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IEA PVPS:2026光伏系统数字化与数字孪生技术研究报告(英文版)(83页).pdf

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1、Task 13 Reliability and Performance of Photovoltaic SystemsPVPSDigitalisation and DigitalTwins in PhotovoltaicSystems2026Report IEA-PVPS T13-34:2026Task 13 Reliability and Performance of Photovoltaic Systems Digitalisation and Digital Twins in Photovoltaic Systems What is IEA PVPS TCP?The Internatio

2、nal Energy Agency(IEA),founded in 1974,is an autonomous body within the framework of the Organization for Economic Cooperation and Development(OECD).The Technology Collaboration Programme(TCP)was created with a belief that the future of energy security and sustainability starts with global collabora

3、tion.The programme is made up of 6.000 experts across government,academia,and industry dedicated to advancing common research and the application of specific energy technologies.The IEA Photovoltaic Power Systems Programme(IEA PVPS)is one of the TCPs within the IEA and was established in 1993.The mi

4、ssion of the programme is to“enhance the international collaborative efforts which facilitate the role of photovoltaic solar energy as a cornerstone in the transition to sustainable energy systems.”In order to achieve this,the Programmes participants have undertaken a variety of joint research proje

5、cts in PV power systems applications.The overall programme is headed by an Executive Committee,comprised of one dele-gate from each country or organisation member,which designates distinct Tasks,that may be research projects or activity areas.The 28 IEA PVPS participating countries are Australia,Aus

6、tria,Belgium,Canada,China,Denmark,Finland,France,Germany,India,Israel,Italy,Japan,Korea,Lithuania,Malaysia,Morocco,the Netherlands,Norway,Portugal,South Africa,Spain,Sweden,Switzerland,Thailand,Trkiye,the United Kingdom and the United States of America.The European Commission,Solar Power Europe and

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1. **IEA PVPS Task 13**:由国际能源署(IEA)于1993年成立,旨在通过国际合作提升光伏系统可靠性、性能和质量,汇集多国气候区运营数据,制定最佳实践框架。 2. **数字化核心作用**:光伏行业全生命周期(制造、设计、运维、回收)依赖数字化技术,如数字孪生(DT)实现实时监控、故障预测和优化决策,提升效率与可靠性。 3. **数据模型与标准化**:采用MDS-Onto等本体论统一术语,确保数据互操作性(FAIR原则),支持跨阶段数据整合与风险分析。 4. **关键数据**:2024年全球光伏组件年产量超500GW,模块成本自2000年下降90%;无人机检测效率提升50-70%,成本降低。 5. **挑战与展望**:需解决数据碎片化、网络安全问题,结合AI与物联网推动预测性维护,助力能源转型。
数字孪生是什么? 如何提升光伏可靠性? 数据模型有何作用?
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