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Study on the market characteristics of wind power system using learning curves in Korea

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dc.contributor.authorHwang, Sungwook-
dc.contributor.authorWon, Jongryul-
dc.contributor.authorKim, Junghoon-
dc.date.accessioned2022-07-05T08:43:13Z-
dc.date.available2022-07-05T08:43:13Z-
dc.date.created2022-07-05-
dc.date.issued2007-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/29957-
dc.description.abstractNowadays the concern about development and diffusion strategies of new & renewable energy (NRE) and its technologies is getting higher globally as Kyoto Protocol has taken effect this year and oil has been rising in price tremendously. Developed countries have already commenced the study and research for this problem and are looking for various solutions. In this paper, environment of NRE in Korea is analyzed and estimated using the learning curve, which has been powerfully used for analyses of end-use equipments' characteristics in existing studies, as a pre-study for proposing appropriate strategies and feasible methods. The sample study shows how installation costs and the policies affect on the penetration of NRE.-
dc.language영어-
dc.language.isoen-
dc.publisherWORLD SCIENTIFIC AND ENGINEERING ACAD AND SOC-
dc.titleStudy on the market characteristics of wind power system using learning curves in Korea-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Junghoon-
dc.identifier.wosid000250384900047-
dc.identifier.bibliographicCitationEEESD '07: Proceedings of the 3rd IASME/WSEAS International Conference on Energy, Environment, Ecosystems and Sustainable Development, pp.260 - 263-
dc.relation.isPartOfEEESD '07: Proceedings of the 3rd IASME/WSEAS International Conference on Energy, Environment, Ecosystems and Sustainable Development-
dc.citation.titleEEESD '07: Proceedings of the 3rd IASME/WSEAS International Conference on Energy, Environment, Ecosystems and Sustainable Development-
dc.citation.startPage260-
dc.citation.endPage263-
dc.type.rimsART-
dc.type.docTypeProceedings Paper-
dc.description.journalClass3-
dc.relation.journalResearchAreaEnvironmental Sciences & Ecology-
dc.relation.journalResearchAreaEnergy & Fuels-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaForestry-
dc.relation.journalResearchAreaMeteorology & Atmospheric Sciences-
dc.relation.journalWebOfScienceCategoryEcology-
dc.relation.journalWebOfScienceCategoryEnergy & Fuels-
dc.relation.journalWebOfScienceCategoryEngineering, Environmental-
dc.relation.journalWebOfScienceCategoryEnvironmental Sciences-
dc.relation.journalWebOfScienceCategoryForestry-
dc.relation.journalWebOfScienceCategoryMeteorology & Atmospheric Sciences-
dc.subject.keywordAuthornew &amp-
dc.subject.keywordAuthorrenewable energy (NRE)-
dc.subject.keywordAuthorwind power-
dc.subject.keywordAuthordiffusion model-
dc.subject.keywordAuthorlearning curve-
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