Renewable Energy Integration
The general objective of the group is:
Increase renewable energy penetration in the energy sector with maximum efficiency, reliability and power quality conditions.
To achieve this fundamental objective, i.e., the integration of renewable energies into the energy system, it is necessary to implement new grid architectures and intelligent control, protection, supervision, monitoring and metering systems to achieve efficient energy management while reducing greenhouse gas emissions. This requires not only efficient management of energy generation sources but also efficient management of consumption, definition of the needs of the grid itself for the connection of new systems, processing of the large amount of data associated with each of the elements involved, improvement of the operation and maintenance procedures related to generation facilities, among others.
Research lines
Analysis of the impact of the renewable energies in the grid. The detailed knowledge of the real problems occurring in the grid and current and future solutions is essential to address this topic with a minimum of guarantees.
Research on predictive maintenance techniques applying Machine Learning and Artificial Intelligence methods.
Development of power electronics and controls to be used in islanded and grid connected systems.
Research and development of more efficient generation systems with better power quality characteristics.
Research and development of electric storage systems. Tests and characterization of the electrochemical batteries ageing to look for second life applications.
Development of new electrical measurement systems.
Development of new tools for the design and operating performance characterization of generation systems.
Research on new productive systems using several integrated energy sources.
Development of methodologies for dim.
Development of programmes for optimal sizing and location of the various energy sources and their storage systems in new power grid applications.
Research and development of new protections for the power system.
Research and development of Smarti Grids: fault locators, controllers, mini-generation, etc.
Developed projects
Transición ecológica en zonas rurales (ENSURE). TED2021-131397B-I00 …01/12/2022-31/05/2025. AGENCIA ESTATAL DE INVESTIGACIÓN, UNIÓN EUROPEA. IPs: Javier Uche y Julio Melero.
Diseño óptimo de bobinas inductoras para sistemas de carga de vehículos eléctricos multimodal (MAGNIFICENT). PID2022-141796OB-I00: 01/09/23 - 31/08/27. AGENCIA ESTATAL DE INVESTIGACIÓN, UNION EUROPEA. Ip: José Sanz.
REDOL / Aragon's REgional Hub for circularity: Demonstration Of Local industrial-urban symbiosis initiatives. 01/12/22 - 30/11/26. UNION EUROPEA. Ip: Alicia Valero.
INCIT - EV / Large demonstratIoN of user CentrIc urban and long-range charging solutions to boosT an engaging deployment of Electric Vehicles in Europe. 01/01/20 - 30/06/24. UNION EUROPEA. Ip: José Sanz.
SYNERGY – Big Energy Data Value Creation within SYNergetic enERGY-as-a-service Applications through trusted multi-party data sharing over an AI big data analytics marketplace. 01/01/20 - 01/07/23 UNION EUROPEA. Ip: Julio Melero.
MEAN4SG. METROLOGY EXCELLENCE ACADEMIC NETWORK FOR SMART GRIDS. 01/03/16 - 31/12/19. Unión Europea. Ip: Julio Melero.
ADVANCED WIND ENERGY SYSTEMS OPERATION AND MAINTENANCE EXPERTISE — AWESOME. 01/01/15 - 31/12/18.
Infrastructures
Laboratory for the design and testing of electric vehicle (EV) chargers. It has an EV emulator prepared for fast charging with CHAdeMO and COMBO protocols, as well as a fast charger with the same protocols prepared to connect to a control centre with OCPP. There is also a Mode 3 emulator and a bench for testing inductive chargers in accordance with the SAE J2954 Standard. Finally, a lithium battery bench is available to carry out network impact tests and develop various solutions.
Climatic chamber for testing electrical components and systems in different temperature and humidity conditions.
Big-Data specific computing cluster composed of 8 servers with 2 Xenon CPUs each.
Computing server with 2 GPUs for the development of deep learning models.
Services and technological offer
Climatic chamber for accelerated ageing tests.
Battery ageing tests.
System design for energy transfer by inductive coupling.Advanced simulations of electrical networks to evaluate the behaviour of new loads or generators in the network.
Consultancy in metrology and quality of power supply.
Machine Learning and Artificial Intelligence applications.