Concept

Enabling Positive Energy Districts through Digital Twins

ExPEDite’s approach is to develop and integrate modular components that can be used to analyze and predict a district’s energy performance under various what-if scenarios. These components form a district Digital Twin, enabling not only a visualization of the built environment, but also real time information on energy flows and spatiotemporal optimization of the district’s energy needs. This tool allows for district planning actions to be designed, analyzed and compared, leading to evidence-based decision making.

 

ExPEDite’s vision will be achieved by considering the four components that contribute to PEDs:

  1. Building stock energy efficiency; 

  2. Renewable energy sources (RES); 

  3. Energy flexibility; 

  4. E-mobility & sustainable transport.

In parallel, citizen engagement actions will be promoted through a mobile application aiming at increasing awareness and improving behavior towards energy efficiency through gamification, while also presenting citizens with options on how to engage in the district’s energy transition and providing messaging capabilities for collecting soft data on their views.

A modular open architecture based PED design-time platform and run-time engine with open source core will be developed that supports multi-sectoral (e.g. environmental, societal, economical) and multiorganizational stakeholder requirements, which enables the integration of vast heterogeneous data sources associated with the district’s performance and operation and ensures interoperability of data, systems and services, in alignment with the European Interoperability Framework COM(2017)/134 and contributing towards the standardization of Minimal Interoperability Mechanisms (MIMs) for district digital twins. Various development-pathway scenarios (based on the city’s Sustainable Energy Action Plan) will be analyzed and compared through the Digital Twin, while different levels of abstraction will support the stakeholders’ evidence-based decision making. The developed Digital Twin will be applied to a district in Riga, LV.