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Article: Modeling carbon emission flow in multiple energy systems

TitleModeling carbon emission flow in multiple energy systems
Authors
Keywordscarbon emission flow
energy hub
gas network
heating network
low-carbon
Multiple energy systems
power network
Issue Date2019
Citation
IEEE Transactions on Smart Grid, 2019, v. 10, n. 4, p. 3562-3574 How to Cite?
AbstractMultiple energy systems (MESs) bring different types of energy together and are able to improve energy utilization efficiency and promote the integration of renewable energy. The embedded carbon emission in MES is coupled among the energy flow across different energy systems. The understanding of how the embedded carbon emission should be allocated along with the energy delivery and conversion is significant in the policy making and market design to facilitate carbon emission reduction. A novel analytical model for carbon emission flow (CEF) in MES is proposed in this paper to quantify the carbon emission associated with the energy delivery and conversion process. First, key indicators and basic principles of CEF are defined. Then, the explicit CEF models for different energy networks, including the power network, gas network and heating network, are established. On the basis of the CEF models of energy converters, the CEF model for an energy hub is further formulated to analyze the flow of carbon emission across different energy systems during the conversion process. Finally, the procedure of CEF calculation in MES is provided. The case study results based on two systems are presented to verify the effectiveness of the proposed method.
Persistent Identifierhttp://hdl.handle.net/10722/308753
ISSN
2021 Impact Factor: 10.275
2020 SCImago Journal Rankings: 3.571
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCheng, Yaohua-
dc.contributor.authorZhang, Ning-
dc.contributor.authorWang, Yi-
dc.contributor.authorYang, Jingwei-
dc.contributor.authorKang, Chongqing-
dc.contributor.authorXia, Qing-
dc.date.accessioned2021-12-08T07:50:03Z-
dc.date.available2021-12-08T07:50:03Z-
dc.date.issued2019-
dc.identifier.citationIEEE Transactions on Smart Grid, 2019, v. 10, n. 4, p. 3562-3574-
dc.identifier.issn1949-3053-
dc.identifier.urihttp://hdl.handle.net/10722/308753-
dc.description.abstractMultiple energy systems (MESs) bring different types of energy together and are able to improve energy utilization efficiency and promote the integration of renewable energy. The embedded carbon emission in MES is coupled among the energy flow across different energy systems. The understanding of how the embedded carbon emission should be allocated along with the energy delivery and conversion is significant in the policy making and market design to facilitate carbon emission reduction. A novel analytical model for carbon emission flow (CEF) in MES is proposed in this paper to quantify the carbon emission associated with the energy delivery and conversion process. First, key indicators and basic principles of CEF are defined. Then, the explicit CEF models for different energy networks, including the power network, gas network and heating network, are established. On the basis of the CEF models of energy converters, the CEF model for an energy hub is further formulated to analyze the flow of carbon emission across different energy systems during the conversion process. Finally, the procedure of CEF calculation in MES is provided. The case study results based on two systems are presented to verify the effectiveness of the proposed method.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Smart Grid-
dc.subjectcarbon emission flow-
dc.subjectenergy hub-
dc.subjectgas network-
dc.subjectheating network-
dc.subjectlow-carbon-
dc.subjectMultiple energy systems-
dc.subjectpower network-
dc.titleModeling carbon emission flow in multiple energy systems-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TSG.2018.2830775-
dc.identifier.scopuseid_2-s2.0-85046367612-
dc.identifier.volume10-
dc.identifier.issue4-
dc.identifier.spage3562-
dc.identifier.epage3574-
dc.identifier.isiWOS:000472577500006-

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