大数据与风电场运维:欧洲业者在讨论什么?

欧洲风能协会将在 2018 年 5 月举行一个风电场运维分析的 Workshop,其主题是: Big data & Machine learning , 大数据与机器学习。

所谓见微知著,我们不妨看看他们讨论了什么话题:

Session 1:Deriving value from Big Data,从大数据中获得价值

话题 1:Combining IoT and Big Data Analytics to improve Wind Farm Performance, 用物联网和大数据分析提升风场性能

话题 2:Value from free-text maintenance records: converting wind farm work orders into quantifiable, actionable information using text mining,用文本挖掘技术把非结构化的运维日志转换成可量化,并可以此决策的数据信息

话题 3:Power Curve Evaluation Based on Limited Wind Speed Range,基于有限风速范围的功率曲线评价

话题 4:Power Forecasting Improvement Research Project,功率预测提高研究

SESSION 2: Enhancing turbine performance using data,用数据增强机组性能

话题 1: From real wind to actual power output,从风到电能输出

话题 2: Root cause analysis or why this is happening to me,这个话题应该是关于用数据分析挖掘机组运行状态

话题 4:Production gain assessment due to improved dynamic yaw control settings,通过偏航优化提升发电量

话题 5:Monitoring O&M data from 11,443 turbines worldwide: approaches, challenges and lessons learned,从 11443 台风电机组监控运维数据的方法、挑战和经验 - 这个报告是的演讲者来自中国的龙源风电工程公司

话题 6:Findings on the model based diagnostics implementation,基于模型的故障诊断实现

SESSION 3: Lowering operational costs,降低运维成本

话题 1: Guideline on Operational Data Assessment,运维数据评估导则

话题 2: Towards Revenue Assessment,效益导向的评估

话题 3: A look-back analysis on ENGIE plants,ENGIE 计划的回顾与分析

话题 4: Improving offshore wind farm performance through novel access strategies,通过新的数据访问策略达到海上风场性能提升

SESSION 4: Back to the future: from post-construction yield analysis to life extension,关于机组寿命延长的话题

话题 1: Reconciling the past with the present: the impact of developments in reanalysis data on pre- and post-construction yield analysis,数据分析对整个投资建设、运维的价值

话题 2: Leveraging Envision Energys EnOS IoT platform towards automated post-construction yield analysis for benchmarking and improving the accuracy of the Greenwich Systems yield predictions,这是远景能源提交的关于物联网和云平台的话题

话题 4: Surrogate Modelling of load and power output variation in wind farms,风电场载荷与功率输出变化的代替建模

话题 5: An online digital twin for real time calculation of remaining life,实时寿命预估伴随系统

话题 6: Lifetime extension reports and the redesign of O& M concepts for aging turbines,老计组的寿命延长与运维再设计

SESSION 5: Innovations in operations & hybrid systems,运维与新技术混合应用创新

话题 1: Machine Learning for automated detection of wind farm underperformance,用机器学习的方法检测风电场性能异常

话题 2: SCADA analysis might be the best return on investment you ever get,SCADA 数据分析可能是你最好的投资

话题 3: Examining the business incentives for investments in coupled wind – storage systems,这是一个风场与储能系统的话题

以上是整个 Workshop 的所有话题,如果有更详细,更有价值的信息,我会继续跟踪。

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另外,请大家帮个忙,我一个在风电运营商的朋友,想联系 DNV-GL 的风电业务部门,如果读者里有或者知道具体联系方式的请留言给我。

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  • 原文链接http://kuaibao.qq.com/s/20180212G0BUNL00?refer=cp_1026
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