ENERGY SYSTEMS AND MODELS
The ENERGY MODELS AND HYDROGEN ENGINEERING (ENERyH2) unit specializes in the digitalization, analysis, modeling, and optimization of energy systems across various sectors. This includes aspects related to hydrogen engineering and the development of digital twins that replicate energy systems for optimization, simulation, and analysis. Our focus is on applying advanced tools for energy management in industrial environments, buildings, and new energy paradigms such as energy communities and green hydrogen.
Our mission is to design, develop, and implement digital tools and models for the diagnosis, monitoring, simulation, and optimization of industrial and energy facility performance. We seek innovative solutions to improve performance, efficiency, and sustainability in energy management, including aspects related to decarbonization.
Our main goal is to enhance the competitiveness of production sectors by improving energy management, promoting the integration of renewable energy sources, decarbonization, and the energy transition.
R&D CAPABILITIES IN ENERGY AND HYDROGEN
Energy auditing and data-driven optimization
Evaluation of energy consumption in infrastructures through audits, on-site measurements, and characterization of industrial processes. This includes the collection, analysis, and advanced processing of energy data to identify savings and efficiency opportunities.
Modeling and intelligent control for energy efficiency
Application of AI-based models and control algorithms to predict, optimize, and improve energy performance in industrial facilities, including industrial refrigeration systems.
Digitalization and Energy Management Systems (EMS)
Support in defining requirements and launching EMS. Implementation of digital tools for monitoring and optimizing the performance of energy systems.
3D design and development
Creation and integration of three-dimensional models for the design of industrial processes, incorporating physical simulations and finite element analysis to validate and optimize technical proposals.
Development and deployment of digital tools and control systems
Implementation of advanced energy control solutions in buildings using IoT sensors for real-time consumption monitoring. Integration of EMS for automatic parameter adjustment and system optimization, enhancing efficiency and sustainability through renewable energy hybridization and storage proposals.
Digital twin
We design, implement, and validate digital twins for energy systems to improve efficiency, sustainability, and resilience. From physical modeling to simulation and integration with control systems, our solutions optimize decision-making, operational performance, and environmental impact.
System actuation and control
Implementation of advanced energy control solutions in buildings using IoT sensors for real-time monitoring. Integration of EMS for automatic parameter adjustment and system optimization, enhancing efficiency and sustainability through renewable energy and storage hybridization proposals.
Hydrogen value chain
We address the green hydrogen value chain from production using renewable energy, through compression, storage, and distribution. We study the optimization of hydrogen use in energy and transport networks, contributing to industrial decarbonization and facilitating its integration into sustainable and flexible energy systems.
OUR TEAM
The research group is made up of senior and junior researchers who are continuously seeking innovation in energy management and efficiency systems.
David González
Principal Investigator of the Energy Systems and Models Group
Industrial Technical Engineer, specializing in Mechanics, with experience in energy efficiency. He has conducted energy audits in industrial and service companies in Castilla y León and developed technical documentation for online training. He participated in the European project COOL-SAVE, aimed at reducing energy consumption in industrial refrigeration.
He is a specialist in energy efficiency and collaborates on optimization projects and European R&D&I initiatives.
Javier González
Project Manager for Industrial Refrigeration
He has built his career around modeling industrial systems to improve efficiency and energy management processes, focusing on industrial refrigeration generation technologies. For over 10 years, he has specialized in monitoring, managing, controlling, and optimizing the energy use of machine rooms in leading industrial refrigeration companies.
RESEARCH PROJECTS
PEIVPRO – Virtual Reality Training Modules
Facilitate the integration of students into the professional world by confronting them with real professional situations through the use of virtual immersion.
Duration: 2023 - 2025
Mindtooth – Wearable Device for Brain Signal Decoding
Mindtooth will enable truly "intelligent" and "cooperative" interaction between human actors (e.g., car drivers, airplane pilots, factory workers) and the devices around them through the use of brain signals.
Duration: 2020 - 2022
School of Empathy, a game to combat bulling
ITCL has recently launched a video game that seeks to combat bullying. In this way, the aim is to answer questions such as what to do in a bullying situation or how we can correct this type of situation. A 'serious game' developed from Burgos with the aim of fighting against bullying and that allows the player to acquire responsible behavior to avoid bullying situations in the school environment.
Sofía Vallecorsa CERN: “The role of the private sector in the field of quantum computing is very relevant with an ecosystem of companies that are already looking towards it”
Talking about quantum computing at the European level is talking about CERN European Organization for Nuclear Research. From her laboratories, Sofía Vallecorsa has been working for years on the analysis and potential of quantum computing. From the Franco-Swiss border, Vallecorsa leads the study of the Quantum Technology Initiative, dedicated to investigating the impact of quantum technologies (computing, detection and communication) in the field of High Energy Physics.
ESPADIN- Optimizing Data Spaces in Industry
Collaborative technological impulse dedicated to bringing the sharing and exploitation of the value of data to industrial practice under the paradigm of the denominated shared data spaces, working on the quality, availability and reliability of the data. Industrial research in these three areas will provide lines of work that promote trust and security, fundamental for the progress of the aforementioned paradigm, in terms of solving cross-cutting and strategic challenges of Spanish industry.
Duration: 2022-2024
