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An approach for designing smart manufacturing for the research and development of dye-sensitize solar cell
Journal of Intelligent Manufacturing ( IF 8.3 ) Pub Date : 2021-06-07 , DOI: 10.1007/s10845-021-01794-z
Jorge L. Alonso-Perez , Selene L. Cardenas-Maciel , Balter Trujillo-Navarrete , Edgar A. Reynoso-Soto , Nohe R. Cazarez-Cazarez

The research and development (R&D) of the scale-up process of third-generation photovoltaics (PVs) can benefit from the emerging trends and technologies related to the Industrial Internet of Things. However, to migrate the small-scale laboratory PVs products to a larger version of the industrial scale, a processing platform is needed to design, fabricate, and test the production line. In this paper, after a brief introduction of the production process of thin-film PVs, specifically dye-sensitized solar cells, the Industrial Internet Reference Architecture (IIRA) has been applied to the R&D scenario for the production of thin-film PVs, in order to synchronize and manage the large amount of data generated by the real, virtual or hybrid production devices and processes. The results of this study suggest that the future implementation of IIRA is a reliable option in a learning factory environment for multidisciplinary collaboration, research training in novel technologies and methods in the Tijuana Institute of Technology. This contribution is in order to optimize and scale-up the production process of a new generation of solar cells.



中文翻译:

一种用于染料敏化太阳能电池研发的智能制造设计方法

第三代光伏 (PV) 放大过程的研发 (R&D) 可以受益于与工业物联网相关的新兴趋势和技术。然而,要将小型实验室光伏产品迁移到更大版本的工业规模,需要一个处理平台来设计、制造和测试生产线。本文在简要介绍了薄膜光伏,特别是染料敏化太阳能电池的生产过程后,将工业互联网参考架构(IIRA)应用于薄膜光伏生产的研发场景,在以同步和管理由真实、虚拟或混合生产设备和流程生成的大量数据。这项研究的结果表明,未来实施 IIRA 是蒂华纳理工学院多学科合作、新技术和方法研究培训的学习工厂环境中的可靠选择。这一贡献是为了优化和扩大新一代太阳能电池的生产工艺。

更新日期:2021-06-07
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