Measurement campaigns have shown major discrepancies in buildings energy performance between planned energy demand and real energy consumption, while nowadays most of the newly constructed offices buildings are equipped with BMS systems, integrating a more or less extended measurement layer providing large amounts of data. Their integration in the building management sector offers an improvement capability of 22 % as some studies demonstrate. The HIT2GAP project will develop a new generation of building monitoring and control tools based on advanced data treatment techniques allowing new approaches to assess building energy performance data, getting a better understanding of building’s behaviour and hence a better performance. From a strong research layer on data, HIT2GAP will build on existing measurement and control tools that will be embedded into a new software platform for performance optimization. The solution will be: - Fully modular: able to integrate several types and generations of data treatment modules (different algorithms) and data display solutions, following a plug and play approach - Integrating data mining for knowledge discovery (DMKD) as a core technique for buildings’ behaviour assessment and understanding The HIT2GAP solution will be applied as a novel intelligent layer offering new capability of the existing BMS systems and offering the management stakeholders opportunities for services with a novel added value. Applying the solutions to groups of buildings will also allow to test energy demand vs. local production management modules. This will be tested in various pilot sites across Europe. HIT2GAP work will be realized with a permanent concern about market exploitation of the solutions developed within the project, with specific partnerships about business integration of the tools in the activity of key energy services partners of the consortium.

Building on results of recently (or soon to be) concluded EU projects, FEDECOM aims to enable integrated local energy systems through sector coupling and cross-energy vector integration, increasing RES penetration via optimal utilisation of energy dispatch, storage and conversion assets. FEDECOM pursues the idea of electricity becoming the leading energy carrier, with power grids as the backbone for the decarbonisation of all energy sectors and aggregators as the cornerstone enabler of the potential exploitation. FEDECOM adopts and maximizes the potential synergies of two complementary deployment strategies: (i) direct electrification (e.g. via demand electrification), and (ii) indirect electrification (with power-to-X technology). FEDECOM will deliver a scalable and adaptable cloud-based platform composed of analytical, modelling and optimization services for planning, supervision and control of integrated local energy systems (power, gas, heating and cooling, industry, electric and hydrogen mobility). Optimized operations of the integrated systems will be demonstrated as part of hybrid RES/storage infrastructures, while enabling a holistic cooperative demand response (DR) strategy across federation of energy communities. With a concept of federated energy communities, FEDECOM unlocks the flexibility potential, enable energy exchange, and provide coordinated actions across near and remote sites, while maximizing the positive impact on grid transmission level. FEDECOM’s integrated package will be verified on three real large-scale pilots, each composed of multiple (federated) demo sites (communities): Spanish Virtual Green H2 Federation, Swiss Residential Hydropower Federation and BENElux cross-country e-Mobility Federation. After FEDECOM, local energy communities and service providers will be fully trained and upskilled via dissemination and engagement activities to take full ownership of FEDECOM solution and its business ecosystem.

Artificial-Intelligence-Augmented Cooling System for Small Data Centres “ECO-Qube”; is a holistic management system which aims to enhance energy efficiency and cooling performance by orchestrating both hardware and software components in edge computing applications. ECO-Qube is a data driven approach which utilizes valuable unused data from active data centre components. Created big data is being used by an artificial intelligence augmented system which detects cooling and energy requirements instantaneously. ECO-Qube differentiates from conventional cooling systems which keep operating temperatures within a strict interval and do not evaluate measurable cooling performance. Unmeasured cooling performance leads underperformed airflow, thermal disequilibrium, and high energy consumption. On the contrary, ECO-Qube offers a zonal heat management system which benefits from Computational Fluid Dynamics (CFD) simulations to adapt cooling system for the best airflow and cooling performance with minimum energy consumption. Moreover, ECO-Qube realizes smart workload orchestration to keep the CPUs at their most energy efficient state and maintain the thermal equilibrium to reduce overheating risk. Sustainability is another priority for ECO-Qube’s smart energy management system (EMS), which is designed to track the energy demand and operate the energy supply in cooperation with building/district’s EMS. This synergy maximizes the energy supplied from renewable energy sources and minimizes the energy supplied from sources with big carbon footprint. ECO-Qube solution will be assessed in three different pilots from different climatic conditions to validate energy efficiency under different external variables.

InterPED aims to enable the concept of PEDs via sector coupling, cross-vector integration, demand flexibility and consumer engagement, while improving utilisation of local RES, storage and excess/waste heat (E/WH) sources. InterPED will couple RES, storage and E/WH sources (community assets) available in the pilots with the necessary know-how and ICT expertise to ensure improved operation of PEDs and grid robustness. This will allow InterPED’s end users (aggregators, service providers, urban planners) to deliver benefits to both, grid stakeholders (DSO/TSOs) and final consumers (and prosumers). To do so, InterPED will deliver a scalable and adaptable cloud-based platform composed of analytical, modelling and optimization services for planning, supervision and control of integrated PEDs (including power, heating and cooling, mobility). Optimized PED operations will be demonstrated at pilot sites, while enabling a cooperative demand response (DR) strategy at community/district level. In addition to automated control actions, InterPED intends to engage the consumers via community building (e.g. CECs or RECs), representing a still largely untapped source of flexibility, while enabling them to play an active role in grid balancing. By making it cloud-based and by ensuring system interoperability (both syntactic and semantic), InterPED will enable aggregators and actors positioned to adopt proposed business model (e.g. ESCOs, energy retailers, DSOs) to deploy the InterPED solution immediately almost anywhere, while reducing the cost to its scalability. The key strategy to ensure solutions will work well in an everyday context of consumers, is that InterPED will involve the consumers (community) and service providers in the design of the solutions through participatory co-design processes. InterPED will verify the technical and commercial feasibility of its integrated package in four large-scale pilots, each representing an existing PED.