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Building Intelligent Positive Energy Districts

Project description

Transforming digital twins for sustainable cities

In the pursuit of carbon-neutral cities, Positive Energy Districts (PEDs) are important. However, current digital twin models for PEDs fall short in representing crucial aspects like social, economic, and environmental properties. In this context, the EU-funded BIPED project addresses this gap by answering three key questions. Firstly, it refines district profiles in digital twins to guide PED design. Secondly, it harnesses quantitative soft data to advance digital twin development. Finally, it boosts the replication potential of PED solutions for climate-neutral cities, enhancing decision-making. BIPED showcases a simple and efficient solution to overcome barriers, offering a blueprint for scalable and sustainable PEDs across diverse European municipalities.

Objective

Positive clean Energy District’s (PED) are a key building block in the future energy paradigm for carbon-neutral cities and communities. With the rise of modern technology, local digital twins – the digital representations of a functional territory combining low- and high-velocity data with dynamic models – play a significant role in PED development and the scaling of it, supporting decision makers and planners in taking informed decisions towards a sustainable future. However, focusing narrowly on energy and mobility topics confined to the traditional sectors, digital twins for PEDs currently lack representation of significant aspects such as social, economic, and environmental properties, and hence, draw only part of the picture of a district or a city. Limited by data availability and lacking awareness of existing data, this shortcoming in digital twin modelling for PEDs leads to suboptimal decisions, impacting negatively ambitious efforts of sustainable development in cities and communities. This becomes even more clear when reflecting on the scalability issues across the 80.000 municipalities in the EU27: As highly complex entities, cities and communities differ in their physical, social, economic and even cultural structures, making it challenging to replicate PEDs in a trivial way across Europe.
The BIPED project demonstrates how to overcome these barriers in a simple yet highly efficient manner that works everywhere by answering three key questions to push PEDs to the next level: wide deployment.
Three key questions needs to be addressed to push PEDs to the next level:
• How can digital twins be extended to refine a district’s profile representation, guiding PED design and demonstrators?
• How can the quantitative collection of soft data support the advancement in digital twin development?
• How to boost the replication potential of PED solutions for climate neutral cities with reinforced decision-makings

Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-IA - HORIZON Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MISS-2023-CIT-01

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Coordinator

DANMARKS TEKNISKE UNIVERSITET
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 072 500,00
Address
ANKER ENGELUNDS VEJ 101
2800 KONGENS LYNGBY
Denmark

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Region
Danmark Hovedstaden Københavns omegn
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 072 500,00

Participants (12)

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