부유식 해상풍력 유지보수 관리 적용을 위한 발전손실량 특성 분석

@article{ART002821849},
author={ 문성빈 and 안송강 and 성원경 and 오영진 },
title={부유식 해상풍력 유지보수 관리 적용을 위한 발전손실량 특성 분석},
journal={풍력에너지저널},
issn={2093-5099},
year={2022},
volume={13},
number={1},
pages={5-14},
doi={10.33519/kwea.2022.13.1.001},
url={http://dx.doi.org/10.33519/kwea.2022.13.1.001}

TY - JOUR
AU - 문성빈
AU - 안송강
AU - 성원경
AU - 오영진
TI - 부유식 해상풍력 유지보수 관리 적용을 위한 발전손실량 특성 분석
T2 - 풍력에너지저널
PY - 2022
VL - 13
IS - 1
PB - 한국풍력에너지학회
SP - 5-14
SN - 2093-5099
AB - Currently, the Korean government is driving the construction of large-scale floating offshore wind farms to increase domestic renewable energy generation and decrease carbon emissions. In offshore wind farms, maintenance approaches can be limited more often than onshore wind farms by marine weather conditions (wave height, etc.). Therefore, maintenance planning optimization is more important to minimize maintenance costs and power generation loss by downtime. Additionally, the power generation of a wind farm is affected by wind speed as well as wind direction because of the wake effect, so it is possible that power generation loss by downtime is also dependent on combinations of weather conditions (wind speed and direction) and the location of wind turbines for maintenance. In this study, the effects of the wind conditions and the locations of tripped wind turbines on power generation loss were explored for a hypothetical floating offshore wind farm. In order to calculate the power generation of a wind farm, a wake effect calculator was developed based on Jensen’s formula. Then, a simple methodology of determining maintenance priorities that minimize power generation loss was proposed.
KW - 부유식 해상풍력 단지, 유지보수 관리, 정지시간, 발전 손실량
DO - 10.33519/kwea.2022.13.1.001
UR - http://dx.doi.org/10.33519/kwea.2022.13.1.001
ER -

문성빈 , 안송강 , 성원경 and 오영진 (2022). 부유식 해상풍력 유지보수 관리 적용을 위한 발전손실량 특성 분석. 풍력에너지저널, 13( 1), 5- 14.

문성빈 , 안송강 , 성원경 and 오영진 . 2022, “부유식 해상풍력 유지보수 관리 적용을 위한 발전손실량 특성 분석”, 풍력에너지저널, vol. 13, no. 1, pp. 5-14. Available from: doi:10.33519/kwea.2022.13.1.001

문성빈 안송강 et al. 성원경 오영진 “부유식 해상풍력 유지보수 관리 적용을 위한 발전손실량 특성 분석” 풍력에너지저널 13.1 pp. 5-14 (2022): 5.

문성빈 , 안송강 , 성원경 , 오영진 . 부유식 해상풍력 유지보수 관리 적용을 위한 발전손실량 특성 분석 풍력에너지저널 [Internet]. 2022; 13( 1), : 5-14. Available from: doi:10.33519/kwea.2022.13.1.001

문성빈 , 안송강 , 성원경 and 오영진 . “부유식 해상풍력 유지보수 관리 적용을 위한 발전손실량 특성 분석” 풍력에너지저널 13, no.1 (2022): 5-14. doi: 10.33519/kwea.2022.13.1.001

홈 권호 목록 논문 목록 논문 상세

부유식 해상풍력 유지보수 관리 적용을 위한 발전손실량 특성 분석

풍력에너지저널

약어 : -

2022, vol.13, no.1, pp.5 - 14

DOI : 10.33519/kwea.2022.13.1.001

발행기관 : 한국풍력에너지학회

연구분야 : 기타공학

문성빈¹ , 안송강² , 성원경³ , 오영진⁴

¹한국전력기술(주)

²한국전력기술(주)

³한국전력기술(주)

⁴한국전력기술(주)

인용한 논문 수 : - 서지 간략 보기

초록

Currently, the Korean government is driving the construction of large-scale floating offshore wind farms to increase domestic renewable energy generation and decrease carbon emissions. In offshore wind farms, maintenance approaches can be limited more often than onshore wind farms by marine weather conditions (wave height, etc.). Therefore, maintenance planning optimization is more important to minimize maintenance costs and power generation loss by downtime. Additionally, the power generation of a wind farm is affected by wind speed as well as wind direction because of the wake effect, so it is possible that power generation loss by downtime is also dependent on combinations of weather conditions (wind speed and direction) and the location of wind turbines for maintenance. In this study, the effects of the wind conditions and the locations of tripped wind turbines on power generation loss were explored for a hypothetical floating offshore wind farm. In order to calculate the power generation of a wind farm, a wake effect calculator was developed based on Jensen’s formula. Then, a simple methodology of determining maintenance priorities that minimize power generation loss was proposed.

키워드

부유식 해상풍력 단지, 유지보수 관리, 정지시간, 발전 손실량

참고문헌(9)

[기타] Ministry of Trade, Industry and Energy / 2017 / Renewable Energy 3020 Initiative
[기타] Ministry of Trade, Industry and Energy / 2019Third Energy Master Plan
[학술지] Snyder, B. / 2009 / Ecological and economic cost-benefit analysis of offshore wind energy / Renewable Energy 34 (6) : 1567 ~ 1578
[학술지] Li, X. / 2016 / A decision support system for strategic maintenance planning in offshore wind farms / Renewable Energy 99 : 784 ~ 799
[기타] EMD International / 2020 / windPRO3.4
[학술지] 양경부 / 2017 / 방향별 후류를 고려한 풍력발전단지 연간 에너지 생산량 예측 프로그램 개발 및 적용 / 대한기계학회논문집 B 41 (7) : 469 ~ 480
[학술대회] I. Katic / 1986 / A simple model for cluster efficiency / European Wind Energy Association Conference : 407 ~ 410
[학술지] Zhenzhou Shao / 2019 / MultipleWind TurbineWakes Modeling Considering the FasterWake Recovery in Overlapped Wakes / Energies 12 (4) : 680
[보고서] Christian Bak / 2013 / Description of the DTU 10 MW Reference Wind Turbine