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Article: Power generation expansion planning model towards low-carbon economy and its application in china

TitlePower generation expansion planning model towards low-carbon economy and its application in china
Authors
KeywordsCarbon capture and storage
CO2 emission
Global climate change
Low-carbon economy
Modeling approach
Power generation expansion planning model
Issue Date2010
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59
Citation
Ieee Transactions On Power Systems, 2010, v. 25 n. 2, p. 1117-1125 How to Cite?
AbstractClimate change poses a huge threat to human welfare. Hence, developing a low-carbon economy has become a prevailing and inevitable trend. Decarbonization of power generation, especially converting the current power mix into a low-carbon structure, will be a critical option for CO2 emission mitigation. In this paper, an integrated power generation expansion (PGE) planning model towards low-carbon economy is proposed, which properly integrates and formulates the impacts of various low-carbon factors on PGE models. In order to adapt to the characteristics of PGE models based on low-carbon scenario, a compromised modeling approach is presented, which reasonably decreases complexities of the model, while properly keeping the significant elements and maintaining moderate precision degree. In order to illustrate the proposed model and approach, a numerical case is studied based on the background of China's power sector, making decisions on the optimal PGE plans and revealing the prospects and potentials for CO2 emission reduction. © 2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/124697
ISSN
2015 Impact Factor: 3.342
2015 SCImago Journal Rankings: 4.126
ISI Accession Number ID
Funding AgencyGrant Number
State Key Lab of Power SystemsSKLD09M09
Scientific and Technical Project of State Grid
Scientific Foundation for Returned Overseas Chinese Scholars
Ministry of Education[2009]1001
Program for New Century Excellent Talents in UniversityNCET-07-0484
Funding Information:

Manuscript received May 30, 2009; revised October 21, 2009. First published January 08, 2010; current version published April 21, 2010. This work was supported in part by Grant of State Key Lab of Power Systems (SKLD09M09), Scientific and Technical Project of State Grid, The Project Sponsored by Scientific Foundation for Returned Overseas Chinese Scholars, Ministry of Education ([2009]1001), and Program for New Century Excellent Talents in University (NCET-07-0484). Paper no. TPWRS-00398-2009.

References

 

DC FieldValueLanguage
dc.contributor.authorChen, Qen_HK
dc.contributor.authorKang, Cen_HK
dc.contributor.authorXia, Qen_HK
dc.contributor.authorZhong, Jen_HK
dc.date.accessioned2010-10-31T10:49:04Z-
dc.date.available2010-10-31T10:49:04Z-
dc.date.issued2010en_HK
dc.identifier.citationIeee Transactions On Power Systems, 2010, v. 25 n. 2, p. 1117-1125en_HK
dc.identifier.issn0885-8950en_HK
dc.identifier.urihttp://hdl.handle.net/10722/124697-
dc.description.abstractClimate change poses a huge threat to human welfare. Hence, developing a low-carbon economy has become a prevailing and inevitable trend. Decarbonization of power generation, especially converting the current power mix into a low-carbon structure, will be a critical option for CO2 emission mitigation. In this paper, an integrated power generation expansion (PGE) planning model towards low-carbon economy is proposed, which properly integrates and formulates the impacts of various low-carbon factors on PGE models. In order to adapt to the characteristics of PGE models based on low-carbon scenario, a compromised modeling approach is presented, which reasonably decreases complexities of the model, while properly keeping the significant elements and maintaining moderate precision degree. In order to illustrate the proposed model and approach, a numerical case is studied based on the background of China's power sector, making decisions on the optimal PGE plans and revealing the prospects and potentials for CO2 emission reduction. © 2010 IEEE.en_HK
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59en_HK
dc.relation.ispartofIEEE Transactions on Power Systemsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsIEEE Transactions on Power Systems. Copyright © IEEE.-
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectCarbon capture and storageen_HK
dc.subjectCO2 emissionen_HK
dc.subjectGlobal climate changeen_HK
dc.subjectLow-carbon economyen_HK
dc.subjectModeling approachen_HK
dc.subjectPower generation expansion planning modelen_HK
dc.titlePower generation expansion planning model towards low-carbon economy and its application in chinaen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0885-8950&volume=25&issue=2&spage=1117&epage=1125&date=2010&atitle=Power+generation+expansion+planning+model+towards+low-carbon+economy+and+its+application+in+china-
dc.identifier.emailZhong, J:jinzhong@hkucc.hku.hken_HK
dc.identifier.authorityZhong, J=rp00212en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TPWRS.2009.2036925en_HK
dc.identifier.scopuseid_2-s2.0-77951666162en_HK
dc.identifier.hkuros171902en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77951666162&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume25en_HK
dc.identifier.issue2en_HK
dc.identifier.spage1117en_HK
dc.identifier.epage1125en_HK
dc.identifier.isiWOS:000285051800054-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChen, Q=24922914700en_HK
dc.identifier.scopusauthoridKang, C=7402312938en_HK
dc.identifier.scopusauthoridXia, Q=7202871531en_HK
dc.identifier.scopusauthoridZhong, J=13905948700en_HK
dc.identifier.citeulike9102740-

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