a project to join

nablaDot is an engineering and R&D SME specialised in advanced modelling, digital twins and data-driven tools for the design, monitoring and optimisation of industrial and environmental processes. Our expertise combines computational fluid dynamics (CFD), physics-based modelling, reduced-order and surrogate models, data analytics and real-time integration of operational data.

In the water sector, nablaDot has particular experience modelling and digitalising wastewater treatment and anaerobic digestion processes. Current developments include digital twins for industrial anaerobic reactors treating agro-food wastewater, combining process models, CFD, plant monitoring data and reduced-order models to support performance assessment, optimisation and operational decision-making.

nablaDot can contribute to Water4All projects through advanced process and infrastructure modelling, integration of heterogeneous monitoring data, development of predictive digital twins, virtual sensors, scenario analysis, optimisation and decision-support tools. We are particularly interested in smart and adaptive water infrastructures, integrated monitoring and data management, water resilience and resource-efficient wastewater treatment.

Keywords: Digital twins; advanced modelling & CFD; water/wastewater treatment; data-driven monitoring & optimisation.

Topic 1. Integrated Monitoring and Assessment for Sustainable Water Management
Topic 3. Smart, Secure and Adaptive Water Infrastructures for Sustainable Water Management

By joining a Water4All project, nablaDot aims to strengthen and validate its digital twin and advanced modelling capabilities in the water sector, extending its wastewater treatment experience to broader water management applications. nablaDot is interested in joining projects where advanced modelling and digitalisation can improve the monitoring, resilience, efficiency and adaptive operation of water systems. We are looking to join consortia where water utilities, RTOs, or technology providers can provide real-world use cases, monitoring data, or pilot facilities, while nablaDot contributes the modelling, digital twin, and optimisation layer needed to transform these data into predictive and operational decision-support tools.
The project would enable nablaDot to validate its tools with new real-world datasets, infrastructures and operational scenarios, increasing their technological maturity and transferability. It would also support the development of reusable modelling and decision-support solutions that can be adapted to different water utilities, treatment plants and industrial water systems.
From a business perspective, nablaDot seeks to consolidate its position as a technology provider for digitalisation, predictive modelling and optimisation in the water sector, establish long-term collaborations with utilities, technology providers and research organisations, and create new opportunities for commercial services and future R&D projects at European level.

digital twins, advanced modelling, computational fluid dynamics (cfd), water/wastewater treatment, data-driven management, data-driven optimisation, smart and adaptive water infrastructures, predictive operation, integrated monitoring

-