Digital Energy NeighborhoodsCopyright: © EBC
Our vision is the implementation of a stable, decarbonized, and efficient operation of neighborhoods through the integration of information and communication technology.
The integration of digital technologies into energy systems creates new possibilities for efficiency, sustainability, and consumer engagement. At the same time challenges like interoperability, data protection, scalability, and data management emerge with the integration of digital elements. Our team works on the multifaceted challenges and opportunities presented by the convergence of energy systems and digital technologies.
Data accessibility is the cornerstone of successful digital energy neighborhoods, ensuring that vital information flows seamlessly between various components of the energy ecosystem. Cloud platform applications are a key element for us to process, analyze, and transform data into actionable insights.
We develop solutions for diverse use cases that are system- or operation-relevant as well as user-oriented. With our expertise, innovation, and collaborative efforts we shape the future of sustainable and efficient digital energy neighborhoods.
In our research activities, we are addressing the following questions:
How can the end user participate in future energy system?
With our research we envision end user actively participating in the future energy system through digital enabler and IoT platforms. Through the utilization of these digital applications, our aim is to foster trust-based collaboration, facilitate seamless data sharing, and, by analyzing and processing this data, enhance the optimization of energy consumption.
How are we contributing to the optimized energy sharing in energy communities and neighborhoods?
We investigate innovative Local Energy Markets that facilitate the local trading and the decentralized exchange of energy. The goal is to promote sustainability, increase the integration of renewable energy sources, and enhance the overall efficiency of energy distribution within energy communities and neighborhoods. We provide a IoT platform for the trading processes and empower prosumers to actively participate by offering surplus energy or flexible demand. Our research focuses on the development of various market designs including bidding strategies, auctions, negotiations and market clearing rules, as well as diverse pricing mechanisms.
How can we support transparent decision processes? How can we guarantee stable system operation?
In the digitalization of the energy system, a crucial aspect in supporting transparent decision-making processes. This involves exploring strategies and technologies that enhance openness and accountability in decision-making, particularly in the context of managing and distributing renewable energy resources. By leveraging digital tools, the goal is to make the decision processes more accessible and understandable, ensuring that stakeholders can easily comprehend the factors influencing decisions within the energy sector.
How do scalable solutions look to make data accessible? How can we create functional and semantical interoperability of data?
We investigate methodologies and technologies that can be effectively scaled to different levels, ensuring that data is readily accessible to different stakeholders irrespective of the size and scope of the project. Alongside this, there is a significant emphasis on the creation of functional and semantic interoperability of data. This aspect delves into devising strategies and frameworks that not only facilitate seamless integration and exchange of data across diverse systems but also ensure that the data maintains its meaning and functional value across different contexts and applications. This dual approach is vital in advancing the field of data managements.
Which data and which data infrastructure brings which benefit? How to ensure data availability, confidentiality, and security?
A fundamental inquiry revolves around the identification of specific data types and data infrastructures, and the unique benefits they offer. Concurrently, a crucial aspect of this investigation is the establishment of robust strategies to guarantee the availability, confidentiality, and security of data. This dual focus not only emphasizes the significance of selecting the appropriate data and infrastructure but also underscores the importance of implementing effective measures to protect this data against unauthorized access, breaches, and other security threats, while ensuring its accessibility for legitimate use.
Our skillset consists of but is not limited to:
- Digital energy system design
- Fault detection
- Cloud platform
- Edge computing
- Semantics, ontologies
- IoT devices
- IoT middleware
- Classification systems
- Data trustee models
In order to answer our research questions, we use the methods like:
- Dynamic modelling and simulation
- Machine learning
- Field tests