Automatisierte Montage großskaliger Wasser-Elektrolyseure: Digitale Montageplanung für eine nachhaltige Wasserstoffwirtschaft auf Grundlage von Produkt, Prozess und Ressource

Adler, Patrick; Syniawa, Daniel; Jakschik, Malte; Christ, Lukas; Hypki, Alfred; Kuhlenkötter, Bernd

doi:10.30844/im_22-5_12-16

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…The efficient assembly of modular electrolysis plants demands streamlined processes and automation [28,45]. To achieve this, an automated system is essential for coordinating personnel, machines, and logistics.…”

Section: Assembly At the Construction Sitementioning

confidence: 99%

HyPLANT100: Industrialization from Assembly to the Construction Site for Gigawatt Electrolysis

Büsch,

Jakschik,

Syniawa

et al. 2024

Hydrogen

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The global push for sustainable energy has heightened the demand for green hydrogen, which is crucial for decarbonizing heavy industry. However, current electrolysis plant capacities are insufficient. This research addresses the challenge through optimizing large-scale electrolysis construction via standardization, modularization, process optimization, and automation. This paper introduces H2Giga, a project for mass-producing electrolyzers, and HyPLANT100, investigating large-scale electrolysis plant structure and construction processes. Modularizing electrolyzers enhances production efficiency and scalability. The integration of AutomationML facilitates seamless information exchange. A digital twin concept enables simulations, optimizations, and error identification before assembly. While construction site automation provides advantages, tasks like connection technologies and handling cables, tubes, and hoses require pre-assembly. This study identifies key tasks suitable for automation and estimating required components. The Enapter Multicore electrolyzer serves as a case study, showcasing robotic technology for tube fittings. In conclusion, this research underscores the significance of standardization, modularization, and automation in boosting the electrolysis production capacity for green hydrogen, contributing to ongoing efforts in decarbonizing the industrial sector and advancing the global energy transition.

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Section: Assembly At the Construction Sitementioning

confidence: 99%

HyPLANT100: Industrialization from Assembly to the Construction Site for Gigawatt Electrolysis

Büsch,

Jakschik,

Syniawa

et al. 2024

Hydrogen

Self Cite

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show abstract

“…Flexible manufacturing processes of multi-variant products in human–robot collaboration are mainly found in small batch production, for example in the production of aircraft interiors [ 6 ]. However, examples can also be found in other application areas, such as the small batch production of hydrogen electrolyzers [ 7 ]. Across application domains, these types of processes require automated progress detection capable of capturing small step process progress in the assembly of multi-variant products.…”

Section: Introductionmentioning

confidence: 99%

Towards Recognition of Human Actions in Collaborative Tasks with Robots: Extending Action Recognition with Tool Recognition Methods

Büsch

Koch

Schoepflin

et al. 2023

Sensors

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This paper presents a novel method for online tool recognition in manual assembly processes. The goal was to develop and implement a method that can be integrated with existing Human Action Recognition (HAR) methods in collaborative tasks. We examined the state-of-the-art for progress detection in manual assembly via HAR-based methods, as well as visual tool-recognition approaches. A novel online tool-recognition pipeline for handheld tools is introduced, utilizing a two-stage approach. First, a Region Of Interest (ROI) was extracted by determining the wrist position using skeletal data. Afterward, this ROI was cropped, and the tool located within this ROI was classified. This pipeline enabled several algorithms for object recognition and demonstrated the generalizability of our approach. An extensive training dataset for tool-recognition purposes is presented, which was evaluated with two image-classification approaches. An offline pipeline evaluation was performed with twelve tool classes. Additionally, various online tests were conducted covering different aspects of this vision application, such as two assembly scenarios, unknown instances of known classes, as well as challenging backgrounds. The introduced pipeline was competitive with other approaches regarding prediction accuracy, robustness, diversity, extendability/flexibility, and online capability.

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Disentangling cultural ecosystem services co-production in urban green spaces through social media reviews

Busch,

Specht,

Inostroza

et al. 2024

Ecosystem Services

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Automatisierte Montage großskaliger Wasser-Elektrolyseure: Digitale Montageplanung für eine nachhaltige Wasserstoffwirtschaft auf Grundlage von Produkt, Prozess und Ressource

Cited by 6 publications

References 5 publications

HyPLANT100: Industrialization from Assembly to the Construction Site for Gigawatt Electrolysis

HyPLANT100: Industrialization from Assembly to the Construction Site for Gigawatt Electrolysis

Towards Recognition of Human Actions in Collaborative Tasks with Robots: Extending Action Recognition with Tool Recognition Methods

Disentangling cultural ecosystem services co-production in urban green spaces through social media reviews

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