The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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A Study on the Optimal Site Selection by Constraint Mapping and Park Optimization for Offshore Wind Farm in the Southwest Coastal Area

서남해 연안 해상풍력 발전단지 지리적 적합지 선정 및 최적배치에 관한 연구

  • Jung-Ho, Kim ;
  • Geon-Hwa, Ryu (OWC ) ;
  • Hong-Chul, Son ;
  • Young-Gon, Kim ;
  • Chae-Joo, Moon (Smart Grid Institute, Mokpo National University)
  • 김중호 (국립목포대학교 대학원) ;
  • 류건화 ;
  • 손홍철 (국립목포대학교 대학원) ;
  • 김영곤 ((사)에너지밸리산학융합원) ;
  • 문채주 (국립목포대학교 스마트그리드연구소)
  • Received : 2022.08.30
  • Accepted : 2022.12.17
  • Published : 2022.12.31
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Abstract

In order to effectively secure site suitability for the development of large-scale offshore wind farms, it is essential to minimize the environmental impact of development and analyze the conflicts of benefit between social, ecological, and economic core values. In addition, a preliminary review of site adequacy must be preceded in order not to collide with other used areas in the marine spatial plan. In addition, it is necessary to conduct local meteorological characteristics analysis including wind resources near Jeollanam-do area before project feasibility study. Therefore, wind resource analysis was performed using the observation data of the meteorological mast installed in Wangdeungnyeo near Anmado, Yeonggwang, and the optimal site was selected after excluding geographical constraints related to the location of the offshore wind farm. In addition, the annual energy production was calculated by deriving the optimal wind farm arrangement results suitable for the local wind resources characteristics based on WindSim SW, and it is intended to be used as basic research data for site discovery and selection of suitable sites for future offshore wind farm projects.

대규모 해상풍력단지 개발을 위한 입지 적합성을 효과적으로 확보하기 위해서는 개발로 인한 환경영향을 최소화하고 사회적·생태적·경제적 핵심가치에 대한 편익 상충에 대한 분석이 필수적이다. 또한 해양공간계획상 타 용도구역과 충돌하지 않도록 입지 적정성에 대한 사전검토가 반드시 선행되어야 하며, 추가로 전남 해역 인근의 풍력자원을 포함한 국지적인 기상 특성 분석도 사업타당성 조사 이전에 수행되어야 할 필요가 있다. 이에 영광군 안마도 인근 왕등여에 설치된 기상탑의 관측자료를 활용하여 풍력자원분석을 수행하였고, 해상풍력 단지 입지 관련 지리적 제약조건을 배제한 후 최적 입지구역을 선정하였다. 또한, 국지적 풍력자원 특성에 적합한 풍력단지 최적배치 결과를 WindSim 기반으로 도출하여 연간발전량을 산출하였으며, 향후 해상풍력 프로젝트의 입지발굴 및 적합지 선정에 기초연구자료로 활용하고자 한다.

Keywords

Acknowledgement

본 과제(결과물)는 2022년도 교육부의 재원으로 한국연구재단의 지원을 받아 수행된 지자체-대학 협력기반 지역혁신 사업의 결과입니다. (2021RIS-002)

References

  1. K. Nam, S. Hwangbo, and C. Yoo, "A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea," Renewable and Sustainable Energy Reviews, vol. 122, 2020, 109725.
  2. S. Kim, C. Moon, and G. Jung, "A study design of wind blade with rated capacity of 50kW," J. of the Korea Institute of Electronic Communication Sciences, vol. 16, no. 3, 2021, pp. 485-492. https://doi.org/10.13067/JKIECS.2021.16.3.485
  3. K. Lee, J. Kim, and S. Yoo, "Would people pay a price premium for electricity from domestic wind power facilities? The case of South Korea," Energy Policy, vol. 156, 2021, 112455.
  4. J. Choi, C. Moon, and Y. Chang, "A study on system retrofit of complex energy eystem," J. of the Korea Institute of Electronic Communication Sciences, vol. 16, no. 1, 2021, pp. 61-68. https://doi.org/10.13067/JKIECS.2021.16.1.61
  5. A. Martinez and G. Iglesias, "Mapping of the levelised cost of energy for floating offshore wind in the European Atlantic," Renewable and Sustainable Energy Reviews, vol. 154, 2022, 111889.
  6. L. Castro-Santos, D. Silva, A. Bento, N. Salvacao, and C. Soares, "Economic feasibility of floating offshore wind farms in Portugal," Ocean Engineering, vol. 207, 2020, 107393.
  7. H. Choi, S. Cho, T. Hwang, J. Nam, and C. Hwang, "Cumulative impact assessment for marine spatial planning: A case study of the Gyeonggi bay in South Korea," Journal of Coastal Research, vol. 114, no. SI, 2021, pp. 360-364.
  8. J. Lee, H. Woo, H. Jung, J. Jeong, and H. Park, "Application of a marine environmental information system data to marine spatial planning(MSP) in the Nakdong river estuary, Busan metropolitan city, South Korea," Journal of Coastal Research, vol. 95, no. SI, 2020, pp. 860-864. https://doi.org/10.2112/SI95-167.1
  9. J. Lee, Y. Koh, and D. Lee, "Strategic improvement plan to increase the usability of coastal base maps throughout Korea," Journal of Coastal Research, vol. 114, no. SI, 2021, pp. 395-399.
  10. T. Pham, S. Im, and J. Choung, "Prospects and economics of offshore wind turbine systems," Journal of Ocean Engineering and Technology, vol. 35, no. 5, 2021, pp. 382-392. https://doi.org/10.26748/KSOE.2021.061
  11. H. Liu, N. Nikitas, Y. Li, and R. Yang, "Big data analysis of energy economics in wind power market," Big Data in Energy Economics, First Online, 2022, pp. 95-115.
  12. G. Ryu, Y. Kim, S. Kwak, M. Choi, M. Jeong, and C. Moon, "Atmospheric stability effects on offshore and coastal wind resource characteristics in South Korea for developing offshore wind farms," Energies, vol. 15, no. 4, 2022, 1305.
  13. G. Ryu, D. Kim, D. Kim, Y. Kim, S. Kwak, M. Choi, W. Jeon, B. Kim, and C. Moon, "Analysis of vertical wind shear effects on offshore wind energy prediction accuracy applying rotor equivalent wind speed and the relationship with atmospheric stability," Applied Sciences, vol. 12, no. 14, 2022, 6949.
  14. T. Tran, E. Kim, and D. Lee, "Development of a 3-legged jacket substructure for installation in the southwest offshore wind farm in South Korea," Ocean Engineering, vol. 246, 2022, 110643.
  15. A. Mathern, C. Haar, and S. Marx, "Concrete support structures for offshore wind turbines: current status, challenges, and future trends," Energies, vol. 14, no. 7, 2021, 1995.
  16. K. Ha, J. Kim, Y. Yu, and H. Seo, "Structural modeling and failure assessment of spar-type substructure for 5MW floating offshore wind turbine under extreme conditions in the east sea," Energies, vol. 14, no. 20, 2021, 6571.
  17. G. Ryu, H. Kim, Y. Kim, K. Chon, J. Joo, and C. Moon, "GIS-Based site analysis of an optimal offshore wind farm for minimizing coastal disasters," Journal of Coastal Research, vol. 114, no. SI, 2021, pp. 246-250.
  18. H. Kim, C. Moon, Y. Kim, K. Chon, J. Joo, and G. Ryu, "Analysis of atmospheric stability for the prevention of coastal disasters and the development of efficient coastal renewable energy," Journal of Coastal Research, vol. 114, no. SI, 2021, pp. 241-245.
  19. S. Kim, G. Ryu, Y. Kim, and C. Moon, "Sensitivity analysis of wake diffusion patterns in mountainous wind farms according to wake model characteristics on computational fluid dynamics," J. of the Korea Institute of Electronic Communication Sciences, vol. 17, no. 2, 2022, pp. 265-278.
  20. D. Wilkie and C. Galasso, "A probabilistic framework for offshore wind turbine loss assessment," Renewable Energy, vol. 147, 2020, pp. 1772-1783. https://doi.org/10.1016/j.renene.2019.09.043
  21. M. Mifsud, T. Sant, and R. Farrugia, "Analysing uncertainties in offshore wind farm power output using measure - correlate - predict methodologies," Wind Energy Science, vol. 5, no. 2, 2020, pp. 601-621. https://doi.org/10.5194/wes-5-601-2020