聚光太阳能热电厂数字化改造的行动研究

Inga Miadowicz, Daniel Maldonado Quinto, Robert Pitz-Paal, Michael Felderer
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引用次数: 0

摘要

第四次工业革命(I4.0)标志着一个基于数据的新时代的开始,在这个时代,人、机器、产品和设施相互连接,实现智能工厂。然而,在实践中,许多工业设施仍然依赖于传统的自动化金字塔系统基础设施,根据第三次工业革命(I3.0)范式。特别是聚光太阳能热(CST)技术可以从工业4.0的进步中受益,它可以提高效率、灵活性和生产力,同时降低成本。然而,就其基础设施的数字化和自动化而言,该领域仍处于起步阶段。全面的数字化转型方法和集成的技术解决方案战略对于说明当前CST设施如何更新其运营并全面利用工业4.0技术至关重要。为了弥合科学进步、技术进步和实际应用之间的差距,本研究在CST工厂进行了行动研究。目标是根据工业4.0的原则,展示现有设施向网络物理系统的数字化转型。因此,该研究涵盖了I4.0中间件层的整个开发生命周期,该中间件层允许随后将CST工厂改造成棕地场景中的智能工厂。因此,我们从实践中产生理论,并将学习归纳为太阳能系统和类似工业环境的数字化转型蓝图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An action research study on the digital transformation of concentrated solar thermal plants

An action research study on the digital transformation of concentrated solar thermal plants
The fourth industrial revolution (I4.0) marks the beginning of a new data-based age in which people, machines, products, and facilities are interconnected to realize smart factories. However, in practice many industrial facilities still rely on conventional automation pyramid system infrastructures according to the third industrial revolution (I3.0) paradigm. Particularly concentrated solar thermal (CST) technologies can benefit from the advances of I4.0, which can increase efficiency, flexibility, and productivity while reducing costs. However, the domain is still in its infancy with respect to the digitization and automation of its infrastructure. Comprehensive digital transformation approaches and integrated technical solution strategies are essential to illustrate how current CST facilities can update their operations and leverage I4.0 technologies holistically.
To bridge the gap between scientific progress, technological advances, and practical application, this study conducts action research in a CST plant. The goal is to demonstrate the digital transformation of an existing facility into a cyber–physical system according to the principles of I4.0. Thus, the study covers the entire development lifecycle of an I4.0 middleware layer that allows to subsequently retrofit CST plants into smart factories in brownfield scenarios. As a result, we generate theory from practice and generalize the learnings as a blueprint for the digital transformation of solar energy systems and comparable industrial environments.
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