A process-based model for estimating the well-to-tank cost of gasoline and diesel in China

Weiqi Li, Feng Fu, Linwei Ma*, Pei Liu, Zheng Li, Yaping Dai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

In this paper, we present a process-based model to estimate the well-to-tank (WTT) costs of vehicle fuels (gasoline and diesel). The model breaks down the WTT process into four stages, i.e., crude oil sourcing (import and extraction), crude oil transportation, crude oil refining, and vehicle fuel transportation and distribution, which can provide high-resolution data for the WTT cost components. Using this model, we further develop an empirical study of China. The results obtained from the study indicate that the price of imported crude oil is the dominant factor affecting the WTT costs of vehicle fuels in China and that the cost of crude oil refining also has a relatively large influence. By comparing the costs with the prices of vehicle fuels under the volatile price of imported crude oil, we illustrate the unstable margin caused by China's current pricing policy, which causes a distorted price signal and fiscal risks. The key findings derived from the empirical study reveal that the WTT cost is an essential guide for altering the vehicle fuel price with the aim of not only smoothing the impacts caused by the volatile price of crude oil price but also reflecting the correct oil price signal and reducing the fiscal risks.

Original languageEnglish
Pages (from-to)718-725
Number of pages8
JournalApplied Energy
Volume102
DOIs
Publication statusPublished - 2013

Keywords

  • China
  • Process-based model
  • Vehicle fuel
  • Well-to-tank cost

Fingerprint

Dive into the research topics of 'A process-based model for estimating the well-to-tank cost of gasoline and diesel in China'. Together they form a unique fingerprint.

Cite this