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Urban passenger transport energy saving and emission reduction potential: A case study for Tianjin, China

  • Binbin Peng
  • , Huibin Du*
  • , Shoufeng Ma
  • , Ying Fan
  • , David C. Broadstock
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

With rapid growth of the vehicle population, urban passenger transport in China is largely responsible for increases in energy consumption, greenhouse gas (GHG) emissions, and also atmospheric pollutants (NOx, CO, HC, PM). In this paper, we first develop an urban passenger transport energy saving and emission reduction potential evaluation model using the "Long Range Energy Alternatives Planning (LEAP)" tool; and then take Tianjin city as an empirical case to evaluate the reduction potential of final energy consumption, GHG emissions and pollutants emissions of Tianjin's urban passenger transport sector between 2010 and 2040 under four scenarios, i.e. BAU (business as usual) scenario, PP (the 12th five-year plan policy) scenario, CP (comprehensive policy) scenario and HP (hybrid policy of PP and CP) scenario. The results show that due to the public transport promotion, energy consumption and CO2 emissions in 2040 can be reduced by 22% and 22.6% in the PP scenario, compared to BAU. The largest reductions in energy consumption, CO2 and atmospheric pollutants emissions can be achieved under CP scenario, in which vehicle population regulation is the most effective to be implemented. Emissions standard regulation is the most effective measure to reduce atmospheric pollutant emissions in all the scenarios and green energy promotion is especially effective to reduce NOx and PM.

Original languageEnglish
Pages (from-to)4-16
Number of pages13
JournalEnergy Conversion and Management
Volume102
DOIs
StatePublished - 29 Jul 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Bottom-up model
  • Emission reduction
  • Energy conservation
  • Scenario analysis
  • Urban passenger transport

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