nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
2026, 01, v.41 58-64
海上风电与油气融合场景下风资源观测及评估系统开发设计
基金项目(Foundation):
邮箱(Email): weiqian3@cnooc.com.cn;
DOI:
摘要:

海上风电与海洋油气产业融合发展是提高综合能源利用效率,实现海上油气田绿色低碳转型的重要途径。针对海上风电与油气融合开发场景中风资源观测与评估的精细化需求,本文提出了基于海上油气平台部署测风激光雷达的低成本、高精度风资源观测方案,并开发了多源数据融合的风资源评估系统。通过整合激光雷达实测数据、海洋环境数据及油气设施空间信息,实现了一体化、智能化展示和分析,结合地理信息系统实现了场址环境快速分析与风险预判。以某海域油气平台为例进行测试发现,该方法可显著提升海上风电资源评估效率,为油气田周边风电开发提供可靠的数据支撑。

Abstract:

The integrated development of offshore wind power and oil & gas is an important way to improve the overall energy efficiency and achieve the green and low-carbon transition of offshore oil & gas fields. In response to the refined requirements for wind resource observation and evaluation in integrated offshore wind power and oil & gas projects, this paper proposes a low-cost and high-precision observation scheme utilizing Doppler wind lidar deployed on existing offshore oil & gas platforms, and develops a multi-source data fusion assessment system. The system combines measured wind data, marine environmental data, and spatial information of oil & gas facilities to enable integrated intelligent visualization and analysis, as well as rapid analysis and risk prediction of site environment leveraging geographic information systems. Taking a certain offshore oil & gas platform as an example, this method can significantly improve the efficiency of offshore wind power resource assessment, providing reliable data support for wind power development around oil & gas fields.

参考文献

[1]赵文智,梁坤,王坤,等.油气安全战略与“双碳”战略:关系与路径[J].中国科学院院刊, 2023, 38(1):1-10.

[2]李志川,陈雨薇,孙兆恒,等.海上风电场与岸电结合的典型开发场景构建研究[J].电气技术与经济, 2023, 4(1):179-181.

[3]王林.全球最大浮式海上风电场在争议声中投运[N].中国能源报, 2023-9-4(14).

[4]李丽君.世界首个半潜式“双百”深远海浮式风电项目并网成功[J].世界石油工业, 2023,30(3):74.

[5]RADOWITZ B. TotalEnergies to test floating wind pilot to power UK oil&gas platform[EB/OL].(2024-08-29)[2025-07-02]. https://www.rechargenews.com/wind/totalen ergies-to-test-floating-wind-pilot-to-power-uk-oil-gasplatform/2-1-1700311.

[6]杜梦娇,邓浩,文仁强,等.大气再分析资料在中国近海的风能资源特征和适用性分析[J].气候与环境研究,2023, 28(5):483-494.

[7]易侃,张子良,张皓,等.海上风能资源评估数值模拟技术现状及发展趋势[J].分布式能源, 2021, 6(1):1-6.

[8]周荣卫,何晓凤,朱蓉,等.中国近海风能资源开发潜力数值模拟[J].资源科学, 2010, 32(8):1434-1443.

[9]郭乔影.基于星地多源数据的海上风能资源评估方法研究[D].杭州:浙江大学, 2020.

[10]王浩,易侃,杜梦蛟,等.漂浮式激光雷达海上测风可靠性及影响因素研究[J].海洋预报, 2022, 39(5):70-83.

[11]LIU Z, LIU B, WU S, et al. High spatial and temporal resolution mobile incoherent Doppler lidar for sea surface wind measurements[J]. Optics Letters, 2008, 33(13):1485-1487.

[12]周艳宗,王冲,刘燕平,等.相干测风激光雷达研究进展和应用[J].激光与光电子学进展, 2019, 56(2):9-26.

[13]范琪,朱克云,郑佳锋,等.不同天气类型下全光纤相干激光测风雷达探测性能分析[J].中国激光, 2017, 44(2):326-335.

基本信息:

中图分类号:TM614;TE54

引用信息:

[1]李相春,魏倩,陈亮,等.海上风电与油气融合场景下风资源观测及评估系统开发设计[J].海洋信息技术与应用,2026,41(01):58-64.

发布时间:

2026-02-12

出版时间:

2026-02-12

引用

GB/T 7714-2015 格式引文
MLA格式引文
APA格式引文
检 索 高级检索