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Measuring the Resource Productivity of Crude Oil: A Chemical Network and its Application
Ren, Yanan1; Liu, Xiaojie2; Liu, Litao2; Shi, Lei1
2018-12-01
Source PublicationJOURNAL OF INDUSTRIAL ECOLOGY
ISSN1088-1980
Volume22Issue:6Pages:1331-1338
Corresponding AuthorShi, Lei(slone@tsinghua.edu.cn)
AbstractThe resource productivity (RP) of crude oil is an important indicator to measure the utilization efficiency of a petroleum resource. In this article, we proposed a methodology to calculate the RP of crude oil from a complex network perspective. We constructed a chemical network comprising 578 chemicals and divided all chemicals into six hierarchical levels according to their processing steps. We put forward two indicators to represent two calculation methods: resource productivity based on material flow analysis and resource productivity based on carbon flow analysis (RPCF). To clarify the differences in the meanings of these two indicators, we extracted the para-xylene (PX) production chain, which is composed of crude oil, PX, pure terephthalic acid, and polyethylene terephthalate, from the network as an example. Finally, we adopted the RPCF indicator. We calculated that the average RPCFs of the six hierarchical levels of crude oil in China from 1992 to 1999 are 145, 219, 601, 929, 1,474, and 4,076 US$/(tonnes carbon). The results show that there is a value-added effect in the extension of petrochemical industrial chains. Among the derivatives of crude oil, the RPCFs of chemicals are obviously higher than those of oils. Countries, regions, industrial parks, and chemical companies can improve RP by extending and choosing chemical production chains and combinations thereof. We can also use the calculation methodology to compare RP of other sources of carbon like carbon dioxide and biomass with that of crude oil, and promote the development of circular economy in energy and chemical production.
Keywordchemical network China crude oil hierarchical levels industrial ecology resource productivity
DOI10.1111/jiec.12729
WOS KeywordORGANIC-CHEMISTRY ; STEEL ; CHINA ; MANAGEMENT ; EFFICIENCY ; INDUSTRY ; FLOWS ; IRON
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation[4110111] ; National Natural Science Foundation[41271546] ; Tsinghua University Initiative Scientific Research Program[20121088096] ; National Science and Technology Support Program[2012BAC03B01]
Funding OrganizationNational Natural Science Foundation ; Tsinghua University Initiative Scientific Research Program ; National Science and Technology Support Program
WOS Research AreaScience & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS SubjectGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY ; Engineering, Environmental ; Environmental Sciences
WOS IDWOS:000447649500005
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52818
Collection中国科学院地理科学与资源研究所
Corresponding AuthorShi, Lei
Affiliation1.Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Ren, Yanan,Liu, Xiaojie,Liu, Litao,et al. Measuring the Resource Productivity of Crude Oil: A Chemical Network and its Application[J]. JOURNAL OF INDUSTRIAL ECOLOGY,2018,22(6):1331-1338.
APA Ren, Yanan,Liu, Xiaojie,Liu, Litao,&Shi, Lei.(2018).Measuring the Resource Productivity of Crude Oil: A Chemical Network and its Application.JOURNAL OF INDUSTRIAL ECOLOGY,22(6),1331-1338.
MLA Ren, Yanan,et al."Measuring the Resource Productivity of Crude Oil: A Chemical Network and its Application".JOURNAL OF INDUSTRIAL ECOLOGY 22.6(2018):1331-1338.
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