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Decomposition analysis of energy consumption for an freeway during its operation period: A case study for Guangdong, China

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  • Li, DuoQi
  • Wang, DuanYi

Abstract

Freeways have become the main subject of energy conservation reviews in China because of their large energy consumption. Decomposition analysis has been widely applied in energy consumption studies. However, most studies have only analyzed the driving forces of energy consumption on the national level, and seldom at smaller levels, e.g. for departments like toll stations and maintenance centers. Based on the characteristics of the freeway operation period, this paper serves as a preliminary attempt at applying the logarithm mean Divisia index method I on the department level to analyze the energy consumption of freeways during the operation period. To elucidate the evolution of energy consumption during the operational period, the logarithm mean Divisia index analysis was performed to disentangle the energy consumption based on a real case in Guangdong from 2005 to 2013. The analyses establish that the traffic volume influences energy consumption. The results show that some departments can influence the total energy consumption. For example, the tunnels and toll stations are key factors that influence the total energy consumption of the whole road. The decomposition in the departments revealed that energy efficiency improvements caused by the use of alternate materials and energy-saving technologies mainly contributed to energy conservation.

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  • Li, DuoQi & Wang, DuanYi, 2016. "Decomposition analysis of energy consumption for an freeway during its operation period: A case study for Guangdong, China," Energy, Elsevier, vol. 97(C), pages 296-305.
    • Handle: RePEc:eee:energy:v:97:y:2016:i:c:p:296-305
    DOI: 10.1016/j.energy.2015.12.141
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    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Saidur, R. & Sattar, M.A. & Masjuki, H.H. & Ahmed, S. & Hashim, U., 2007. "An estimation of the energy and exergy efficiencies for the energy resources consumption in the transportation sector in Malaysia," Energy Policy, Elsevier, vol. 35(8), pages 4018-4026, August.
    3. Wang, Y.F. & Li, K.P. & Xu, X.M. & Zhang, Y.R., 2014. "Transport energy consumption and saving in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 641-655.
    4. Choi, Ki-Hong & Ang, B. W., 2003. "Decomposition of aggregate energy intensity changes in two measures: ratio and difference," Energy Economics, Elsevier, vol. 25(6), pages 615-624, November.
    5. Kang, Jidong & Zhao, Tao & Liu, Nan & Zhang, Xin & Xu, Xianshuo & Lin, Tao, 2014. "A multi-sectoral decomposition analysis of city-level greenhouse gas emissions: Case study of Tianjin, China," Energy, Elsevier, vol. 68(C), pages 562-571.
    6. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    7. repec:aen:journl:1997v18-03-a03 is not listed on IDEAS
    8. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    9. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    10. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    11. Zhang, Ming & Li, Huanan & Zhou, Min & Mu, Hailin, 2011. "Decomposition analysis of energy consumption in Chinese transportation sector," Applied Energy, Elsevier, vol. 88(6), pages 2279-2285, June.
    12. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    13. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    14. Wood, Richard & Lenzen, Manfred, 2006. "Zero-value problems of the logarithmic mean divisia index decomposition method," Energy Policy, Elsevier, vol. 34(12), pages 1326-1331, August.
    15. Andreoni, V. & Galmarini, S., 2012. "European CO2 emission trends: A decomposition analysis for water and aviation transport sectors," Energy, Elsevier, vol. 45(1), pages 595-602.
    Full references (including those not matched with items on IDEAS)

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    4. Xinlin Zhang & Yuan Zhao & Qi Sun & Changjian Wang, 2017. "Decomposition and Attribution Analysis of Industrial Carbon Intensity Changes in Xinjiang, China," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    5. Wang, Xianzhu & Huang, He & Hong, Jingke & Ni, Danfei & He, Rongxiao, 2020. "A spatiotemporal investigation of energy-driven factors in China: A region-based structural decomposition analysis," Energy, Elsevier, vol. 207(C).
    6. Qingyou Yan & Yaxian Wang & Tomas Baležentis & Yikai Sun & Dalia Streimikiene, 2018. "Energy-Related CO 2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement," Energies, MDPI, vol. 11(5), pages 1-25, April.
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