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推进新斯科舍省海上风电数据管理战略.pdf

上传人: 表表 编号:1152743 2026-02-14 8页 2.56MB

1、Kevin Smith,PG Principal GeoscientistNova Scotia Offshore Wind R&D Forum 2025Advancing Offshore Wind Data Management Strategies for Nova ScotiaGeo-Data Value to Wind Farm DevelopmentDevex10%Capex70%Turbines35%Foundations20%Source:GWEC,BNEF,IRENA,OffshoreBiz News,enriched with internal intelligenceOp

2、ex20%Devex10%Capex70%Turbines35%Foundations20%US$3-5bper GWCost breakdown for a typical wind farmGeodata share of total cost1-4%What geo-data providesSite screening studiesWind,wave and current measurementsSeabed composition and characteristicsEarth modelsMarine ecology studiesInterpretative analyse

3、s and insightsEngineering design inputsConstruction risk mitigationAsset condition surveillanceBiodiversity monitoringWhat geo-data influencesWind resource quantificationTurbine selectionFoundation and cable designFloater and mooring selectionDevelopment consent applicationsLayout optimisationBusine

4、ss cases and decision makingOperational planningMaintenance regimes and budgetsAsset performance and lifespanNova Scotia Offshore Wind R&D Forum 2025Nova Scotia Offshore Wind R&D Forum 2025Geo-data collected through complimentary,iterative phases that build an Earth model Atmosphere,water column(wav

5、es¤ts),seafloor and sub-seafloor Define existing and project lifetime conditions Planning,design,construction,and operation of wind farmEarth Model EvolutionDesktop StudyGeophysical SurveysGeotechnical InvestigationsLaboratory TestingEngineering AnalysesOptimized Ground ModelNova Scotia Offsho

6、re Wind R&D Forum 2025 Desktop studies:existing data and information Government funded surveys Define initial framework and constraints Foundation concept screening and risk registerEarly Site Screening ActivitiesNova Scotia Offshore Wind R&D Forum 2025Quantitative Integrated Gro

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1. **Geo-data价值**:占海上风电总成本1-4%,影响选址、风机选型、基础设计等全流程,可降低10% Capex和20% Opex。 2. **数据收集阶段**:通过桌面研究、地球物理调查、地质勘察等迭代阶段构建地球模型,涵盖大气、水柱、海底及地下。 3. **技术应用**:高分辨率海底测绘(0.25m多波束)、3D地震反射(0.2m垂直分辨率)及机器学习优化模型,如某项目识别180万块巨石。 4. **数据管理**:项目数据量达30-60TB,需标准化管理;案例显示45TB数据供200+用户使用,提升监管透明度与效率。
**数据如何降本?** **数据如何共享?** **数据如何监管?**
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