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
Smart Cities and Industry 4.0 Solutions
Smart Cities and Industry 4.0 are transforming urban living by integrating advanced technologies to enhance citizen services. This project explores the feasibility of leveraging Industry 4.0 for the development of intelligent, friendly cities.FEASIBILITY SMARTAGE...
Platform 4.0 based on BIM
Platform 4.0 project uses BIM technology for teal-time building management, enhancing energy efficiency and carbon footprint simulation. Learn about its goals and benefits. Feasibility study of a 4.0 Platform, based on BIM, for the study and simulation of the...
Inspector – Inspection and maintenance in the connected industry
The objective of the project is to investigate various technologies, techniques, tools, methodologies and knowledge aimed at automating and optimizing the management of inspection and maintenance within the framework of the connected industry. This project will facilitate the adoption of Inspection and Maintenance solutions with a high degree of automation, efficiency and competitiveness.
Duration: 2017 - 2021
Take Care of Your Voice – Voice Care App for Professionals
'Take Care of Your Voice' app designed for professionals. This app offers voice exercises, warm-ups, and training to enhance vocal health and performance. Ideal for public speakers and voice professionals. Project Company ITCL has developed the Take Care of Your...
DECISIONES – A System to Optimize Energy Purchasing with Big Data
Design and Development of an Innovative Distributed Control System (SICD) Based on Disruptive Technology: Big Data tools for data collection, artificial intelligence for event prediction and anomaly detection, and Blockchain to maximize data security.
Duration: 2022-2023
