Inclusive energy transition

COSMIC supports the EU’s Renovation Wave to double renovation rates in the next ten years and to enhance energy and resource efficiency resilience in buildings. Digital twins and simulation-based decision-making will guide investments, financial incentives and regulatory compliance. 

Flood risk mapping for fair insuranceFighting energy poverty in social housingSizing an energy-storage system for on- shore power supplyEnergy sustainability indicators basedon waste separationLeak detection inbiomass district heatingEnergy optimisation anddecarbonisation of wastewatertreatment plantsUrban cooling system using rainwaterSustainable management of a renewable energy communityPredictive maintenance of PV plantsSustainableresidential buildingsTertiary-use buildings (schools)Industrial energy communitiesEfficient usage of heat pumpsRenewable energy communityPrivate housing in multi-family buildings

Pilots are real-world testbeds where Core technologies and AI innovations are combined to develop and validate scalable energy solutions.

Social housing

Image from unsplash.com by Norbert Levajsics

Pilot locations in Spain 

The pilot supports low-income residents in AVRA-managed housing to reduce energy poverty and improve comfort by using AI-driven tools, occupant engagement, and adaptive technologies to manage energy use during extreme weather conditions like heatwaves, droughts and heavy rains. 

Core technologies:

  1. Data Standardisation and Preparation
  2. Big Data Analytics Framework
  3. Energy‑Grid Optimisation Microservices

AI solutions from Third Parties: 

  • Monitoring-diagnostic imagery solutions 

  • Materials resilience models 

  • Materials performance database 

Problem addressed: Energy poverty in low-income households 

Expected outcomes: Improved living conditions and reduced energy poverty, Empowered and better-informed communities

Flooding in Paris

Image from unsplash.com by Dmitrii E.

Pilot locations in Portugal 

The pilot aims to enhance climate resilience in the insurance sector by developing a geospatial risk assessment workflow that enables Fidelidade Group to offer fairer, flood-informed insurance products and coverage for homeowners. 

Core technologies:

  1. Data Standardisation and Preparation
  2. High Performance Computing- based multi-fidelity and physics design of resilient built environment

AI solutions from Third Parties: 

  • Flooding models (sea level) 

  • GIS data enhancement (GeoAI) 

Problem addressed: Growing risk of flood-related property damage due to climate change and the need for accurate, georeferenced risk assessments across the insured household portfolio. 

Expected outcomes: Improved climate risk assessment, Development of tailored, risk-based insurance products 

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