Project NameProject CodeStart DateEnd Date
MAKING PEDs - Decision-Making Digital Twins for Climate Neutral PEDs F-DUT-2022-0186 01/2023 01/2026
POSEIDON - Positive Energy Initiatives in Districts for Neutral Mediterranean Cities F-DUT-2022-0340 01/2023 01/2026
RESPED - Enabling Energy Resilience through new energy flexible and affordable PED concepts 01/2025 01/2027
CSP - Cascais Smart Pole 01_Call#4_CascaisSmartPolebyNovaSBE 01/2020 01/2024
PERSIST F-DUT-2022-0064 01/2024 01/2027
HeatCOOP F-DUT-2022-0156 01/2023 01/2026
DigiTwins4PEDs F-DUT-2022-0210 01/2023 01/2026
JUST PEPP F-DUT-2022-0360 01/2023 01/2026
COPPER F-DUT-2022-0352 01/2024 01/2026
CO2PED F-DUT-2022-0327 01/2024 01/2026
FLEdge F-DUT-2022-0337 01/2024 01/2026
OPEN4CEC F-DUT-2022-0070 01/2024 01/2027
PED StepWise F-DUT-2022-0419 01/2023 01/2026
V2G-QUESTS F-DUT-2022-0241 01/2023 01/2026
London/Ontario Living Lab 01/1970 01/1970
ASCEND - Accelerate poSitive Clean ENergy Districts 3251924 01/2023 01/2027
ENERGY4ALL F-DUT-2022-0114 01/2024 01/2026
CULTURAL-E - Climate and cultural-based solutions for Plus Energy Buildings 870072 01/2019 01/2025
LEGOFIT - Adaptable technological solutions based on early design actions for the construction and renovation of Energy Positive Homes 101104058 01/2023 01/2027
InterPED - INTERoperable cloud-based solution for cross-vector planning and management of Positive Energy Districts Grant Agreement number 101138047 01/2024 01/2026
PEDvolution - Interoperable solutions to streamline PED evolution and cross-sectoral integration 101138472 01/2024 01/2026
ATELIER - AmsTErdam BiLbao cItizen drivEn smaRt cities 864374 01/2019 01/2025
BIPED - Building Intelligent Positive Energy Districts 101139060 01/2024 01/2026
NEUTRALPATH - Pathway towards Climate-Neutrality through low risky and fully replicable Positive Clean Energy Districts ID: 101096753 01/2023 01/2027
ExPEDite - Enabling Positive Energy Districts through Digital Twins Grant Agreement No. 101139527 01/2024 01/2026
PED urban - Development of methods and tools for accounting, planning and operation of climate-neutral district 03EN3048A 01/2021 01/2024
PED-ACT - Auto characterization of PEDs for digital references towards iterative process optimisation 43927229 01/2022 01/2025
CIEMAT-CEDER 01/1970 01/1970
STARDUST - Holistic and Integrated Urban Model for Smart Cities ID: 774094 01/2017 01/2024
ZEN - Research Centre on Zero Emission Neighbourhoods in Smart Cities 01/2017 01/2024
RESPONSE - Integrated Solutions for Positive Energy and Resilient Cities ID: 957751 01/2020 01/2025
POCITYF - A POsitive Energy CITY Transformation Framework ID: 864400 01/2019 01/2024
MAKING-CITY - Energy efficient pathway for the city transformation: enabling a positive future ID: 824418 01/2018 01/2023
SPARCS - Sustainable energy Positive & zero cARbon CommunitieS ID: 864242 01/2019 01/2024
Syn.ikia - Sustainable Plus Energy Neighbourhoods ID: 869918 01/2020 01/2024
SmartEnCity - Towards Smart Zero CO2 Cities across Europe ID: 691883 01/2016 01/2022
GRETA - GReen Energy Transition Actions ID:101022317 01/2021 01/2023
D1P001: Name of the project
D1P001: Name of the projectPED-ACT - Auto characterization of PEDs for digital references towards iterative process optimisation
D1P002: Project assigned code
D1P002: Project assigned code43927229
D1P003: Start date
D1P003: Start date10/22
D1P004: End date
D1P004: End date09/25
D1P005: Ongoing project
D1P005: Ongoing projectYes
D1P006: Funding programme/financing model
FP7/H2020/HEU/DUTno
Interregno
National fundingyes
National fundingSwedish Energy Agency
Public-Private Partnership - please specifyno
Otherno
D1P007: Estimated project costs (Mill. €)
D1P007: Estimated project costs (Mill. €)
D1P008: Description of project objectives/concepts
D1P008: Description of project objectives/conceptsPED-ACT extracts the main characterization of PEDs automatically by machine learning approaches, through standardisation of the common database for existing PEDs, by focusing on Sweden, Turkey, and Austria. The digital PED references are then generated, based on a multi-criteria characterization matrix, by auto-matching the development needs/priorities from different stakeholders during bilateral learning and co-design processes among four specific cities (Borlänge, Umea, Karsiyaka-Izmir, Ankara) and a county (Lower Austria). PED-ACT finally evaluates the feasibility of these digital PED references to further develop the replication/upscaling plans, towards ‘climate-neutrality and smart cities’ goals.
D1P009: Description of project upscaling strategies/potential
D1P009: Description of project upscaling strategies/potentialPED-ACT deeply learns a wealth of information from the existing PEDs and then maps the practical needs for PED development in local contexts iteratively. There are 4 main tasks that will be useful: (1) co-development of the PED database, (2) characterization of PED using Artificial Intelligence, (3) development of digital models, (4) Co-creation for matrix of PED evaluation.
D1P010: Number of PED case studies in the project
D1P010: Number of PED case studies in the project5
D1P011: Case Study
D1P011: Case Study
D1P012: Description of project expected impact
D1P012: Description of project expected impact
  • It leads to concrete cooperation from the outset with support of data and involvement of stakeholders. The project results will reinforce decision-making of PEDs and support public administrators/local stakeholders in the new pathways and development.
D1P013: Standardization efforts
D1P013: Standardization efforts
D1P014: Sources
D1P014: Sources
D1P015: Can you specify a suitable contact person regarding the load-management approach within your PED project?
NameXingxing Zhang
Emailxza@du.se
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)