ESG / Sustainability Report / 2022 ESG / Sustainability Report / 2022 CATALYST: CONVERSION OF DATA CENTERS INTO ENERGY FLEXIBILITY ENERSHARE - THE EUROPEAN ENERGY DATA SPACE ECOSYSTEMS (9) (11) (7) (9) Energy system digitalization Reduction of the Data Center carbon footprint Energy system digitalization is making a huge quantity of data available, paving the way for cross-value The integration of renewable energy sources and self-consumption, as well as improvements in energy chain services enabled by data sharing, which can contribute to higher efficiency at system level and efficiency, have the potential to significantly reduce the Data Center carbon footprint. However, despite therefore facilitate the energy transition. having been tested in the lab, very few solutions have been successfully exploited in operational Data ENERSHARE, the project developed by a consortium of 30 partners and coordinated by Engineering, Centers, with causes ranging from technological fragmentation to excessive CAPEX and a lack of facilitates data sharing and exchange throughout the energy value chain, ensuring trust and adequate business models.independence, through the creation of a marketplace based on Blockchain and smart contracts. This Digital Sustainability CATALYST aims to identify an adaptable and holistic architectonic framework for Data Center energy innovative Energy Data Space aims to enable the transition of current energy systems towards smarter efficiency. To do this, it intends to create a mechanism that we can define as “follow the energy”, to and more decentralized paradigms, fully exploiting renewable energy sources at local level. favor the consumption of the energy closest to the generation sources and a secure and traceable migration of the IT load between synergistic, but geographically separate, Data Centers, by migrating Results: Data-Driven Reference Architecture for the energy domain - European Energy Data Space - the IT load where reserve energy is available or where heat generation is required.Cross-domain energy services based on artificial intelligence It also calls for defining forecasting processes to boost the resilience and security of the energy supply and new “multi-carrier” market mechanisms (in the form of “Marketplace as a Service”) to support new business models and a unified, secure and traceable trading system for IT and energy (electricity and/or Digital Sustainabilityheat) load migration. Results: Thermal and power flexibility - Energy trading in a multi-commodity marketplace. 84 Engineering © Engineering © 85