Nabladot has more than 20 years of experience developing simulation-based solutions for a wide range of sectors, including energy, water, and manufacturing. At Nabladot, we provide a comprehensive range of digital solutions for designing and operating equipment and processes, from advanced simulations to digital twins. Our approach is innovative, and we actively participate in various R&D projects at both national and European levels. We have significant experience in developing digital twins for processes across various sectors, including energy, wastewater treatment, gas cleaning, and air quality. These tools improve decision-making, support operators' training, reduce operating costs, and increase process efficiency. We collaborate with manufacturing companies to create digital twins that can be integrated as a service for their equipment. Additionally, we partner with organizations that manage processes, developing digital twins to enhance their management optimization. We seek to connect with organizations interested in adopting digital tools for their processes, whether for direct implementation or the joint development of new solutions..
Dr. Antonio Gómez is R&D Manager at nablaDot, a Spanish technology-based SME specialised in advanced numerical modelling, reduced-order models and digital twins for energy and industrial applications.
He holds a PhD in Fluid Mechanics and a degree in Chemical Engineering from the University of Zaragoza. Before joining nablaDot full-time, he developed his research career in Computational Fluid Dynamics (CFD), energy systems and renewable energy at the University of Zaragoza. His PhD thesis focused on renewable energy and energy scenarios and received the Extraordinary Doctorate Award from the University of Zaragoza.
At nablaDot, Antonio leads R&D activities and the development of collaborative innovation projects, connecting advanced scientific modelling with practical industrial applications. His work focuses particularly on the use of CFD, physics-based modelling, reduced-order models, artificial intelligence and digital twins to support the design, optimisation and operation of energy and industrial systems.
His current interests include industrial decarbonisation, hydrogen technologies, thermal processes and heat-transfer equipment, renewable energy, energy efficiency and the development of fast physics-based models for real-time applications.
Antonio has extensive experience participating in national and European R&D projects and collaborating with industrial companies, universities and research organisations. He is particularly interested in establishing new partnerships for collaborative projects related to the energy transition, digitalisation of industrial processes and the integration of advanced modelling and AI into engineering and operational decision-support tools.