Dynamic predictive solution for sustainable water balance management in mining

Project: EU project

Project Details


This upscaling project aims to improve the mining industry’s water balance management capabilities by providing a new dynamic, predictive water balance solution to the market. This solution helps the mining industry monitor an entire mine site’s water balance in real-time. It provides them with a possibility to create short-term forecasts for a site’s water volumes and water quality in different production and environmental conditions.

The project demonstrates that IIoT Framework based, cost-optimized monitoring systems facilitate rapid upscaling of water monitoring networks reliably, securely and cost-efficiently. Therefore, the industry can establish more extensive measurement networks which provide more accurate real-time data on mine site’s water resources.

The solution (technology)
The project’s output is a true end-to-end IoT Application Platform that remotely connects monitoring stations, device management, data collection, data modelling, simulation and visualization and integrates them with cloud services. This IoT application platform enables software-as-a-service and remote service type of business and enables the fastest way to provide water management expertise also for remote mining locations.

SERENE extends the current water balance modelling practices by integrating the dynamic production operations with the hydrological water cycle external to concentrator plants. In addition, it demonstrates that online data can be integrated with the dynamic modelling tools to give a real-time visibility to the entire site’s water balance. Efficient history and status reporting as well predictive scenario calculations that base on the dynamic models enhance operational decision-making and enable better planning of investments and water resource use in mining operations.

Project partners
VTT Technical Research Centre of Finland
Tecnalia Research & Innovation (TRI)
Outokumpu Technology
GreenDelta GmbH
Aalto University
Langis Oy
Balder Consulting AB
Mondo Minerals B.V. Branch Finland

EIT RawMaterials
Effective start/end date1/01/1831/12/19

Collaborative partners

  • VTT Technical Research Centre of Finland (lead)
  • Tecnalia Research & Innovation (TRI) (Project partner)
  • Outokumpu Oyj (Project partner)
  • GreenDelta GmbH (Project partner)
  • Aalto University (Project partner)
  • Langis Oy (Project partner)
  • Balder Consulting AB (Project partner)
  • Mondo Minerals B.V. Branch Finland (Project partner)

Funding category

  • EIT RawMaterials