Diesel Vehicles.
  19. Park J. H., Kim W. H., Nam D. H., Lee Y. I. (2007), A Study on the Strategy and the Evaluation of Traffic Operation Considering the Environmental Justice in Emission, J. Korean Soc. Transp., 25(3), Korean Society of Transportation, 7-17.
  20. Pelkmans L., Debal P., Hood T., Hauser G., Delgado M. R. (2004), Development of a Simulation Tool to Calculate Fuel Consumption and Emissions of Vehicles Operating in Dynamic Conditions, SAE Paper 2004-01-1873, Society of Automotive Engineers.
  21. Potoglou, D., Kanatoglou P. S. (2005), Carbon Monoxide Emission From Passenger Vehicles: Predictive Mapping With an Application to Hamilton Canada, Transportation Research Part D, 10, 97-109. https://doi.org/10.1016/j.trd.2004.11.003
  22. Rexeis M., Hausberger S., Riemersma I., Tartakovsky L., Zvirin Y., Erwin C. (2005), Heavy-duty Vehicle Emissions, Final Report of WP400 in ARTEMIS (Assessment and Reliability of Transport Emission Models and Inventory Systems), University of Technology, Graz.
  23. Seo I. K., Lee B. J., Wang W. J., Namgung M. (2007), Feasibility Analysis of Traffic Policy Alternatives for the Depreciation Effect Analysis of Automotive Exhaust Gas Using Microscopic Simulation, J. Korean Soc. Transp., 25(6), Korean Society of Transportation, 89-97.
  24. US EPA (2010), MOVES2010 Highway Vehicle-Population and Activity Data, 71.
  25. Xie S., Song X., Shen X. (2006), Calculating Vehicular Emission Factors With COPERT Model in China, Environmental Science, 27(3), 415-419.

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