摘要
随着可再生能源的需求不断增加,提高风电场的运行效率已成为当务之急。本文详细探讨了大数据技术在风电场效率评估中的应用,包括风能预测、实时数据分析与监测、以及数据驱动的维护和故障预测。通过分析风电场的数据管理和处理流程,本文强调了数据收集方法的重要性和挑战,以及数据清洗和处理的关键步骤。本文研究的目的是为风电行业提供一个全面的大数据应用框架,以提高能源产出和运营效率。
With the increasing demand for renewable energy,improving the operational efficiency of wind farms has become a top priority.This article explores in detail the application of big data technology in the evaluation of wind farm efficiency,including wind energy prediction,real-time data analysis and monitoring,as well as data-driven maintenance and fault prediction.By analyzing the data management and processing processes of wind farms,this article emphasizes the importance and challenges of data collection methods,as well as the key steps of data cleaning and processing.The purpose of this study is to provide a comprehensive big data application framework for the wind power industry to improve energy output and operational efficiency.
作者
王振生
Zhensheng Wang(Datang Beijing-Tianjin-Hebei Energy Development Co.,Ltd.,Zhangjiakou,Hebei 075000,China)
出处
《产业科技创新》
2024年第3期87-89,共3页
Industrial Technology Innovation
关键词
风电场
运行效率
大数据
数据分析
能源优化
Wind Farm
Operational Efficiency
Big Data
Data Analysis
Energy Optimization
