OPTIMINER - Pioneering Sustainable CRM Recovery in European Mining
Abstract
A suite of innovative technologies will be developed, each targeting the enhanced recovery of CRMs. The initiative is expected to include the refinement of acid leaching techniques for the efficient extraction of metals, with an emphasis on minimising environmental impacts. A self-learning ore sorting mechanism using ML/DL algorithms is anticipated to be established to optimise ore recovery. In parallel, the design of an intelligent sensor-based sorting system will aim to provide precise material separation, contributing to waste reduction and energy savings. Bioleaching processes are also to be explored, offering a greener alternative for CRM extraction. The importance of these technologies lies in their potential to secure a sustainable supply of CRMs extraction strategies, essential for efficient technologies and to boost economic resilience by reducing reliance on unpredictable global supply chains. To test and refine these technologies, a lab-scale testing methodology will be developed, along with a modular pilot plant to enable iterative optimisation and scalability.
Project staff
Michaela Preßnig
Mag.Dr. Michaela Preßnig
michaela.pressnig@boku.ac.at
BOKU Project Leader
01.01.2025 - 31.12.2028
Georg Gübitz
Univ.Prof. Dipl.-Ing.Dr.techn. Georg Gübitz
guebitz@boku.ac.at
Tel: +43 1 47654-97001, 97402
Project Staff
01.01.2025 - 31.12.2028
Anastasia Kalampaka
Anastasia Kalampaka MSc.
anastasia.kalampaka@boku.ac.at
Tel: +43 1 47654-97481
Project Staff
01.01.2025 - 31.12.2028
BOKU partners
External partners
Institue of Communication and Computer Systems
Roula Xipolitou
coordinator