Global SunFarm data acquisition network, energy CRADLE, and time series analysis

Yang Hu, M. Hosain, Tarun Jain, Yashwanth R. Gunapati, Lauren Elkin, G. Q. Zhang, R. French
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引用次数: 15

Abstract

Outdoor testing of photovoltaic (PV) modules plays a critical role in discovering the degradation modes, mechanisms and rates of materials, components and systems under real world climate conditions. The Solar Durability and Lifetime Extension (SDLE) center at Case Western Reserve University has established a highly instrumented outdoor test facility, the SDLE SunFarm. In order to study PV module performance under different climatic conditions, a global SunFarm network was established with nine PV outdoor test beds across the world. Energy CRADLE is an ontology driven database acquisition tool which is being developed to effectively store, analyze and query huge data sets generated by the SunFarms. The data collected from all these data sources will stream back to a MySQL database. A front end user interface was built for the purpose of data inquiry, equipment registration, maintenance, and metrology cross check. Design and characteristics of SunFarms are introduced. SunFarm informatics and two case studies will be discussed in this article.
全球SunFarm数据采集网络、能源CRADLE、时间序列分析
光伏(PV)组件的户外测试对于发现材料、组件和系统在真实世界气候条件下的降解模式、机制和速率起着至关重要的作用。凯斯西储大学的太阳能耐久性和寿命延长(SDLE)中心建立了一个高度仪器化的户外测试设施,SDLE SunFarm。为了研究不同气候条件下的光伏组件性能,SunFarm在全球建立了9个光伏户外试验台。Energy CRADLE是一个本体驱动的数据库获取工具,用于有效地存储、分析和查询由SunFarms生成的大量数据集。从所有这些数据源收集的数据将流回MySQL数据库。建立了一个前端用户界面,用于数据查询、设备注册、维护和计量交叉检查。介绍了太阳农场的设计和特点。本文将讨论SunFarm信息学和两个案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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