Sustainable Supply of Scandium for the EU Industries from Liquid Iron Chloride Based TiO2 Plants

Scandium (Sc) applications in solid oxygen fuel cells, aeronautics and heat exchange systems are forecasted to increase significantly without a sufficient continuous Sc supply for Europe. ScaVanger is an EU project for upscaling Sc extraction and purification technologies from various TiO2 pigment production residues. High purity Sc2O3 and ScF3 will be produced at competitive prices for the EU market. The ScaVanger process is expected to result in a 10% higher production rate and higher product purity as processing starts with a unique cleaning process of actinides. The first plant at a major European TiO2 pigment production site will be supplying about 30 t/a of Sc2O3.

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Upgrading History: Launch of the EU Project for the Preservation of European Identity

International Affairs ◽

10.21557/iaf.49755779 ◽

2017 ◽

Vol 63 (005) ◽

pp. 214-226

Author(s):

M. Oreshina

Keyword(s):

European Identity ◽

Eu Project ◽

The Eu

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Per- and polyfluoroalkyl substances in serum and associations with food consumption and use of personal care products in the Norwegian biomonitoring study from the EU project EuroMix

Environmental Research ◽

10.1016/j.envres.2021.110795 ◽

2021 ◽

Vol 195 ◽

pp. 110795

Author(s):

E. Thépaut ◽

H.A.A.M. Dirven ◽

L.S. Haug ◽

B. Lindeman ◽

S. Poothong ◽

...

Keyword(s):

Food Consumption ◽

Personal Care Products ◽

Personal Care ◽

Polyfluoroalkyl Substances ◽

Eu Project ◽

The Eu

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Efficient and Consumer-Centered Item Detection and Classification with a Multicamera Network at High Ranges

Sensors ◽

10.3390/s21144818 ◽

2021 ◽

Vol 21 (14) ◽

pp. 4818

Author(s):

Nils Mandischer ◽

Tobias Huhn ◽

Mathias Hüsing ◽

Burkhard Corves

Keyword(s):

Machine Learning ◽

Shop Floor ◽

Unsupervised Segmentation ◽

User Friendliness ◽

Industrial Environment ◽

Machine Learning Methods ◽

Eu Project ◽

Detection And Localization ◽

Industrial Context ◽

The Eu

In the EU project SHAREWORK, methods are developed that allow humans and robots to collaborate in an industrial environment. One of the major contributions is a framework for task planning coupled with automated item detection and localization. In this work, we present the methods used for detecting and classifying items on the shop floor. Important in the context of SHAREWORK is the user-friendliness of the methodology. Thus, we renounce heavy-learning-based methods in favor of unsupervised segmentation coupled with lenient machine learning methods for classification. Our algorithm is a combination of established methods adjusted for fast and reliable item detection at high ranges of up to eight meters. In this work, we present the full pipeline from calibration, over segmentation to item classification in the industrial context. The pipeline is validated on a shop floor of 40 sqm and with up to nine different items and assemblies, reaching a mean accuracy of 84% at 0.85 Hz.

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China's TiO2 pigment production approaches 600,000 tonnes/y

Focus on Pigments ◽

10.1016/s0969-6210(05)00502-3 ◽

2005 ◽

Vol 2005 (2) ◽

pp. 3-4

Keyword(s):

Pigment Production ◽

Tio2 Pigment

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Deep renovation up to zero energy through Add-ons: the ABRACADABRA Project

IABSE Congress, New York, New York 2019: The Evolving Metropolis ◽

10.2749/newyork.2019.0252 ◽

2019 ◽

Author(s):

Annarita Ferrante ◽

Fabrizio Ungaro ◽

Giovanni Semprini ◽

Lorna Dragonetti ◽

Elettra Agliardi ◽

...

Keyword(s):

Cost Effective ◽

Urban Environments ◽

Zero Energy ◽

Urban Context ◽

Building Stock ◽

Existing Building ◽

The Real Estate ◽

International Projects ◽

Eu Project ◽

The Eu

and international projectsvarious EU H2020 projectsThough housing is one of the most energy consumer sectors, it is currently extremely underestimated, because of a clear investment gap due to economic, social and legislative barriers. The EU project ABRACADABRA (Assistant Building to Retrofit, Adopt, Cure And Develop the Actual Buildings up to zeRo energy, Activating a market for deep renovation) is based on the idea that the real estate value increase given by the appropriate densification strategy in urban environments could be an opportunity to activate a market for deep energy renovation. To prove the effectiveness of the strategy more than 70 case studies throughout the EU cities have been assessed by means of a cost-effective analysis. Basing on the parametric variation of the different values involved (cost of construction, energy, etc.) the benefit of this strategy has been proved in the majority of the different building types and contexts.More interestingly, the ABRA strategy has been simulated and tested outside Europe in order to verify its scalability and the possibility of considering other non-energy related benefits in the renovation of the existing building stock. A specific study on the NYC urban context has been conducted to effectively adapt the strategy and combine the global drivers of energy consumption reduction and CO2 emission reduction with the local need of combating flood emergency and related flood-proofing measures.The results reached by this work demonstrate how the energy retrofit trough add-ons reduces significantly the payback times of the investments, preserve soil consumption, while providing a extraordinary opportunity to enhance urban resiliency by challenging the local emergencies.

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