ABSTRACT
Urban energy vulnerability index assessment at the building level is crucial for understanding and addressing climate challenges in cities, particularly in Barcelona. This study, conducted as part of the Climate Ready Barcelona project (funded by ICLEI and Google), focuses on integrating diverse data sources specific to Barcelona, harmonizing them to an ontology framework, and utilizing Graph Neural Networks (GNNs) for data modeling. Data ingestors collect heterogeneous datasets, including cadaster, weather, energy consumption, simulated energy demand, vulnerability surveys, and socio-economic data, which are then harmonized to a standardized ontology, facilitating interoperability and consistency. GNNs are employed to impute gaps and detect anomalies in the data, producing a comprehensive dataset for vulnerability index computation. Key Performance Indicators (KPIs) such as energy consumption, building age, and socio-economic status will assess vulnerability in Barcelona. The results will be accessible via a user interface catering to various roles (citizens, urban planners, administrators), fostering informed decision-making and sustainable urban development in Barcelona.
SPEAKERS CV
Gerard Mor Martinez, Assistant Research Professor at CIMNE, specializes in data analytics, particularly in the context of building and district energy modeling. Since 2012, he has been actively involved in EU, national, and regional-funded projects, leveraging his expertise to analyze and interpret data related to building energy performance and environmental impact. Currently leading the data analytics efforts within the Building Energy and Environment group, he plays a pivotal role in advancing research and innovation in this field, with a focus on addressing climate challenges and promoting sustainable urban development.
Jose Manuel Broto Vispe, a Research Engineer and PhD Student at CIMNE, specializes in big data data pipelines, data ontologies, and user interface implementation for data-driven products. With a background in IT engineering, he brings expertise in these areas to his role as a data engineer in the Climate Ready Barcelona project. His PhD research integrates methodologies from the research line of geospatial data analytics, contributing to enhance the project results.