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      해양온도차에너지 개발을 위한 해수온도차 출현확률 산정 방법 비교 = Comparison of Two Methods for Estimating the Appearance Probability of Seawater Temperature Difference for the Development of Ocean Thermal Energy

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      다국어 초록 (Multilingual Abstract)

      Understanding of the amount of energy resources and site selection are required prior to develop Ocean Thermal Energy (OTE). It is necessary to calculate the appearance probability of difference of seawater temperature(ΔT) between sea surface layer and underwater layers. This research mainly aimed to calculate the appearance probability of ΔT using frequency analysis(FA) and harmonic analysis(HA), and compare the advantages and weaknesses of those methods which has used in the South Sea of Korea. Spatial scale for comparison of two methods was divided into local and global scales related to the estimation of energy resources amount and site selection. In global scale, the Probability Differences(PD) of calculated ΔT from using both methods were created as spatial distribution maps, and compared areas of PD. In local scale, both methods were compared with not only the results of PD at the region of highest probability but also bimonthly probabilities in the regions of highest and lowest PD. Basically, the strong relationship(pearson r=0.96, α=0.05) between probabilities of two methods showed the usefulness of both methods. In global scale, the area of PD more than 10% was less than 5% of the whole area, which means both methods can be applied to estimate the amount of OTE resources. However, in practice, HA method was considered as a more pragmatic method due to its capability of calculating under various ΔT conditions. In local scale, there was no significant difference between the high probability areas by both methods, showing difference under 5%. However, while FA could detect the whole range of probability, HA had a disadvantage of inability of detecting probability less than 10%. Therefore it was analyzed that the HA is more suitable to estimate the amount of energy resources, and FA is more suitable to select the site for OTE development.
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      Understanding of the amount of energy resources and site selection are required prior to develop Ocean Thermal Energy (OTE). It is necessary to calculate the appearance probability of difference of seawater temperature(ΔT) between sea surface layer a...

      Understanding of the amount of energy resources and site selection are required prior to develop Ocean Thermal Energy (OTE). It is necessary to calculate the appearance probability of difference of seawater temperature(ΔT) between sea surface layer and underwater layers. This research mainly aimed to calculate the appearance probability of ΔT using frequency analysis(FA) and harmonic analysis(HA), and compare the advantages and weaknesses of those methods which has used in the South Sea of Korea. Spatial scale for comparison of two methods was divided into local and global scales related to the estimation of energy resources amount and site selection. In global scale, the Probability Differences(PD) of calculated ΔT from using both methods were created as spatial distribution maps, and compared areas of PD. In local scale, both methods were compared with not only the results of PD at the region of highest probability but also bimonthly probabilities in the regions of highest and lowest PD. Basically, the strong relationship(pearson r=0.96, α=0.05) between probabilities of two methods showed the usefulness of both methods. In global scale, the area of PD more than 10% was less than 5% of the whole area, which means both methods can be applied to estimate the amount of OTE resources. However, in practice, HA method was considered as a more pragmatic method due to its capability of calculating under various ΔT conditions. In local scale, there was no significant difference between the high probability areas by both methods, showing difference under 5%. However, while FA could detect the whole range of probability, HA had a disadvantage of inability of detecting probability less than 10%. Therefore it was analyzed that the HA is more suitable to estimate the amount of energy resources, and FA is more suitable to select the site for OTE development.

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      참고문헌 (Reference)

      1 국립수산과학원, "해양자료센터"

      2 서영상, "해양온도차 발전소의 입지선정을 위한 해수 온도차의 공간적 분포특성 분석" 8 (8): 1999

      3 홍기용, "해양에너지 기술현황과 전망" 대한설비공학회 39 (39): 13-19, 2010

      4 서영상, "한국근해 해양 온도차 발전소의 입지선정에 관한 기초연구 (I)" 1 (1): 44-55, 1998

      5 박준택, "온도차에너지를 열원으로 하는 미활용에너지의 부존량과 이용가능성에 관한 조사연구" 한국에너지공학회 11 (11): 106-113, 2002

      6 해양수산부, "바다는 왜 파란가요?" 삼신인쇄 9-, 1998

      7 Takahashi, M, "미래자원 바다에서 건진다" 아카데미서적 26-60, 2002

      8 조철희, "국내외 해양에너지 기술 현황" 대한설비공학회 37 (37): 14-37, 2008

      9 김계현, "공간분석" 두양사 178-194, 2004

      10 "WIKIPEDIA"

      1 국립수산과학원, "해양자료센터"

      2 서영상, "해양온도차 발전소의 입지선정을 위한 해수 온도차의 공간적 분포특성 분석" 8 (8): 1999

      3 홍기용, "해양에너지 기술현황과 전망" 대한설비공학회 39 (39): 13-19, 2010

      4 서영상, "한국근해 해양 온도차 발전소의 입지선정에 관한 기초연구 (I)" 1 (1): 44-55, 1998

      5 박준택, "온도차에너지를 열원으로 하는 미활용에너지의 부존량과 이용가능성에 관한 조사연구" 한국에너지공학회 11 (11): 106-113, 2002

      6 해양수산부, "바다는 왜 파란가요?" 삼신인쇄 9-, 1998

      7 Takahashi, M, "미래자원 바다에서 건진다" 아카데미서적 26-60, 2002

      8 조철희, "국내외 해양에너지 기술 현황" 대한설비공학회 37 (37): 14-37, 2008

      9 김계현, "공간분석" 두양사 178-194, 2004

      10 "WIKIPEDIA"

      11 Kim, N.J, "Using the condenser effluent from a nuclear power plant for Ocean Thermal Energy Conversion(OTEC)" 36 : 1008-1031, 2009

      12 Zener, C, "The OTEC answer to OPEC -Solar Sea Power-" 99 : 26-29, 1977

      13 Zener, C, "Solar Sea Power" 23 (23): 48-53, 1973

      14 Kang, Y.Q, "Seasonal variation of surface temperatures in the neighbouring Seas of Korea" 19 (19): 31-35, 1984

      15 Wick, G.L, "Prospects for renewable energy from the sea" 11 : 16-21, 1977

      16 Vega, L.A, "Ocean Thermal Energy Conversion"

      17 Richard, C, "OTEC Sites"

      18 국승기, "Introduction of Air Cooling and Heating System by Using Ocean Thermal Energy in KMU" 31 (31): 19-23, 2007

      19 Vega, L.A, "Economics of Ocean Thermal Energy Conversion (OTEC). Ocean Energy Recovery -The State of the Art-, Chapter 7" ASCE 152-181, 1992

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.82 0.82 0.84
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.88 0.8 0.98 0.14
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