Optimization and Economic Analysis for Small-Scale Movable LNG Liquefaction Process with Leakage Considerations
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Sang Hyun | - |
dc.contributor.author | Lim, Dong-Ha | - |
dc.contributor.author | Park, Kyungtae | - |
dc.date.available | 2021-02-22T05:35:46Z | - |
dc.date.issued | 2020-08 | - |
dc.identifier.issn | 2076-3417 | - |
dc.identifier.issn | 2076-3417 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/2549 | - |
dc.description.abstract | In this study, exergy and economic analysis were conducted to gain insight on small-scale movable LNG liquefaction considering leakage. Optimization and comparison were performed to demonstrate the quantitative results of single mixed refrigerant, dual nitrogen expansion, and the propane pre-cooling self-refrigeration processes. For the optimization, exergy efficiency was used as the objective function; the results showed that exergy efficiencies are 38.85%, 19.96%, and 13.65%, for single mixed refrigerant, dual nitrogen expansion, and propane pre-cooling self-refrigeration, respectively. Further, the cost analysis showed that the product cost of each process is 4002.3 USD/tpa, 5490.2 USD/tpa, and 9608.5 USD/tpa. A sensitivity analysis was conducted to determine parameters that affect exergy and cost. The SMR process is the most competitive in terms of exergy efficiency, product cost, and operability, without considering makeup facilities. | - |
dc.format.extent | 25 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI | - |
dc.title | Optimization and Economic Analysis for Small-Scale Movable LNG Liquefaction Process with Leakage Considerations | - |
dc.type | Article | - |
dc.publisher.location | 스위스 | - |
dc.identifier.doi | 10.3390/app10155391 | - |
dc.identifier.scopusid | 2-s2.0-85089746325 | - |
dc.identifier.wosid | 000559092300001 | - |
dc.identifier.bibliographicCitation | APPLIED SCIENCES-BASEL, v.10, no.15, pp 1 - 25 | - |
dc.citation.title | APPLIED SCIENCES-BASEL | - |
dc.citation.volume | 10 | - |
dc.citation.number | 15 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 25 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.subject.keywordPlus | ENERGY-EFFICIENT | - |
dc.subject.keywordPlus | COLD ENERGY | - |
dc.subject.keywordPlus | DESIGN OPTIMIZATION | - |
dc.subject.keywordPlus | NITROGEN EXPANSION | - |
dc.subject.keywordPlus | LIQUID-NITROGEN | - |
dc.subject.keywordPlus | RANKINE-CYCLE | - |
dc.subject.keywordPlus | EXERGY | - |
dc.subject.keywordAuthor | small-scale movable liquefied natural gas plant | - |
dc.subject.keywordAuthor | particle swarm optimization | - |
dc.subject.keywordAuthor | economic analysis | - |
dc.subject.keywordAuthor | exergy analysis | - |
dc.subject.keywordAuthor | single mixed refrigerant liquefaction process | - |
dc.subject.keywordAuthor | nitrogen expansion liquefaction process | - |
dc.subject.keywordAuthor | propane pre-cooling self-refrigeration process | - |
dc.identifier.url | https://www.mdpi.com/2076-3417/10/15/5391 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127
Copyright©Sookmyung Women's University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.