ExpertiseUpdated on 28 January 2026
Site & Digital Twin of a nature Reserve
Head of innovation at UST
Barcelona / Madrid, Spain
About
We own the digital twin of a nature reserve (former quarry) and have access to the physical site for use as a demonstrator. The site studies rainfall, meteorology, groundwater, and distant weather impacts.
The running project showcases our expertise in:
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Edge and swarm computing
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Science-faithful digital twins
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Resilient, adaptive, low-impact sensor networks with energy optimisation
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Overcoming site constraints in connectivity and power
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Disaster-ready local and cloud-linked digital twin mirrors
Our capabilities are portable and site-independent—partners can leverage our methods, software, and digital twin infrastructure with or without using the physical site. Ideal for hydrological modelling, resilient sensing, or disaster-prepared digital twins in any environment.
Similar opportunities
Project cooperation
Resilient Digital Twins & Edge Solutions for Hydrology Monitoring
Daniel Field
Head of innovation at UST
Barcelona / Madrid, Spain
Project cooperation
HORIZON-CL4-2026-01-MAT-PROD-01
Qian Xu
EU Funding Manager at Roboris Srl
Pisa, Italy
Project cooperation
Digital Twin, Advanced Analytics and Model‑Based Optimisation Partner
- General cooperation
- Partner seeks Consortium
- Cluster 4 2026 Call - INDUSTRY
- Cluster 4 2026 Call - INDUSTRY two-stage
- General cooperation - beyond 2026 Industry calls
- CL4 | MAT-PROD-04: Optimise the usage of resources in a circular economy (RIA)
- CL4 | MAT-PROD-12: Technologies for innovative extraction of critical raw materials (RIA)
- CL4 | MAT-PROD-11: Innovative technologies and tools for exploration and data modelling of raw materials (RIA)
- CL4 | MAT-PROD-05: Circular innovative advanced materials: facilitating the transition from design to markets (RIA)
- CL4-two-stage | DIGITAL-EMERGING-51: AI improved advanced manufacturing and production processes in factories (RIA)
- CL4-two-stage | MAT-PROD-21-two-stage: Development of safe and sustainable alternatives to substances of concern (IA)
- CL4-two-stage | DIGITAL-EMERGING-53-two-stage: Innovative AI methods and technologies for the process industries (RIA)
- CL4 | MAT-PROD-31: Efficient capture / purification / utilisation of CO2 for the production of competitive products (RIA)
- CL4 | MAT-PROD-23: Accelerating the discovery and development of chemicals and innovative advanced materials through digitalisation and artificial intelligence (IA)
Irem Simsek
R&D Senior Researcher - Project and Technology Management at Turkish Petroleum Refineries Corporation
Istanbul, Türkiye