GAIA Meta-Platform: Enabling Multi-Energy Vectors Data Analysis via IoT Federation
Alessio Viticchié, Felice Cetrone, Christian Camarda, Virginia Vassallo, Leonardo Napoli, Edoardo Patti, Alessandro Aliberti · 2024
Despite of the global environmental crisis with record-high CO2levels, urgent climate action is imperative. The EU's ambitious emission reduction targets and the goal of climate neutrality by 2050 underline the severity of the situation. The Italy case study encounters challenges aligning with these objectives, necessitating significant emission cuts despite advancements in renewable energy and reduced energy consumption. Renewable Energy Communities (RECs) emerge as vital players, focusing on local production, consumption, and management of electrical enerzy. Our research introduces the GAIA federated software meta-platform, addressing the lack of multi-energy vector management by integrating diverse Internet-of-Things (IoT) software infrastructures. It simplifies the development of multi-energy vector services by amalgamating data from federated simple vector IoT infrastructures. GAIA aims to bridge the information gap on resource consumption and interconnections, benefiting RECs citizens and service providers. The platform enhances transparency, facilitating informed decision-making for REC stakeholders and it provides new opportunities and perspectives.