"Latest initiative: FLEXI - Artificial intelligence and digital replicas designed with human consideration, aiming to seamlessly integrate energy frameworks for enhanced market adaptability."
New Project Aims to Revolutionize Energy Management with AI and Digital Twin Technology
The FLEXI project, a new initiative in the field of energy management, is set to revolutionize the way we integrate and manage energy systems. Coordinated by Ass.-Prof. Dr. Sashko Ristov at Universität Innsbruck, this European project brings together partners from Austria, Sweden, the Netherlands, Greece, and Turkey.
At its core, FLEXI is focused on human-centered AI and federated digital twin technology. The project aims to advance the integration of AI with digital twin models to simulate and control energy systems, empower flexibility markets, and ensure that the AI applied is human-centered, promoting usability, trust, and practical impact in energy system operations.
The objective of FLEXI is to leverage modern AI techniques combined with a federated digital twin approach to enable efficient, flexible, and dynamic management of energy systems, thus facilitating the clean energy transition by optimizing resource use and grid flexibility.
The project is funded with a total of 2 million euros and is set to begin later this year, running for three years. FLEXI intends to establish a novel Flexibility-as-a-Service business model, allowing resource owners to receive incentives by depositing their energy flexibility in a new market unit - an energy flexibility bank.
Partners in the FLEXI project include FEN Research GmbH, UBITECH, Mälardalen University, Utrecht University, CheckWatt, OSMANGASI ELEKTRIK DAGITIM ANONIM SIRKETI, and Siemens, among others. The University of Innsbruck, Austria, is also contributing to the interdisciplinary focus of the FLEXI project.
The FDT in FLEXI will include user interaction profiles and energy consumption patterns, with the goal of involving citizens in the energy transition using modern generative artificial intelligence (AI). This distributed model ensures a collaborative approach where different stakeholders or systems maintain digital representations, contributing to an integrated energy solution without centralizing sensitive data.
FLEXI fits within broader efforts highlighted at MIT and across energy-focused AI projects, where AI and digital twins are becoming essential tools for improving power grid operation speed and flexibility, reducing emissions, and enabling real-time optimization of energy infrastructure.
In conclusion, FLEXI represents an important research and innovation stride in applying AI and digital twins collaboratively to manage flexible, sustainable energy systems, addressing challenges of variability and complexity in modern energy grids. The project's focus on human-centered AI and its interdisciplinary approach make it a significant contribution to the clean energy transition.
- The FLEXI project, with its focus on human-centered AI and federated digital twin technology, aims to revolutionize the renewable-energy industry by optimizing resource use and grid flexibility.
- The project's Novel Flexibility-as-a-Service business model, funded by finance from various sources, intends to establish an energy flexibility bank that leverages artificial-intelligence to incentivize resource owners for depositing their energy flexibility.
- The FLEXI project, in its pursuit of a human-centered approach, couples AI with digital twin models to facilitate the clean energy transition, thereby contributing to the technology advancements in the energy sector.
