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Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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Near-infrared Product Moisture Sensors - cost-effective and ultra-compact technology for inline Monitoring (Technology Talk)

Authors: Friedl, Sebastian; Brandstetter, Markus; Lauermann, Michael; NEFI New Energy for Industry;

Near-infrared Product Moisture Sensors - cost-effective and ultra-compact technology for inline Monitoring (Technology Talk)

Abstract

On October 12, 2023, the NEFI Technology Talk on Drying Processes in Industry captivated a diverse and engaged audience in a dynamic online event. With over 60 enthusiastic participants, the Technology Talk, moderated by our NEFI expert Veronika Wilk (AIT Austrian Institute of Technology, Center for Energy), delved into the crucial role of drying processes in industrial settings, a sector that significantly contributes to industrial energy consumption. The event featured a diverse range of perspectives from industrial experts, among them: Sebastian Friedl from RECENDT Near-Infrared Product Moisture Sensors: Sebastian Friedl from RECENDT unveiled the NEFI EDDY - Enhanced Drying project, focusing on inline product moisture measurements using near-infrared spectroscopy. This technology offers real-time automated measurements and provides additional insights into product composition, such as protein and fat content.

Keywords

Innovation Network, Energy, Industrial drying processes, NEFI, Climate and Energy Fund, Industry, New Energy for Industry, Research Project EDDY - Enhanced Drying, Model Region, Near-infrared product moisture sensors, NIR-based moisture measurement

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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