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Article: Power generation expansion planning model towards low-carbon economy and its application in china
Title | Power generation expansion planning model towards low-carbon economy and its application in china | ||||||||||||
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Authors | |||||||||||||
Keywords | Carbon capture and storage CO2 emission Global climate change Low-carbon economy Modeling approach Power generation expansion planning model | ||||||||||||
Issue Date | 2010 | ||||||||||||
Publisher | I 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? | ||||||||||||
Abstract | Climate 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 Identifier | http://hdl.handle.net/10722/124697 | ||||||||||||
ISSN | 2023 Impact Factor: 6.5 2023 SCImago Journal Rankings: 3.827 | ||||||||||||
ISI Accession Number ID |
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 Field | Value | Language |
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dc.contributor.author | Chen, Q | en_HK |
dc.contributor.author | Kang, C | en_HK |
dc.contributor.author | Xia, Q | en_HK |
dc.contributor.author | Zhong, J | en_HK |
dc.date.accessioned | 2010-10-31T10:49:04Z | - |
dc.date.available | 2010-10-31T10:49:04Z | - |
dc.date.issued | 2010 | en_HK |
dc.identifier.citation | Ieee Transactions On Power Systems, 2010, v. 25 n. 2, p. 1117-1125 | en_HK |
dc.identifier.issn | 0885-8950 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/124697 | - |
dc.description.abstract | Climate 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.language | eng | en_HK |
dc.publisher | I E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59 | en_HK |
dc.relation.ispartof | IEEE Transactions on Power Systems | en_HK |
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.subject | Carbon capture and storage | en_HK |
dc.subject | CO2 emission | en_HK |
dc.subject | Global climate change | en_HK |
dc.subject | Low-carbon economy | en_HK |
dc.subject | Modeling approach | en_HK |
dc.subject | Power generation expansion planning model | en_HK |
dc.title | Power generation expansion planning model towards low-carbon economy and its application in china | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://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.email | Zhong, J:jinzhong@hkucc.hku.hk | en_HK |
dc.identifier.authority | Zhong, J=rp00212 | en_HK |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1109/TPWRS.2009.2036925 | en_HK |
dc.identifier.scopus | eid_2-s2.0-77951666162 | en_HK |
dc.identifier.hkuros | 171902 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-77951666162&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 25 | en_HK |
dc.identifier.issue | 2 | en_HK |
dc.identifier.spage | 1117 | en_HK |
dc.identifier.epage | 1125 | en_HK |
dc.identifier.isi | WOS:000285051800054 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Chen, Q=24922914700 | en_HK |
dc.identifier.scopusauthorid | Kang, C=7402312938 | en_HK |
dc.identifier.scopusauthorid | Xia, Q=7202871531 | en_HK |
dc.identifier.scopusauthorid | Zhong, J=13905948700 | en_HK |
dc.identifier.citeulike | 9102740 | - |
dc.identifier.issnl | 0885-8950 | - |