Study on the Siting of Offshore Wind Farms and Prospects for Future Development

LI Zhichuan; LI Xinghua; LAO Jingshui; YU Zhiyou; XU Wei; SUN Jianzhang; ZHANG Zijian; LI Ya

doi:10.16516/j.ceec.2024-147

SOUTHERN ENERGY CONSTRUCTION > 2025 > 12(1): 127-140. > DOI: 10.16516/j.ceec.2024-147 CSTR: 32391.14.j.ceec.2024-147

LI Zhichuan, LI Xinghua, LAO Jingshui, et al. Study on the siting of offshore wind farms and prospects for future development [J]. Southern energy construction, 2025, 12(1): 127-140. DOI: 10.16516/j.ceec.2024-147

Citation:

PDF (10649 KB)

Study on the Siting of Offshore Wind Farms and Prospects for Future Development

LI Zhichuan^1,,
LI Xinghua^{2, 3, ,},
LAO Jingshui¹,
YU Zhiyou¹,
XU Wei¹,
SUN Jianzhang¹,
ZHANG Zijian^{2, 3},
LI Ya^{2, 3}

1.
Zhanjiang Nanhai West Oil Survey & Design Co., Ltd., Zhanjiang 524057, Guangdong, China
2.
Prime Ocean Technology (Shenzhen) Inc., Shenzhen 518000, Guangdong, China
3.
Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, Guangdong, China

More Information

Received Date: May 10, 2024
Revised Date: June 04, 2024
Available Online: January 23, 2025

Abstract

Abstract

Objective Under the background of carbon neutrality, the development of new energy has attracted more attention from countries and regions, and offshore wind farms, based on abundant wind resources, have been vigorously developed by governments.
Method The literature related to the offshore wind farms site selection was searched in the Web of Science core database, and the search results were analyzed based on CiteSpace software.
Result The results show that the United States, China and England paid more attention to the research on offshore wind farms, and the number of publications had increased rapidly in recent years. During the period 1997-2010, the assessment of offshore wind energy, wave energy and other resources had been studied as the basis for the macro site selection of offshore wind farms. From 2011 to 2020, the micro-layout of offshore wind farms had been paid more attention. Since 2021, more studies begun to emphasize the sustainable development of offshore wind farms.
Conclusion Overall, the location selection of offshore wind farms is influenced by the distribution of wind resources, the change of seafloor structure, the occurrence of marine geohazards, as well as the issuance of policy. With the maturity of shallow sea wind farm technology, the deep-sea offshore wind farm will be gradually developed in the future, which will further promote the development of floating offshore wind power. In addition, the cooperation development of offshore wind farms with oil and gas development, marine aquaculture and other projects will receive more research and attention.
- future development,
- offshore wind farm,
- location selection,
- influence factor,
- CiteSpace

FullText(HTML)

References (38)

References

[1]	KIKSTRA J S, MASTRUCCI A, MIN J, et al. Decent living gaps and energy needs around the world [J]. Environmental research letters, 2021, 16(9): 095006. DOI: 10.1088/1748-9326/ac1c27.
[2]	DECASTRO M, SALVADOR S, GÓMEZ-GESTEIRA M, et al. Europe, China and the United States: three different approaches to the development of offshore wind energy [J]. Renewable and sustainable energy reviews, 2019, 109: 55-70. DOI: 10.1016/j.rser.2019.04.025.
[3]	ZHAO X G, REN L Z. Focus on the development of offshore wind power in China: Has the golden period come? [J]. Renewable energy, 2015, 81: 644-657. DOI: 10.1016/j.renene.2015.03.077.
[4]	HARRISON-ATLAS D, LOPEZ A, LANTZ E. Dynamic land use implications of rapidly expanding and evolving wind power deployment [J]. Environmental research letters, 2022, 17(4): 044064. DOI: 10.1088/1748-9326/ac5f2c.
[5]	杨光亚. 欧洲海上风电工程实践回顾及未来技术展望 [J]. 电力系统自动化, 2021, 45(21): 23-32. DOI: 10.7500/AEPS20210427001. YANG G Y. Review on engineering practices and future technology prospects of European offshore wind power [J]. Automation of electric power systems, 2021, 45(21): 23-32. DOI: 10.7500/AEPS20210427001.
[6]	MOON H, JEONG J, PARK S, et al. Numerical and experimental validation of vortex generator effect on power performance improvement in MW-class wind turbine blade [J]. Renewable energy, 2023, 212: 443-454. DOI: 10.1016/j.renene.2023.04.104.
[7]	刘晓明, 谭祖贶, 袁振华, 等. 柔性直流接入海上风电并网选址综合优化 [J]. 发电技术, 2022, 43(6): 892-900. DOI: 10.12096/j.2096-4528.pgt.22011. LIU X M, TAN Z K, YUAN Z H, et al. Comprehensive optimization of access point selection for offshore wind farm integrated with voltage source converter high voltage direct current [J]. Power generation technology, 2022, 43(6): 892-900. DOI: 10.12096/j.2096-4528.pgt.22011.
[8]	CROWLE A, THIES P. Floating offshore wind turbines port requirements for construction [J]. Proceedings of the institution of mechanical engineers, part M: journal of engineering for the maritime environment, 2022, 236(4): 1047-1056. DOI: 10.1177/14750902221078425.
[9]	ARGIN M, YERCI V, ERDOGAN N, et al. Exploring the offshore wind energy potential of Turkey based on multi-criteria site selection [J]. Energy strategy reviews, 2019, 23: 33-46. DOI: 10.1016/j.esr.2018.12.005.
[10]	GAO X X, YANG H X, LU L. Study on offshore wind power potential and wind farm optimization in Hong Kong [J]. Applied energy, 2014, 130: 519-531. DOI: 10.1016/j.apenergy.2014.02.070.
[11]	AYDIN N Y, KENTEL E, DUZGUN S. GIS-based environmental assessment of wind energy systems for spatial planning: a case study from western Turkey [J]. Renewable and sustainable energy reviews, 2010, 14(1): 364-373. DOI: 10.1016/j.rser.2009.07.023.
[12]	ATICI K B, SIMSEK A B, ULUCAN A, et al. A GIS-based multiple criteria decision analysis approach for wind power plant site selection [J]. Utilities policy, 2015, 37: 86-96. DOI: 10.1016/j.jup.2015.06.001.
[13]	SHAPERE D. The structure of scientific revolutions [J]. The philosophical review, 1964, 73(3): 383-394. DOI: 10.2307/2183664.
[14]	BURT R S. Structural holes and good ideas [J]. American journal of sociology, 2004, 110(2): 349-399. DOI: 10.1086/421787.
[15]	PIROLLI P, CARD S. Information foraging [J]. Psychological review, 1999, 106(4): 643. DOI: 10.1037/0033-295X.106.4.643.
[16]	KLEINBERG J. Bursty and hierarchical structure in streams [C]// Anon. Proceedings of the Eighth ACM SIGKDD international Conference on Knowledge Discovery and Data Mining, Edmonton Alberta, Canada, July 23, 2002. New York: Association for Computing Machinery, 2002: 91-101. DOI: 10.1145/775047.775061.
[17]	陈超美. CiteSpace的分析原理 [M]//陈超美, 李杰. 科学知识前沿图谱实践. 北京: 高等教育出版社, 2018: 1-4. CHEN C M. Design and analytic principles of CiteSpace [M]// CHEN C M, LI J. Practice of Mapping Scientific Frontiers. Beijing: Higher Education Press, 2018: 1-4.
[18]	LI X J, MA E, QU H L. Knowledge mapping of hospitality research− a visual analysis using CiteSpace [J]. International journal of hospitality management, 2017, 60: 77-93. DOI: 10.1016/j.ijhm.2016.10.006.
[19]	SUN Y Q, WU S M, GONG G Y. Trends of research on polycyclic aromatic hydrocarbons in food: a 20-year perspective from 1997 to 2017 [J]. Trends in food science technology, 2019, 83: 86-98. DOI: 10.1016/j.jpgs.2018.11.015.
[20]	韩增林, 李彬, 张坤领, 等. 基于CiteSpace中国海洋经济研究的知识图谱分析 [J]. 地理科学, 2016, 36(5): 643-652. DOI: 10.13249/j.cnki.sgs.2016.05.001. HAN Z L, LI B, ZHANG K L, et al. Knowledge structure of China's marine economy research: an analysis based on CiteSpace map [J]. Scientia geographica sinica, 2016, 36(5): 643-652. DOI: 10.13249/j.cnki.sgs.2016.05.001.
[21]	ZANUTTIGH B, ANGELELLI E, BELLOTTI G, et al. Boosting blue growth in a mild sea: analysis of the synergies produced by a multi-purpose offshore installation in the northern Adriatic, Italy [J]. Sustainability, 2015, 7(6): 6804-6853. DOI: 10.3390/su7066804.
[22]	唐征歧, 江建平, 李子林, 等. 深远海域海上风电场定量选址方法研究 [J]. 交通信息与安全, 2018, 36(2): 106-111. DOI: 10.3963/j.issn.1674-4861.2018.02.015. TANG Z Q, JIANG J P, LI Z L, et al. A quantitative method for site selection of offshore wind farms in far-reaching sea areas [J]. Journal of transport information and safety, 2018, 36(2): 106-111. DOI: 10.3963/j.issn.1674-4861.2018.02.015.
[23]	梅西, 熊伟, 张勇, 等. 中国海域表层沉积物分布规律及沉积分异模式 [J]. 中国地质, 2020, 47(5): 1447-1462. DOI: 10.12029/gc20200511. MEI X, XIONG W, ZHANG Y, et al. Distribution regularity and sedimentary differentiation patterns of China seas surface sediments [J]. Geology in China, 2020, 47(5): 1447-1462. DOI: 10.12029/gc20200511.
[24]	刘必劲. 福建省海上风电场选址影响因素探讨 [J]. 福建水产, 2015, 37(4): 320-324. DOI: 10.14012/j.cnki.fjsc.2015.04.009. LIU B J. Research on the influence factors of offshore wind farm location in Fujian Province [J]. Journal of Fujian fisheries, 2015, 37(4): 320-324. DOI: 10.14012/j.cnki.fjsc.2015.04.009.
[25]	徐龙. 海上风电推动能源转型的战略选择分析 [J]. 质量与市场, 2021(11): 145-147. XU L. Analysis of strategic options for offshore wind to drive the energy transition [J]. Quality & market, 2021(11): 145-147.
[26]	单治钢, 孙淼军, 王振红, 等. 海上风电重大工程地质问题与对策研究 [J]. 工程地质学报, 2021, 29(增刊1): 203-212. DOI: 10.13544/j.cnki.jeg.2021-0465. SHAN Z G, SUN M J, WANG Z H, et al. Research on major engineering geological problems and corresponding countermeasures in offshore wind power [J]. Journal of engineering geology, 2021, 29(Suppl.1): 203-212. DOI: 10.13544/j.cnki.jeg.2021-0465.
[27]	李中, 谢仁军, 吴怡, 等. 中国海洋油气钻完井技术的进展与展望 [J]. 天然气工业, 2021, 41(8): 178-185. DOI: 10.3787/j.issn.1000-0976.2021.08.016. LI Z, XIE R J, WU Y, et al. Progress and prospect of CNOOC's oil and gas well drilling and completion technologies [J]. Natural gas industry, 2021, 41(8): 178-185. DOI: 10.3787/j.issn.1000-0976.2021.08.016.
[28]	刘展志, 王诗超, 郝为瀚, 等. 大规模海上风电集中送出建设模式研究 [J]. 南方能源建设, 2023, 10(1): 13-20. DOI: 10.16516/j.gedi.issn2095-8676.2023.01.002. LIU Z Z, WANG S C, HAO W H, et al. Research on construction mode of large-scale offshore wind power centralized transmission [J]. Southern energy construction, 2023, 10(1): 13-20. DOI: 10.16516/j.gedi.issn2095-8676.2023.01.002.
[29]	王晴勤, 温国标. 基于交能融合的分布式海上风电选址与布置 [J]. 南方能源建设, 2024, 11(2): 59-67. DOI: 10.16516/j.ceec.2024.2.06. WANG Q Q, WEN G B. Site selection and layout of distributed offshore wind power based on energy and transportation integration [J]. Southern energy construction, 2024, 11(2): 59-67. DOI: 10.16516/j.ceec.2024.2.06.
[30]	STRUNZ S. Speeding up the energy transition [J]. Nature sustainability, 2018, 1(8): 390-391. DOI: 10.1038/s41893-018-0120-2.
[31]	郭雨晨. 英国海洋空间规划关键问题研究及对我国的启示 [J]. 行政管理改革, 2020(4): 74-81. DOI: 10.14150/j.cnki.1674-7453.2020.04.009. GUO Y C. Marine spatial planning: lessons learned from English experience [J]. Administration reform, 2020(4): 74-81. DOI: 10.14150/j.cnki.1674-7453.2020.04.009.
[32]	PYĆ D. Implementation of marine spatial planning instruments for sustainable marine governance in Poland [J]. TransNav: international journal on marine navigation and safety of sea transportation, 2019, 13(2): 311-316. DOI: 10.12716/1001.13.02.06.
[33]	BOO S Y, SHELLEY S A, SHIN S H, et al. Design and analysis of a sub-surface longline marine aquaculture farm for co-existence with offshore wind farm [J]. Journal of marine science and engineering, 2023, 11(5): 1034. DOI: 10.3390/jmse11051034.
[34]	WEISS C V C, ONDIVIELA B, GUINDA X, et al. Co-location opportunities for renewable energies and aquaculture facilities in the Canary Archipelago [J]. Ocean & coastal management, 2018, 166: 62-71. DOI: 10.1016/j.ocecoaman.2018.05.006.
[35]	MICHLER-CIELUCH T, KRAUSE G, BUCK B H. Marine aquaculture within offshore wind farms: social aspects of multiple-use planning [J]. GAIA-ecological perspectives for science and society, 2009, 18(2): 158-162. DOI: 10.14512/GAIA.18.2.14.
[36]	阳杰, 张建华, 马兆荣, 等. 海上风电与海洋牧场融合发展趋势与技术挑战 [J]. 南方能源建设, 2024, 11(2): 1-16. DOI: 10.16516/j.ceec.2024.2.01. YANG J, ZHANG J H, MA Z R, et al. Development trend and technical challenges of the integration of offshore wind turbine with marine ranch [J]. Southern energy construction, 2024, 11(2): 1-16. DOI: 10.16516/j.ceec.2024.2.01.
[37]	王峰, 逯鹏, 张清涛, 等. 海上风电制氢发展趋势及前景展望 [J]. 综合智慧能源, 2022, 44(5): 41-48. DOI: 10.3969/j.issn.2097-0706.2022.05.004. WANG F, LU P, ZHANG Q T, et al. Development trend and prospects of hydrogen production from offshore wind power [J]. Integrated intelligent energy, 2022, 44(5): 41-48. DOI: 10.3969/j.issn.2097-0706.2022.05.004.
[38]	SALMON N, BAÑARES-ALCÁNTAR A R. A global, spatially granular techno-economic analysis of offshore green ammonia production [J]. Journal of cleaner production, 2022, 367: 133045. DOI: 10.1016/j.jclepro.2022.133045.

[1]	HUANG Jinghuan. Analysis of Influencing Factors and Suggestions for the Development of Highway Transportation and Energy Integration Projects[J]. SOUTHERN ENERGY CONSTRUCTION, 2024, 11(S1): 1-6. DOI: 10.16516/j.ceec.2024.S1.01
[2]	ZHANG Ningtao, WANG Rujie, WANG Lidong. Technology Development and Economic Assessment of Direct Air Capture (DAC) in the Context of Carbon Neutrality[J]. SOUTHERN ENERGY CONSTRUCTION, 2024, 11(5): 15-25. DOI: 10.16516/j.ceec.2024.5.02
[3]	SUN Rui, GE Wenpeng, WU Di, MIAO Desheng. Research on Factors Influencing the Heat Dissipation Performance of Semi-Direct Drive Permanent Magnet Wind Generator[J]. SOUTHERN ENERGY CONSTRUCTION, 2023, 10(4): 71-81. DOI: 10.16516/j.gedi.issn2095-8676.2023.04.007
[4]	Chang XU, Molin HE, Cheng YANG, Yingjie ZHANG, ✉. Analysis of Influence Factors of Load Characteristics in Guizhou[J]. SOUTHERN ENERGY CONSTRUCTION, 2020, 7(S1): 36-41. DOI: 10.16516/j.gedi.issn2095-8676.2020.S1.007
[5]	LI Cong, LIU Donghua, WANG Hongqing. Configurational Influence Factor Analysis of Offshore Wind Turbine Monopile Foundation[J]. SOUTHERN ENERGY CONSTRUCTION, 2019, 6(4): 93-100. DOI: 10.16516/j.gedi.issn2095-8676.2019.04.015
[6]	Hongqing WANG, Xudong LIU, Mingjun BI, Jinchao LIU. Analysis of Influencing Factors on Fatigue of Offshore Wind Turbine Monopile Foundation[J]. SOUTHERN ENERGY CONSTRUCTION, 2018, 5(4): 92-97. DOI: 10.16516/j.gedi.issn2095-8676.2018.04.014
[7]	Bingqian WANG, Jianmin DONG, Qianfeng GUAN. Research on the Evaluation Method and Influencing Factors of Wind Power Curtailment Based on System Regulation Capability Analysis[J]. SOUTHERN ENERGY CONSTRUCTION, 2018, 5(2): 71-76. DOI: 10.16516/j.gedi.issn2095-8676.2018.02.010
[8]	YUAN Huimin. Discussion on Influence Factors and Management Strategy of Virtual Team in Power Projects[J]. SOUTHERN ENERGY CONSTRUCTION, 2017, 4(S1): 190-195. DOI: 10.16516/j.gedi.issn2095-8676.2017.S1.036
[9]	SONG Qing, DONG Xiangyun. Roots of Operation Difficulties and Key Influence Factor Analysis for Futher Development of Yunnan Small Hydropower Projects:Take One Project in Diqing Area as an Example[J]. SOUTHERN ENERGY CONSTRUCTION, 2017, 4(S1): 23-27. DOI: 10.16516/j.gedi.issn2095-8676.2017.S1.005
[10]	Yuancan ZHUANG, Jianquan ZHU, Junming HUANG. Analysis of Line Loss Characteristics and Influencing Factors of Distribution Network Based on Metrological Automation System[J]. SOUTHERN ENERGY CONSTRUCTION, 2017, 4(3): 63-68,74. DOI: 10.16516/j.gedi.issn2095-8676.2017.03.012

Cited By

LI Ya

2.
Prime Ocean Technology (Shenzhen) Inc., Shenzhen 518000, Guangdong, China
3.
Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, Guangdong, China

Get Citation

PDF

XML

Article Metrics

Article views (331) PDF downloads (42)

Turn off MathJax

Article Contents

Abstract

References

Study on the Siting of Offshore Wind Farms and Prospects for Future Development

Abstract

References

Related Articles

Catalog

LI Ya

Article Metrics

Study on the Siting of Offshore Wind Farms and Prospects for Future Development

Abstract

References

Related Articles

Catalog

LI Ya

Article Metrics

Export File

Citation

Format

Content