A Hydrogen Plant Configurator was used to speed up the design

Hydrogen Plant Configurator is the latest intelligent chatbot from Siemens based on generative artificial intelligence technology to help users with the design of hydrogen production plants. The artificial intelligence software is able to create module flow charts based on the specific design requirements required for the production equipment, accurately presenting the layout of the system units and various connections. In addition, AI can predict a number of key factory data, such as power consumption, heat output and important component details. This data enables the user to understand the basic conditions of the plant, which can also be transferred to engineering and simulation software such as Siemens COMOS and gPROMS to automatically create pipe and instrument diagrams.

MRR1-D “Green hydrogen is essential for industrial decarbonisation. In the foreseeable future, there is a broad market demand for green hydrogen and there is an urgent need to increase production.” Axel Lorenz, CEO of Siemens Process Automation, said: “Generative AI can provide support during the critical stages of hydrogen production, resulting in significant time and cost savings. With Hydrogen Plant Configurator, it has never been easier to plan and operate a more sustainable hydrogen production plant, enabling more efficient production.”

Accelerate engineering design with COMOS AI

MRR1-D

Siemens has also introduced an AI tool for the project planning phase of hydrogen plants: COMOS AI Engineering Assistant. This AI tool can create device specifications and diagrams based on natural language descriptions, and automatically complete or correct models and drawings. During cross-domain phases of engineering or cross-product workflows, the assistant can also support simulation software such as Simit from Siemens by transforming models, drawings and information structures. In addition, users can retrieve information from engineered products using COMOS AI, which is able to provide answers about documentation, specifications or technical details. By inputting images, scans or PDF files, it can also proactively provide relevant resources and turn them into accurate charts and models.

MRR1-D Artificial intelligence enables distributed control systems

To simplify the automation of hydrogen plants, Siemens has introduced an innovative module for the Simatic PCS neo distributed control system: SFC Generation. The module is integrated into process control systems and uses generative artificial intelligence to create sequential function diagrams (SFC) that provide a visual representation of process logic and allow users to easily manage complex process flows. This can be done based on specific prompts or by copying a process description into the module’s chat window.