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

Data visualization

DestinE - Pilot: Energy in Catalonia

Streamlit UI

/ 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.