DYNOSORT
Funded by EIT RawMaterials and EU
Time span
From 01.01.2022 to 31.12.2023
Abbreviation
DYNOSORT
Project type
Innovation transfer
The novel approach for sensor-based sorting of raw materials developed by HZDR/HIF and HZDR/THEIAX will be tested and validated through the joint work of the RIS ESEE-based partners: the innovative manufacturer of sorting equipment COMEX Polska, the Technical University of Kosice, which plays a strategic role in the development of the Slovak RM market, and DIAMO, a state-owned company dealing with the elimination of the consequences of mining activities. The aim is to develop a scalable simulation-based approach that enables the selection of the optimal sensor for sensor-based sorting of raw materials.
As a case study, the project will pre-sort polymetallic material from mining waste dumps in the Příbram region. The tailings from former mining activities in the Příbram mining district (Czech Republic) have a total tonnage of 39 million tons and contain around 380,000 tons of polymetallic ores. In the coming years, the Czech state will invest €148 million from the state budget to eliminate the environmental impact of former mining in the Příbram area by separating some of the high-density material from the siliceous material during the rehabilitation of the spoil heaps by sorting the ore. The latter is used as building material for road construction. The dense fraction contains a significant amount of lead and zinc and considerable quantities of the critical raw materials (CRM) niobium, tantalum, indium, antimony and cobalt as well as silver, which are currently being stockpiled for further treatment.
As part of the DYNOSORT project, representative samples from the high-density non-radioactive fraction will be efficiently analyzed and machine learning-optimized simulations will be created, making it possible to determine the most suitable sensors and sorting equipment for efficient and sustainable separation of the material. The system will be tested in a pilot plant on the COMEX site, where material from two different stockpiles will be processed. Upon completion of the project, the DYNOSORT consortium will apply for an EIT RM upscaling project to validate the scalability of the technology. A preliminary commercialization strategy will be developed to prepare the market launch of a potential project spin-off.
Contact
Kosice University of Technology, Faculty of Mining, Ecology, Process Control and Geotechnologies
Prof. Martin Sisol
+421 55 602 2205
martin.sisol@tuke.sk
Pollutants
Pb
Resources
Zn
Nb
Ta
In
Sb
Ag
Partners

Helmholtz-Institut Freiberg für Ressourcentechnologie

DIAMO state enterprise