DOI QR코드

DOI QR Code

국내 동해지역 20 MW급 초대용량 풍력발전시스템 사전 경제성 분석

Preliminary Economic Analysis of 20 MW Super-Capacity Wind Turbine Generator in the East Sea of Korea

  • 이준영 (가천대학교 기계공학과) ;
  • 최서윤 (가천대학교 기계공학과) ;
  • 육래형 (삼성중공업 대덕연구센터) ;
  • 하광태 (울산대학교 부유식풍력학과) ;
  • 정재호 (가천대학교 기계공학과)
  • 투고 : 2022.08.16
  • 심사 : 2022.11.21
  • 발행 : 2022.12.30

초록

Renewable energy is emerging as a way for the government to carry out its 2030 carbon-neutral policy. In this regard, the demand for wind turbine generators for renewable energy is increasing. As a result of restrictions due to civil complaints, offshore wind power generators are actively being developed. At this time, offshore wind power generation has higher maintenance costs, material costs, and installation costs compared to onshore wind power generation. So, an economic evaluation that calculates imports and costs is an important task. The levelized cost of energy (LCOE) is an economic evaluation index used in the energy field. In this paper, based on AEP calculated by windpro, the LCOE calculated by the wind power cost estimation model published in the NREL Economic Analysis Report, installing one 15 MW unit and installing one 20 MW unit and seven units were reviewed and analyzed. As a result, AEP was calculated as 0.140($/Kwh) for the installation of a single 15 MW, 0.142($/Kwh) for the installation of a single 20 MW, and 0.119 ($/Kwh) for the installation of a 20 MW farm. Therefore, it was confirmed that the installation of the single 20 MW was more economical than the installation of the single 15 MW and the installation of the 20 MW farm was most economical.

키워드

과제정보

본 연구는 2022년도 산업통상자원부의 재원으로 한국에너지기술평가원(KETEP)의 지원을 받아 수행한연구 과제(No. 20223030020070)입니다. 본 연구는 2020년도 미래창조과학부의 재원으로 한구연구재단(NRF)을 지원을 받아 수행한 연구 과제(No. 2020R1G1A1099560)입니다. 본 연구는 2022년도 산업통상자원부의 재원으로 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구 과제(No. 20224000000140)입니다.

참고문헌

  1. L. Fingersh, M. Hand, and, A. Laxon, December 2006, "Wind Turbine Design Cost and Scaling Model", Technical report NREL/TP500-40566
  2. Chung T. Y., Moon S. J. and, Rim C. W., "A St udy on the Estimation Model of Cost of Energy for Wind Turbines", New & Renewable Energy. 12 Vol. 8, No. 4, PP. 3-12
  3. Tyler Stehly, Philipp Beiter, and, Patrick Duffy 2020, "2019 Cost of Wind Energy Review", NREL, Technical report NREL/TP-5000-78471
  4. Park S. C., Choi S. Y., Yuck R. H., Ha K. T. and, Jeong J. H., 2022, "Integrated Load Analysis of 20MW Super-Capacity Wind Turbine Generator System", Korean Wind Energy Association 2022 Spring Conference, Jeju Island, Korea
  5. Lee J. Y., Choi S. Y., Yuck R. H., Ha K. T. and, Jeong J. H., 2022, "Aerodynamic Blade Design of 20MW Super-Capacity Wind Turbine Generator System with PROPID Code", Korean Wind Energy Association 2022 Spring Conference, Jeju Island, Korea
  6. Kim H. K. and Chanan Singh, "Three dimensional clustering in wind farms with storage for reliability analysis", June 2013, DOI : 10.1109/PTC.2013.6652253
  7. Riso National Laboratory, Roskilde , Denmark, European, Wind Atlas, The Commission of the European Communities Directorate- General for Science, Research and Development, 1989
  8. EMD, WindPRO Ver 2.8 Mannual, https://www.emd.dk, 2013
  9. Risoe National Laboratory, WAsP 9 help facility, Modelling with WAsP, 2007
  10. Kim J. Y., Hwang S. J., Kim H. G., Park C. Y. and, Jeong J. Y., "Site Adaptation of the Reanalysis Data ERA5 on the Power Prediction of Wind Farms", Journal of the Korean Solar Energy Society, Vol. 42, No. 4, PP. 79-91
  11. I. Relnwardt, N. Gerke, P. Dalhoff, D. Steudel, W. Moser, "Validation of wind turbine wake models with focus on the dynamic wake meandering model", The Science of Making Torque from Wind, 2018
  12. X. Zhang and W. Wang, "Wind farm and wake effect modeling for simulation of a studied power system," IEEE Power Systems Conference and Exposition (PSCE), pp. 1-6, Mar. 2009.
  13. Wind farm wake effect model in The Wind Atlas Analysis and Application Program [Online].Available: http://www.risoe.dk/vea/storpark/presentations/WAsP8%20Wake-effect%20model.pdf