Big Data Analytics for Energy Efficiency

ISSUE #62 – In this article, Benjamin Mousseau, Director of EDF Lab Singapore, EDF Asian Sustainable Cities Center of Excellence shares with us EDF’s Big Data activities, from smart meters to simulation platforms.

 

What is an example of how Big Data is captured and used by EDF?

At the core of the energy transition is data and EDF will be generating a large amount of data with the rollout of the Linky smart meters (35 Mio of meters by 2020).

This data will allow us to create more precise previsions, increase the reliability of our infrastructure and of course bring new value to our customers. It represents a huge step forward and in fact, in anticipation of the data revolution, EDF Labs started selecting and deploying new data infrastructure (data lakes) a few years ago.

We are now focusing on value creation by looking at new insights potentially brought by data science; this is the very purpose of the Data Innovation Lab launched by EDF Labs, which will help our businesses prototype, test and select the most impactful case uses (in the fields of optimisation, prediction, predictive maintenance, digital marketing, image processing, etc.)

In Singapore, we have a focus on sustainable and smart cities and we have developed a 3D simulation platform dealing with different types of data defining the urban context. The platform integrates all this data (3D, parameters of urban objects, scenario inputs) to run complex simulations and forecast evolutions of Key Performance Indicators (KPI).

We are now focusing on value creation by looking at new insights potentially brought by data science.

Could you share with us some tangible impacts these processes will have on consumers?

The smart meters will enable monitoring of consumption patterns of customers, and we will thus be able to recommend them new ways of reducing their energy consumption, provide them with better information on the impact of their behaviours, propose prices adapted to their needs, and present them with an integrated view of all energy related objects in their environments, from AC to electric vehicles. It will also allow managing of production of decentralised energy, as the consumer becomes more and more a “prosumer”.

On a larger scale, this data is used by EDF to better predict consumption and production levels at various scales, which will allow optimisation and fine-tuning of infrastructure, prices and services. This is also the approach that EDF is following in Singapore, by developing decision support tools for local authorities which enable them to evaluate, right from the planning stage, the impact of initiatives and decisions in the longer run. As part of this approach, EDF is supporting Singapore’s Housing and Development Board (HDB) through complex system simulations that help create dedicated knowledge from multi-field data simulations.

 

The EDF City Platform integrates all the complexity of the city to forecast the impact of sustainable initiatives. (Image: EDF)

 

 

 

EDF Lab Singapore covers sustainable cities modelling and simulation topics, particularly those related to planning and decision-making. The EDF City Platform is a 3D simulation tool that integrates all the urban sectors to quantify the future impact of urban projects.

 

Article by Benjamin Mousseau, Director of EDF Lab Singapore, EDF Asian Sustainable Cities Center of Excellence

 

Article published in the FOCUS Magazine “Driven by Data” – Issue #1 2017