Nabladot, S.L.

nablaDot S.L. is a Spanish engineering and R&D SME specialised in digital twins, advanced numerical modelling, forecasting and optimisation technologies for renewable energy and industrial applications.

The company develops digital solutions combining physics-based models, Computational Fluid Dynamics (CFD), reduced-order and surrogate models, data analytics and machine learning. These capabilities enable the transformation of detailed engineering models into computationally efficient digital twins for real-time monitoring, prediction, optimisation and decision support.

For the renewable energy sector, nablaDot develops tools for real-time wind assessment and prediction, including the calculation of local wind conditions and wind fields to support energy generation forecasting and operational decision-making. The company also develops solar PV generation forecasting models, combining meteorological information, plant characteristics and operational data to predict renewable electricity production.

nablaDot has extensive experience in CFD and multiphysics modelling for the design and optimisation of industrial equipment, with particular expertise in technologies associated with hydrogen transport, storage and utilisation. Its modelling capabilities can support the design and assessment of pipelines, storage systems, heat exchangers, burners, furnaces, preheaters and other equipment operating with hydrogen or hydrogen-containing mixtures, addressing fluid dynamics, heat transfer, combustion, pressure losses, thermal performance and operational optimisation.

By combining high-fidelity simulation with fast surrogate models and digital twins, nablaDot can support renewable-energy companies throughout the technology lifecycle, from equipment design and virtual testing to forecasting, real-time operation and optimisation.

nablaDot is interested in establishing collaborations with wind and renewable energy developers, equipment manufacturers, technology providers, engineering companies and research organisations seeking advanced modelling, forecasting, digital twin and hydrogen engineering capabilities.