D3.2: Demonstration scenarios for InterPED validation
Creators: name: Osorio García, Andoni
name: López, Ane
Publisher: name: Zenodo
Year: 2024

description: The main objective of the InterPED project is the improvement of Positive Energy Districts (PEDs). PEDs are urban areas that achieve a net zero level of greenhouse gas emissions due to their ability to produce energy through renewable means. InterPED aims to integrate and optimize the use of renewable energy sources, storage and waste heat to improve the efficiency of PEDs. 

For the latter purpose, it is first necessary to know the characteristics of the pilot sites in order to understand their starting point. The activities undertaken in WP3 will be aimed at this first characterisation. Specifically, task 3.3 included in this deliverable will serve to make an initial definition of the demonstration scenarios and use cases to be carried out in each of the pilot sites. In this way, there will be a first picture of the common intentions between the developers of the different services and tools and the pilot sites.

To this end, the document will provide at first a brief technical overview of the pilots, largely based on the content of deliverable D3.1 [3], including the characterisation of these sites as part of task T3.2, which will be approached from a technical point of view for this summary.

The use cases that are intended to be developed in each of the pilots will then be defined in detail:





Lugaritz-Matía Community (Pilot 1): the first use case describes the approach on how to optimize production and energy consumption by working together with the tools (forecasters, cross-vector optimizer, MPCs) to be developed in WP6 (P1-UC1). P1-UC2 will develop the idea that exists in the first instance in WP4 on how to establish a cooperative DR strategy based on end-user interaction and collaboration that influences the way other developments are tackled. Finally, it will describe the long-term planning activities, life cycle assessment and costing and energy saving opportunities that will be developed in WP5 and that will help the pilot to understand an optimal way to design systems and make future upgrades (P1-UC3).




Findhorn Ecovillage (Pilot 2): the first use case will describe the important role of the pilot in WP4, setting out ways to foster citizen participation and community collaboration and how to create shared visions and user stories (P2-UC1). The second use case will list the WP6 services involved, where based on predictions and cross-vector optimisation, operational schemes for heat generation, different storages and EV charging could be realised (P2-UC2). P2-UC3 explains the prerequisites and developments for the development of an open marketplace (developed in WP7) and how it is used to maximise the use of RES and achieve cost savings. Finally, P2-UC4 explains the process of learning how to improve system design and dimensioning using the planning and analysis tools developed in WP5.




Arena Innovation Community (Pilot 3): to obtain optimal flexibility management, peak reduction and maximise self-consumption, P3-UC1 will describe the development and interaction of predictions, MPCs, EV orchestrator and the cross-vector optimizer. The second pilot use case, which will include the WP5 activities and planning developments, will place particular emphasis on energy saving opportunities and waste heat recovery potential (P3-UC2). P3-UC3 contains the idea that is going to be developed in WP4 creating a cooperative DR strategy that involves end users and consumers in the developments. P3-UC4 aims to maximise the RES exploitation in order to satisfy the electricity demand, heating demand and EV charging while efficiently utilising the thermal and electricity storages, improving the community's environmental and economic results and the grid resilience through local energy trading in WP7. 


Alba Iulia College District (Pilot 4): the first use case, P4-UC1, will define the process that attempts to improve self-consumption through optimal asset scheduling (using forecasters and the cross-vector optimizer).  P4-UC2 will condense long-term planning and life cycle costing and analysis tools, which will allow analysing potential savings and improvements. Lastly, the process of interaction and participation of community users within the cooperative DR strategy will be described (P4-UC3).