한국환경과학회지 (Journal of Environmental Science International)

  • 제18권8호
  • /
  • Pages.885-897
  • /
  • 2009
  • /
  • 1225-4517(pISSN)
  • /
  • 2287-3503(eISSN)
한국환경과학회 (The Korean Environmental Sciences Society)
권호 표지
DOI QR코드

DOI QR Code

한반도 풍력 자원 지도의 공간 해상도가 풍력자원 예측 정확도에 미치는 영향에 관한 수치연구

Numerical Study on the Impact of the Spatial Resolution of Wind Map in the Korean Peninsula on the Accuracy of Wind Energy Resources Estimation

  • 이순환 (부산대학교 BK21 연안환경시스템사업단) ;
  • 이화운 (부산대학교 지구환경시스템학부) ;
  • 김동혁 (부산대학교 지구환경시스템학부) ;
  • 김민정 (부산대학교 지구환경시스템학부) ;
  • 김현구 (한국에너지기술연구원)
  • Lee, Soon-Hwan (BK21 CESS, Pusan National University) ;
  • Lee, Hwa-Woon (Division of Earth Environment System, Pusan National University) ;
  • Kim, Dong-Hyuk (Division of Earth Environment System, Pusan National University) ;
  • Kim, Min-Jung (Division of Earth Environment System, Pusan National University) ;
  • Kim, Hyun-Goo (Korea Institute of Energy Research)
  • 발행 : 2009.08.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In order to make sure the impact of spatial resolution of wind energy map on the estimation of wind power density in the Korean Peninsula, the comparison studies on the characteristics of wind energy map with three different spatial resolutions were carried out. Numerical model used in the establishment of wind map is MM5 (5th generation Mesoscale Model) with RBAPS (Regional Data Assimilation and Prediction System) as initial and boundary data. Analyzed Period are four months (March, August, October, and December), which are representative of four seasons. Since high spatial resolution of wind map make the undulation of topography be clear, wind pattern in high resolution wind map is correspond well with topography pattern and maximum value of wind speed is also increase. Indication of island and mountains in wind energy map depends on the its spatial resolution, so wind patterns in Heuksan island and Jiri mountains are clearly different in high and low resolutions. And area averaged power density can be changed by estimation method of wind speed for unit area in the numerical model and by treatment of air density. Therefore the studiable resolution for the topography should be evaluated and set before the estimation of wind resources in the Korean Peninsula.

키워드

참고문헌

  1. Global wind Energy Council, 2007, Global wind Energy 2006 Report, 42-80
  2. European Wind Energy Association, 2007, EWEA's response to the European Commission's Green Paper towards a future maritime policy for the union: a European vision for the ocean and seas, Brussels, 1-21
  3. American Wind Energy Association, 2004, Global Market Report 2004, Washington, D.C., 1-60
  4. Yim S., Fung J., Lau A., Kot S., 2007, Developing a high-resolution wind map for a complex terrain with a coupled MM5/CALMET system, J. Geophys. Res., 112(d5), 5106 https://doi.org/10.1029/2006JD007752
  5. Frank H. P., Rathmann O., Mortensen N. G., Langberg L., 2001, The numerical wind atlas- the KAMMIWAsP method, RiS$\o$ National Laboratory, Roskilde, RiS$\o$ - R - 1252(EN), 60pp
  6. 김현구, 이화운, 정우식, 2005, 한반도 바람지도 구축에 관한 연구: I. 원격탐사자료를 이용한 해상풍력 자원 평가, 한국대기환경학회지, 21(1), 1-10
  7. Brower M. C., Bailey B., Zack J., 2001, Applications and validations of the MesoMap system in different climatic regimes, Proc. of wind power 2001, American Wind Energy Association, Washington, D.C., 1-92
  8. 김현구, 장문석, 경남호, 이화운, 최현정, 김동혁, 2006, 수치바람모의에 의한 저해상도 국가 바람지도의 구축, 한국태양에너지학회지, 26(4), 31-38
  9. 이순환, 이화운, 김동혁, 김현구, 2007, 한반도 풍력 자원 평가를 위한 초기 공간해상도와 위성자료 동화의 관계분석, 한국대기환경학회지, 23(6), 653-665 https://doi.org/10.5572/KOSAE.2007.23.6.653
  10. 이화운, 전원배, 이순환, 최현정, 2008, 복잡 연안지역의 지표면 자료 상세화에 따른 수치 기상장 분석, 한국대기환경학회, 24(6), 649-661 https://doi.org/10.5572/KOSAE.2008.24.6.649
  11. 이순환, 김선희, 류찬수, 2006, 지형자료 해상도에 따른 대기유동장 변화에 관한 수치연구, 한국환경학회지, 15(12), 1141-1154 https://doi.org/10.5322/JES.2006.15.12.1141
  12. 이순환, 김민정, 이화운, 2007, 국지규모 풍력에너지 평가를 위한 기상관측 자료의 영향 반경 평가, 한국대기환경학회지, 23(5), 585-595 https://doi.org/10.5572/KOSAE.2007.23.5.585
  13. Lee S. H., Kim Y. K., Kim H. S., Lee H. W., 2007, Influence of dense surface meteorological data assimilation on the prediction accuracy of ozone pollution in the southeastern coastal area of the Korean Peninsula, Atmos. Environ, 41, 4451-4465 https://doi.org/10.1016/j.atmosenv.2007.01.050
  14. Dudhia J., Gill D., Manning K., Wang W., Bruyere C., 2005, PSU/NCAR Mesoscale Modeling System Tutorial Class Notes and Users' Guide (MM5 Modeling System Version 3, 1-172
  15. Lee S. H., Kimura F., 2001, Comparative studies in the local circulations induced by land-use and by topography, Bound. Layer Meteor., 101, 157-182 https://doi.org/10.1023/A:1019219412907

피인용 문헌

  1. Long-Term Wind Resource Mapping of Korean West-South Offshore for the 2.5 GW Offshore Wind Power Project vol.22, pp.10, 2013, https://doi.org/10.5322/JESI.2013.22.10.1305
  2. Numerical study on the characteristics of TKE in coastal area for offshore wind power vol.23, pp.9, 2014, https://doi.org/10.5322/JESI.2014.23.9.1551
  3. Surface Wind Regionalization Based on Similarity of Time-series Wind Vectors vol.10, pp.2, 2016, https://doi.org/10.5572/ajae.2016.10.2.080