Directed graph based carbon flow tracing for demand side carbon obligation allocation

Tao Sun, Donghan Feng, Teng Ding, Lixia Chen, Shi You

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In order to achieve carbon emission abatement, some researchers and policy makers have cast their focus on demand side carbon abatement potentials. This paper addresses the problem of carbon flow calculation in power systems and carbon obligation allocation at demand side. A directed graph based method for tracing carbon flow is proposed. In a lossy network, matrices such as carbon losses, net carbon intensity (NCI) and footprint carbon intensity (FCI) are obtained with the proposed method and used to allocate carbon obligation at demand side. Case studies based on realistic distribution and transmission systems are provided to demonstrate the effectiveness of the proposed method.
Original languageEnglish
Title of host publicationProceedings of 2016 IEEE Power and Energy Society General Meeting
Number of pages5
PublisherIEEE
Publication date2016
ISBN (Print)978-1-5090-4168-8
DOIs
Publication statusPublished - 2016
Event2016 IEEE Power and Energy Society General Meeting - Boston. MA, United States
Duration: 17 Jul 201621 Jul 2016

Conference

Conference2016 IEEE Power and Energy Society General Meeting
CountryUnited States
CityBoston. MA
Period17/07/201621/07/2016
SeriesIeee Power and Energy Society General Meeting
ISSN1944-9933

Keywords

  • Carbon dioxide
  • Carbon
  • Load flow
  • Generators
  • Nickel
  • Resource management
  • low-carbon electricity
  • carbon flow
  • carbon obligation
  • demand response
  • graph theory

Cite this

Sun, T., Feng, D., Ding, T., Chen, L., & You, S. (2016). Directed graph based carbon flow tracing for demand side carbon obligation allocation. In Proceedings of 2016 IEEE Power and Energy Society General Meeting IEEE. Ieee Power and Energy Society General Meeting https://doi.org/10.1109/PESGM.2016.7741580