Let’s talk about those behind the work of DR-RISE.
DR-RISE is a multidisciplinary project that will exploit the experience of the consortium partners in the technical-economic, social and systemic fields. To kick things off, we are glad to introduce to you the team coordinating the project!
Alejandro Trujillo Quevedo is the primary coordinator of the project; driven by a passion for applying technology to real-world problems and a keen interest in renewable energy, he strives to transform demand response concepts into tangible solutions.
Upon graduating in Electronics, Robotics and Mechatronics Engineering from the University of Seville, his professional journey led him to IDENER. Early on, Alejandro became involved in projects that required expertise in modelling, control, optimisation, and AI applications within renewableenergy. This once-unfamiliar territory quickly became his passion, prompting him to delve deeper into the field.
Near the end of his Master’s degree, Alejandro began contributing to European Projects, assisting in proposal preparations. This experience fostered both the knowledge and confidence to create his own proposal, thus birthing the DR-RISE project.
Beyond coordination and management, he is actively involved in the technical development of the tools and services integral to the DR-RISE solution. From optimisation to forecasting and from the deployment of the solution in the Living Labs to its techno-economical assessment, he is hands-on in every aspect.
When not immersed in project timelines, Alejandro escapes to the trails for peaceful hikes, where nature’s beauty fuels his inspiration. At home, his piano keys echo a rhythm of tranquillity, while learning new languages expands his cultural horizons.
Alejandro firmly believes in the diversity of skills within our team and the potential to make an impact together in demand response.
Axel Bruck supports project coordination and management and will be highly involved in “DR-RISE Smart Nodes and Grid Integration” and “Multi-scale forecasting”. He will develop the heuristic optimisation module of the aggregator node and work on forecasting renewable energy generation, electricity prices and user participation in demand response by applying state-of-the-art machine learning techniques. Axel has a background in sustainable energy systems from Stockholm Royal Institute of Technology (KTH) and Polytechnical University of Catalunya (UPC) within the European Institute of Technology Master School “Innoenergy”. Furthermore, he is finishing his PhD in energy engineering at the Technical University of Vienna (TUW) as part of the Smart-BEEjS Marie Skłodowska-Curie Actions fellowship. In his free time, Axel likes to get away from the screen and connect with nature through surfing, freediving and hiking. Furthermore, Axel is passionate about street photography.