https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Impacts of emission reduction and external cost on natural gas distribution
Mälardalen University, School of Innovation, Design and Engineering. Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-6279-4446
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0003-4589-7045
Show others and affiliations
2017 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 207, p. 553-561Article in journal (Refereed) Published
Abstract [en]

Natural gas, as a cleaner fossil fuel energy resource, is playing an increasingly important role in the futureenergy mix to achieve emission reduction target globally. In this study, a new method based on the exter-nal cost is developed to identify an optimal solution for natural gas distribution. China is selected for acase study. Both the economic cost and the external cost of pollutant emissions have been considered.The provincial distribution of natural gas and other energy resources is optimized with the aim to min-imize both economic and external costs. Results show that the supply of natural gas should be prioritizedfor Beijing, Tianjin and Shanghai, owing to higher external costs and the optimized distribution canreduce the overall external cost by 4% in China. The optimization of natural gas distribution will alsoinfluence CO2emissions, therefore, the determination of the reduction target for each province shouldconsider the external cost. Sensitivity study also shows that the minimum energy demand, the maximumnatural gas supply and the minimum natural gas demand are the key parameters that impact the opti-mized distribution for each province.

Place, publisher, year, edition, pages
2017. Vol. 207, p. 553-561
National Category
Engineering and Technology Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-37534DOI: 10.1016/j.apenergy.2017.06.005ISI: 000417229300048Scopus ID: 2-s2.0-85021212603OAI: oai:DiVA.org:mdh-37534DiVA, id: diva2:1169043
Available from: 2017-12-22 Created: 2017-12-22 Last updated: 2019-01-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Li, Hailong

Search in DiVA

By author/editor
Li, HailongWallin, Fredrik
By organisation
School of Innovation, Design and EngineeringFuture Energy Center
In the same journal
Applied Energy
Engineering and TechnologyEnergy Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 28 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf