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
ERAES R2B – Efficient Solution for Rural Depopulation
ERAES R2B revitalizes rural areas by creating autonomous and sustainable spaces, improving energy efficiency, and promoting local economic development.Advanced methodology for defining the complete preliminary design of ERAES ready to business and demonstrative...
Share4business – How to manage Carsharing fleets efficiently?
Development of a system that allows smart vehicle fleets to be managed and users interact with the service through a mobile application.
Duration: 2018-2019
PROSUMES – Intelligent Optimization of Energy Networks
Development of an integrated and intelligent energy management system, covering everything from measurement to efficient energy management and transactions, which can be implemented locally in neighborhoods, industrial areas, groups, or collectives of buildings, etc., that have renewable energy sources and are interested in engaging in shared self-consumption of this renewable energy generation.
Duration: 2021 - 2022
TEEPP – Research in Innovative Technologies for the Optimization of Energy Efficiency in Production Processes
To achieve the optimization of energy efficiency in companies with high consumption in their production processes through industrial research using innovative technologies to study the energy process of the processes, detect and correct anomalies and replan the production process and its products.
Duration: 2021 - 2022
ALMATIC – Definition and development of algorithms for data analysis platform for MAnTenTenTing, Predictive Quality and health problems.
Research of a data analysis platform on which a Smart Data system will be deployed to process general purpose industry information and on which algorithms based on advanced AI techniques will be studied to identify potential problems in the studied sectors of interest.
Duration: September 2021 - September 2022
