DestinE
Pilot: Energy in Catalonia
October 14, 2024
Authors: Míriam Méndez, Gerard Mor
DestinE - Pilot: Energy in Catalonia
Introduction
Challenges in Electricity Supply and Demand in the Catalan region
- Complexity in Balancing Supply and Demand
- Shift from large, controllable power plants to decentralized renewables
- Integration of variable and less predictable energy sources
- Understand which are the exogenous drivers of electricity supply
- EU’s Strategic Moves
- Reducing dependency on Russian gas and fossil fuels
- Meeting strict decarbonization targets
Motivation
/ Introduction
DestinE - Pilot: Energy in Catalonia
Challenges on software implementation over DestinE infrastructure
- Use climate Digital Twin datasets
- Use analytical services already implemented in DestinE
- High Performance Computing (private instances, Dask cluster...)
- Access to DestinE data lake
- Interdisciplinary research: engage with a network of experts
Motivation
/ Introduction
DestinE - Pilot: Energy in Catalonia
- Gather data about electricity consumption and related datasets over the Catalan region.
- Build a data-driven model for predicting the consumption based on exogenous variables (calendar, weather, cadaster, socioeconomic...)
- Provide a user interface to play around with the data and the consumption model.
- Explore and utilise as many of DestinE infrastructure services and datasets as possible.
Objectives
/ Introduction
DestinE - Pilot: Energy in Catalonia
Software Architecture
DestinE - Pilot: Energy in Catalonia
General Diagram
/ Software Architecture
DestinE - Pilot: Energy in Catalonia
Data gathering and harmonisation
DestinE - Pilot: Energy in Catalonia
Electricity consumption data
/ Data gathering and harmonisation
DestinE - Pilot: Energy in Catalonia
Weather data
/ Data gathering and harmonisation
DestinE - Pilot: Energy in Catalonia
Socioeconomic data
/ Data gathering and harmonisation
DestinE - Pilot: Energy in Catalonia
Cadastral data
/ Data gathering and harmonisation
DestinE - Pilot: Energy in Catalonia
Modelling framework
DestinE - Pilot: Energy in Catalonia
Training of the model
/ Modelling framework
DestinE - Pilot: Energy in Catalonia
Training of the model
/ Modelling framework
DestinE - Pilot: Energy in Catalonia
Scenarios prediction
/ Modelling framework
DestinE - Pilot: Energy in Catalonia
Demo
/ Modelling framework
DestinE - Pilot: Energy in Catalonia
Data visualization
DestinE - Pilot: Energy in Catalonia
Streamlit UI
/ Data visualisation
DestinE - Pilot: Energy in Catalonia
Demo
/ Data visualisation
DestinE - Pilot: Energy in Catalonia
Conclusions
DestinE - Pilot: Energy in Catalonia
Pilot implementation in DestinE infrastructure
/ Conclusions
DestinE - Pilot: Energy in Catalonia
- Advantages:
- Access to exclusive long-term and short-term weather forecast at high
resolution for the entire world.
- Freedom to implement all kind of architectures thanks to ISLET service
- DestinE out-of-the-box services to access data and perform analysis.
Pilot implementation in DestinE infrastructure
/ Conclusions
DestinE - Pilot: Energy in Catalonia
- Future work:
- Implementation of a script scheduler in the JupyterHub of STACK
- Provide more examples and updated documentation.
- Improve reliability of actual services.
- Allow boundary-boxes in DT datasets queries.
- Create predefined services related to databases for real-time and batch
data analysis and a UI for results visualisation.
Future work
/ Conclusions
DestinE - Pilot: Energy in Catalonia
- Include energy transition datasets at low geographical granularity:
- Monthly heat pumps installations per municipality: estimation from EPCs open datasets
- Monthly sales of electric cars/bikes per municipality: vehicle registrations from DGT open data
- Include people mobility dataset + actual road infrastructure
- Include touristic establishments dataset.
- Include other energy sources (gas) and emissions factors
- Deploy and evaluate actual service during next months.
- Increase modelling frequency to hourly.
- Extend the analysis to industrial, agriculture and tertiary sectors.
- Extend the analysis to all regions in Spain.
Thanks for your attention
Míriam Méndez and Gerard Mor
contact: gmor@cimne.upc.edu
DestinE - Pilot: Energy in Catalonia
By CIMNE BEE Group
DestinE - Pilot: Energy in Catalonia
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.
