Process Analytics Secures the Quality of Green Hydrogen and CO2 Pipeline Management
Proceedings Publication Date
Presenter
Harald Mahler
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Author
Harald Mahler, Frederic Thielland
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Abstract

Global decarbonisation efforts are increasingly focusing on advanced sustainable biofuels. Refineries are migrating to "green" energy and chemical parks and are placing the production processes of fuels on a new bio-based platform. In order to prioritize the supply of green energy and the reduction of CO2, a secure hydrogen supply and an efficient CO2 circular economy need to be guaranteed.

Green and blue hydrogen will increase in coming years and hydrogen transportation through pipeline is a very important topic. Prior to be injected into the pipeline or distributed to the end-user for applications such as mobility (fuel cell), hydrogen must be purified and follow corresponding ISO standards in terms of impurities content.

Also for the development of an efficient future CCS infrastructur and to allow the transport of captured CO2 from emitters to safe storage sites, specific regulations and quality specifications need to be taken into consideration.

Process analytics plays an important role here to efficiently monitor and control the primarily innovative sustainable processes. This increases the plant yields, optimises energy costs and ensures product specifications.

Typical measuring points for process analysers such as process gaschromatographs or tunable diode laser spectroscopy (TDLS) can be found along the entire value chain in CO2 pipelines as well as green hydrogen production processes.

In addition to lifecycle costs, performance criteria such as detection limit, repeatability or response time also play an important role in the selection of suitable process analysers. Further requirements of the plant operator are high availability and easy networking in an overall system.

In recent times there is a trend to analytical system simplification and standardization as the number of plant maintenance personal is being continually reduced.

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