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지역 기후 앙상블 예측을 활용한 한반도 풍력 에너지의시 · 공간적 변동성 연구

Variability of Wind Energy in Korea Using Regional Climate Model Ensemble Projection

김연희|김나윤|김백조|임윤진|김유미
한국기상학회 (Korean Meteorological Society)|2016.09|대기 (Atmosphere)|제26권 제3호|pp. 373-386

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키워드

variabilityregional climate modelWind energy densityensemble projection
주제분류대기과학

초록

The future variability of Wind Energy Density (WED) over the Korean Peninsula under RCP climate change scenario is projected using ensemble analysis. As for the projection of the future WED, changes between the historical period (1981~2005) and the future projection (2021~2050) are examined by analyzing annual and seasonal mean, and Coefficient of Variation (CV) of WED. The annual mean of WED in the future is expected to decrease compared to the past ones in RCP 4.5 and RCP 8.5 respectively. However, the CV is expected to increase in RCP 8.5. WEDs in spring and summer are expected to increase in both scenarios RCP 4.5 and RCP 8.5. In particular, it is predicted that the variation of CV for WED in winter is larger than other seasons. The time series of WED for three major wind farms in Korea exhibit a decrease trend over the future period (2021~2050) in Gochang for autumn, in Daegwanryeong for spring, and in Jeju for autumn. Through analyses of the relationship between changes in wind energy and pressure gradients, the fact that changes in pressure gradients would affect changes in WED is identified. Our results can be used as a background data for devising a plan to develop and operate wind farm over the Korean Peninsula.

Abstract

The future variability of Wind Energy Density (WED) over the Korean Peninsula under RCP climate change scenario is projected using ensemble analysis. As for the projection of the future WED, changes between the historical period (1981~2005) and the future projection (2021~2050) are examined by analyzing annual and seasonal mean, and Coefficient of Variation (CV) of WED. The annual mean of WED in the future is expected to decrease compared to the past ones in RCP 4.5 and RCP 8.5 respectively. However, the CV is expected to increase in RCP 8.5. WEDs in spring and summer are expected to increase in both scenarios RCP 4.5 and RCP 8.5. In particular, it is predicted that the variation of CV for WED in winter is larger than other seasons. The time series of WED for three major wind farms in Korea exhibit a decrease trend over the future period (2021~2050) in Gochang for autumn, in Daegwanryeong for spring, and in Jeju for autumn. Through analyses of the relationship between changes in wind energy and pressure gradients, the fact that changes in pressure gradients would affect changes in WED is identified. Our results can be used as a background data for devising a plan to develop and operate wind farm over the Korean Peninsula.

참고문헌 (38)

  1. 안중배, "21세기 한반도 기후변화 전망: WRF를 이용한 RCP 4.5와 8.5 시나리오 기온과 강수", 대기, 24(4), pp.541~554 (2014), 한국기상학회
  2. Barstad, I., "Present and future offshore wind power potential in northern Europe based on downscaled global climate runs with adjusted SST and sea ice cover", Renew. Energy, 44, pp.398~405 (2012)
  3. Brayshaw, D. J., "The impact of large scale atmospheric circulation patterns on wind power generation and its potential predictability: A case study over the UK", Renew. Energy, 36, pp.2087~2096 (2011)
  4. 변재영, "중규모 모델 WRF로부터 모의된 한반도 풍력-기상자원 특성 Characteristics of a Wind Map over the Korean Peninsula Based on Mesoscale Model WRF", 대기, 20(2), pp.195~210 (2010), 한국기상학회
  5. 변재영, "기후변화 시나리오에 근거한 한반도 미래 풍력･태양-기상자원 변동성", 신재생에너지, 10(2), pp.29~39 (2014), 한국신·재생에너지학회
  6. Catter, T. R., "IPCC-TG-CIA Guidelines on use of scenario data for climate impact and adaptation assessment Version 1", Task Group on Scenarios for impact Assessment, 69 (1999)
  7. 차동현, "Future Changes in Summer Precipitation in Regional Climate Simulations over the Korean Peninsula Forced by Multi-RCP Scenarios of HadGEM2-AO", 한국기상학회지, 52(2), pp.139~149 (2016), 한국기상학회
  8. 허철운, "기상정보를 활용한 한반도 풍력자원지도 공간적 분포 특성", 대기, 20(2), pp.63~71 (2010), 한국기상학회
  9. 홍성유, "The Global", Regional Integrated Model System (GRIMs), 2013, pp.49(2), 219~243[DOI]
  10. 홍성유, "Dynamical Downscaling: Fundamental Issues from an NWP Point of View and Recommendations", 한국기상학회지, 50(1), pp.83~104 (2014), 한국기상학회
  11. Hueging, H., "Regional changes in wind energy potential over Europe using regional climate change model ensemble projections", J. Appl. Meteor. Climatol, 52, pp.903~917 (2013)
  12. 황윤정, "TIGGE 모델을 이용한 한반도 여름철 집중호우 예측 활용에 관한 연구", 대기, 22(3), pp.287~298 (2012), 한국기상학회
  13. IEA, "Tracking Clean Energy Progress 2013", International Energy Agency, 154~ (2013)
  14. 김도우, "한반도 바람자원의 시공간적 분포", 대기, 18(3), pp.171~182 (2008), 한국기상학회
  15. 김도용, "Mesoscale Simulations of Multi-Decadal Variability in the Wind Resource over Korea", 한국기상학회지, 49(2), pp.183~192 (2013), 한국기상학회
  16. 김현구, "한반도 풍력자원지도 - 2010년판", 한국풍공학회지, 16(4), pp.167~172 (2012), 한국풍공학회
  17. Kim, J. -Y., "Analysis of wind data characteristics of automatic weather stations in Seoul and Inchon areas", Korean J. Atmos. Sci., 36, pp.153~166 (2000)
  18. Kim, J. -Y., "Projected changes in wind speed over the Republic of Korea under A1B climate change scenario", Int. J. Climatol., 34, pp.1346~1356 (2014)
  19. 김선애, "기후변화 시나리오를 활용한 한국의 미래 상층풍의 바람 특성 분석", 기후연구, 10(3), pp.273~285 (2015), 기후연구소[DOI]
  20. 김유미, "기후변화 시나리오를 활용한 한반도 미래 풍력에너지의 시공간적 변동성 전망", 대한지리학회지, 49(6), pp.833~848 (2014), 대한지리학회
  21. Korea Energy Agency, "New & Renewable Energy Supply Statistics 2014", Korea Energy Agency, 135~ (2015)
  22. Lee, J. -W., "Potential for added value to downscaled climate extremes over Korea by increased resolution of a regional climate model", Theor. Appl. Climatol, 117, pp.667~677 (2014)
  23. 이경미, "고해상도 지역기후변화 시나리오를 이용한 한국의 미래 기온극값 변화 전망.", 대한지리학회지, 47(2), pp.208~225 (2012), 대한지리학회[DOI]
  24. Jian Lu, "Expansion of the Hadley cell under global warming", Geophysical Research Letters, 34(6) (2007), Wiley-Blackwell[DOI]
  25. Ryo Mizuta, "Intensification of extratropical cyclones associated with the polar jet change in the CMIP5 global warming projections", Geophysical Research Letters, 39(19) (2012), Wiley-Blackwell[DOI]
  26. MOTIE, "2nd Korea Energy Master Plan", Ministry of Trade, Industry and Energy, 157~ (2014)
  27. Climate Change Report 2011, "NIMR", NIMR, 117~ (2011)
  28. Outten, S. D., "Extreme winds over Europe in the ENSEMBLES regional climate models", Atmos. Chem. Phys., 13, pp.5163~5182 (2013)
  29. Pryor, S. C., "Empirical downscaling of wind speed probability distributions", J. Geophys. Res, 110, pp.D19109~ (2005)
  30. Pryor, S. C., "Importance of the SRES in projections of climate change impacts on near-surface wind regimes", Meteorol. Z., 19, pp.267~273 (2010)
  31. S. C. Pryor, "Influence of spatial resolution on regional climate model derived wind climates", Journal of Geophysical Research: Atmospheres, 117(D3) (2012), Wiley-Blackwell[DOI]
  32. Pryor, S. C., "Analyses of possible changes in intense and extreme wind speeds over northern Europe under climate change scenarios", Clim. Dynam, 38, pp.189~208 (2012)
  33. Reyers, M., "Statisticaldynamical downscaling for wind energy potentials: Evaluation and applications to decadal hindcasts and climate change projections", Int. J. Climatol, 35, pp.229~244 (2015)
  34. 서명석, "Projections of High Resolution Climate Changes for South Korea Using Multiple-Regional Climate Models Based on Four RCP Scenarios. Part 1: Surface Air Temperature", 한국기상학회지, 52(2), pp.151~169 (2016), 한국기상학회
  35. Tobin, I., "Assessing climate change impacts on European wind energy from ENSEMBLES high-resolution climate projections", Climatic Change, (128), pp.99~112 (2015)
  36. Wanner, H., "North Atlantic Oscillation-concepts and studies", Surv. Geophys, 22, pp.321~381 (2001)
  37. Zhang, D. F., "Simulation of present climate over East Asia by a regional climate model", J. Trop. Meteorol, 14, pp.19~23 (2008)
  38. Zoster, E., "“Jumpiness” of the ECMWF and Met Office EPS control and ensemble-mean forecasts", Mon. Wea. Rev., 137, pp.3823~3836 (2009)

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