DC Field | Value | Language |
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dc.contributor.author | Lee, Suh-Young | - |
dc.contributor.author | Lee, Jae-Uk | - |
dc.contributor.author | Lee, In-Beum | - |
dc.contributor.author | Han, Jeehoon | - |
dc.date.accessioned | 2018-06-07T01:01:53Z | - |
dc.date.available | 2018-06-07T01:01:53Z | - |
dc.date.created | 2017-01-05 | - |
dc.date.issued | 2017-03 | - |
dc.identifier.issn | 0306-2619 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/50113 | - |
dc.description.abstract | We present a stochastic decision-making algorithm for the design and operation of a carbon capture and storage (CCS) network; the algorithm incorporates the decision-maker's tolerance of risk caused by uncertainties. Given a set of available resources to capture, store, and transport CO2, the algorithm provides an optimal plan of the CCS infrastructure and a CCS assessment method, while minimizing annual cost, environmental impact, and risk under uncertainties. The model uses the concept of downside risk to explicitly incorporate the trade-off between risk and either economic or environmental objectives at the decision-making level. A two-phase-two-stage stochastic multi-objective optimization problem (2P2SSMOOP) solving approach is implemented to consider uncertainty, and the s-constraint method is used to evaluate the interaction between total annual cost with financial risk and an Eco-indicator 99 score with environmental risk. The environmental impact is measured by Life Cycle Assessment (LCA) considering all contributions made by operation and installation of a CCS infrastructure. A case study of power-plant CO2 emission in Korea is presented to illustrate the application of the proposed modeling and solution method. | - |
dc.language | English | - |
dc.publisher | Elsevier | - |
dc.relation.isPartOf | Applied Energy | - |
dc.title | Design under uncertainty of carbon capture and storage infrastructure considering cost, environmental impact, and preference on risk | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.apenergy.2016.12.066 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | Applied Energy, v.189, pp.725 - 738 | - |
dc.identifier.wosid | 000393346800054 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 738 | - |
dc.citation.startPage | 725 | - |
dc.citation.title | Applied Energy | - |
dc.citation.volume | 189 | - |
dc.contributor.affiliatedAuthor | Lee, In-Beum | - |
dc.contributor.affiliatedAuthor | Han, Jeehoon | - |
dc.identifier.scopusid | 2-s2.0-85008199838 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 13 | - |
dc.description.isOpenAccess | N | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | STOCHASTIC-PROGRAMMING-MODEL | - |
dc.subject.keywordPlus | CCS INVESTMENT EVALUATION | - |
dc.subject.keywordPlus | CO2 CAPTURE | - |
dc.subject.keywordPlus | OPTIMIZATION APPROACH | - |
dc.subject.keywordPlus | DIOXIDE CAPTURE | - |
dc.subject.keywordPlus | FINANCIAL RISK | - |
dc.subject.keywordPlus | POWER-PLANTS | - |
dc.subject.keywordPlus | SEQUESTRATION | - |
dc.subject.keywordPlus | MANAGEMENT | - |
dc.subject.keywordPlus | SECTOR | - |
dc.subject.keywordAuthor | CCS | - |
dc.subject.keywordAuthor | Optimization | - |
dc.subject.keywordAuthor | Life Cycle Assessment | - |
dc.subject.keywordAuthor | Stochastic model | - |
dc.subject.keywordAuthor | Downside risk | - |
dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
dc.relation.journalWebOfScienceCategory | Engineering, Chemical | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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