Dynamic Accounting Model and Method for Carbon Emissions on the Power Grid Side

Hengjing He, Shangli Zhou, Leping Zhang, Wei Zhao and Xia Xiao ()
Additional contact information
Hengjing He: Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China
Shangli Zhou: Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China
Leping Zhang: Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China
Wei Zhao: Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China
Xia Xiao: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430070, China

Energies, 2023, vol. 16, issue 13, 1-10

Abstract: Currently, in China’s power grid, the accounting of carbon emissions has shortcomings such as unclear accounting boundaries, slow updating of carbon emission factors (EFs), and a lack of spatiotemporal characteristics. In this study, a dynamic accounting model for carbon emission was constructed based on carbon flow theory and the QIO (Quasi-Input-Output) model using the transmission side, the substation side, and the distribution side as accounting nodes. By utilizing the electricity metering data and carbon EF on the input side of the node, the total carbon emissions flowing into the node could be calculated. Furthermore, based on the electricity metering data on the output side of the node, the carbon emissions and carbon EF flowing out of the node could be calculated. The accounting results of carbon emissions and carbon EF are characterized by flexibility and dynamicity in both spatial and temporal dimensions. Finally, the practicality of the method has been demonstrated through a substation node. The accounting model has a positive impact on accurate carbon emission accounting for the power grid, better tracing of carbon emissions, and effective user guidance on active carbon emission reduction.

Keywords: power grid side; carbon emission accounting model; spatiotemporal dynamicity; carbon emission factor; QIO model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/13/5016/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/13/5016/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:13:p:5016-:d:1181784

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().