| D1P001: Name of the project | |
| D1P001: Name of the project | FLEdge |
| D1P002: Project assigned code | |
| D1P002: Project assigned code | F-DUT-2022-0337 |
| D1P003: Start date | |
| D1P003: Start date | 01/24 |
| D1P004: End date | |
| D1P004: End date | 12/26 |
| D1P005: Ongoing project | |
| D1P005: Ongoing project | Yes |
| D1P006: Funding programme/financing model | |
| FP7/H2020/HEU/DUT | no |
| Interreg | no |
| National funding | no |
| Public-Private Partnership - please specify | no |
| Other | yes |
| D1P006: Other | DUT Partnership |
| D1P007: Estimated project costs (Mill. €) | |
| D1P007: Estimated project costs (Mill. €) | 0.928 |
| D1P008: Description of project objectives/concepts | |
| D1P008: Description of project objectives/concepts | The energy landscape of cities is in a perpetual state of flux, requiring adaptable systems to meet dynamic and shifting demands. Therefore, the energy system needs to be flexible and adaptable to optimise energy resources. The FLEdge project aims to develop an automatic and decentralised energy management system for buildings, ultimately transforming the system at neighbourhood, district and city level. FLEdge will be based on an Edge Energy Management (EEM) device that will process information collected from buildings and make decisions to optimise energy sources such as renewable energy use, load shifting, dimming, pre- heating and pre-cooling. Through its innovative Energy Management Node (EMaN), FLEdge’s system will improve the energy performance of buildings, neighbourhoods, districts and cities towards Positive Energy Districts (PEDs). |
| D1P009: Description of project upscaling strategies/potential | |
| D1P009: Description of project upscaling strategies/potential | The FLEdge project adopts a comprehensive methodology for upscaling, replicating, and adapting its solutions and strategies to diverse social, geographical, and economic contexts. This approach is designed to ensure that the innovative energy flexibility solutions developed within the project can be effectively implemented in various settings, maximizing their impact and sustainability. The following key strategies outline the project's upscaling methodology: Lighthouse and Replicator City Framework: FLEdge will identify and collaborate with "Lighthouse cities" that serve as demonstration sites for the innovative energy management solutions. These cities will showcase best practices, technologies, and methodologies, providing valuable insights and lessons learned. The project will also engage "Replicator cities" that aim to adopt and adapt these solutions in their own contexts, facilitating knowledge transfer and fostering a network of cities committed to energy flexibility. Living Labs: The project will utilize Living Labs as experimental environments where stakeholders, including residents, local authorities, and industry partners, can co-create, test, and refine energy flexibility solutions. These labs will provide real-world settings for piloting technologies and strategies, allowing for iterative feedback and adaptation based on local needs and conditions. Stakeholder Engagement and Co-Creation: FLEdge emphasizes active stakeholder engagement throughout the project lifecycle. By involving local communities, policymakers, energy providers, and other relevant stakeholders in the design and implementation of solutions, the project ensures that the strategies developed are contextually relevant and socially accepted. Co-creation workshops and participatory design processes will be employed to gather input and foster collaboration. Scalability Assessment: The project will conduct thorough assessments of the scalability of its solutions, considering factors such as technical feasibility, economic viability, and social acceptance. This assessment will help identify the conditions necessary for successful replication in different contexts and inform the adaptation of strategies to meet local requirements. Knowledge Transfer and Capacity Building: FLEdge will develop training programs, workshops, and knowledge-sharing platforms to facilitate the transfer of knowledge and best practices among participating cities and stakeholders. Capacity-building initiatives will empower local actors to implement and manage energy flexibility solutions effectively, ensuring long-term sustainability and impact. Adaptation to Local Contexts: Recognizing the diversity of social, geographical, and economic contexts, the project will adopt a flexible approach to solution adaptation. This includes customizing technologies, business models, and operational strategies to align with local energy systems, regulatory frameworks, and community needs. The project will leverage local expertise and resources to enhance the relevance and effectiveness of its solutions. Monitoring and Evaluation: A robust monitoring and evaluation framework will be established to assess the performance and impact of implemented solutions in both Lighthouse and Replicator cities. This framework will provide insights into the effectiveness of strategies, enabling continuous improvement and refinement of approaches based on empirical evidence. Policy Recommendations: FLEdge will engage with policymakers to develop evidence-based policy recommendations that support the scaling and replication of energy flexibility solutions. By aligning project outcomes with policy objectives, the project aims to create an enabling environment for the adoption of innovative strategies across different regions. |
| D1P010: Number of PED case studies in the project | |
| D1P010: Number of PED case studies in the project | 3 |
| D1P011: Case Study | |
| D1P011: Case Study | |
| D1P012: Description of project expected impact | |
| D1P012: Description of project expected impact |
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| D1P013: Standardization efforts | |
| D1P013: Standardization efforts | Standardization in the FLEDGE project plays a critical role in ensuring the proper functioning of technologies and processes related to energy management. This involves defining relevant indicators, targets, and thresholds to ensure compliance with energy performance standards, demand flexibility, and user comfort. The associated functions of these standards include ranking, filtering, awarding, and differentiating energy consumption practices at the building, neighborhood, district, and city levels. Indicators: • Energy Flexibility: Measuring the ability of buildings to adjust their energy consumption in response to demand-response signals. • Renewable Energy Share (RES): The proportion of energy consumed from renewable sources. • Occupant Well-being and Comfort: Metrics such as indoor environmental quality and user satisfaction. Targets: • Energy Efficiency and Optimization: Targets include transforming buildings, neighborhoods, and districts into Positive Energy Districts (PED), optimizing building management systems to automatically adjust based on energy prices, load forecasts, and consumption patterns. • Demand Response Commands: Managing energy flexibility through Edge-Energy Management devices at various levels (building to city), allowing real-time balancing of supply and demand. Thresholds: • Carbon Emissions Reduction: Aiming for a 40% reduction in greenhouse gas emissions in line with EU regulations. • System Performance: Ensuring buildings meet specific energy performance criteria, utilizing minimal interoperability mechanisms (MIMs) to enhance flexibility and connectivity between devices and systems. Standards will be continuously revised as the project progresses to ensure that they remain aligned with evolving technologies and regulatory environments. |
| D1P014: Sources | |
| D1P014: Sources |
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| D1P015: Can you specify a suitable contact person regarding the load-management approach within your PED project? | |
| Name | Prof. Stelios Krinidis, Asimina Dimara, Erasmia Krinidou |
| krinidis@mst.ihu.gr, minadimara@gmail.com, erasmia888@gmail.com | |
| D1P016: Would you be willing to share data from your PED project for research purposes? | |
| D1P016: Would you be willing to share data from your PED project for research purposes? | Yes |
Authors (framework concept)
Beril Alpagut (Demir Energy); Giulia Turci (University of Bologna); Michal Kuzmic (Czech Technical University in Prague); Paolo Civiero (Università Roma Tre); Serena Pagliulia (University of Bologna); Oscar Seco (CIEMAT); Silvia Soutullo (CIEMAT); Daniele Vettorato (EURAC Research, IEA Annex 83); Bailador Ferreras M. Almudena (CIEMAT); Vicky Albert-Seifried (FHG ISE)
Contributors (to the content)
Laura Aelenei (LNEG), Nienke Maas (TNO), Savis Gohari (OsloMet), Andras Reith (ABUD), Ghazal Etminan (AIT), Maria-Beatrice Andreucci (Universita Sapienza), Francesco Reda (VTT, IEA Annex 83), Mari Hukkalainen (VTT), Judith-Borsboom (Locality), Gilda Massa (ENEA), Jelena Ziemele (University of Latvia), Nikola Pokorny (CVUT), Sergio Diaz de Garayo Balsategui (CENER, IEA Annex 83), Matthias Haase (ZHAW, IEA Annex 83), Christoph Gollner (FFG, JPI UE), Silvia Bossi (ENEA, JPI UE), Christian Winzer (Zurich University of Applied Science), George Martinopoulos (Centre for Research and Technology Hellas), Maria Nuria Sánchez (CIEMAT), Angelina Tomova (Energy Agency of Plovdiv), Oya Tabanoglu (Demir Enerji), Jelena Brajković (University of Belgrade), Juveria Shah (Dalarna University), Michela Pirro (ENEA), Francesca Sabatini (University of Bologna)
Implemented by
Boutik.pt: Filipe Martins, Jamal Khan
Marek Suchánek (Czech Technical University in Prague)
