Energy consumption behavior - Datacity

Energy consumption behavior

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How can we gain increased involvement, from users and managers alike, in the goal of optimizing their energy consumption?

The techniques used to control energy demand help to reduce the energy used to power a building or a region, with the aim of saving money and decreasing the size of our carbon footprint. Though these tools may help to study the habits of energy consumption among individual citizens, managers and the users of collective facilities, initial UX feedback demonstrates that both user and manager involvement remains minimal. The approach followed in this challenge is to empower the end user on their energy usage. Consequently, the experimentation lies in demonstrating that a change in end user behavior can lead to a reduction in energy consumption.


  • Experimentation fields

  • Data sets

  • Business Opportunities

  • Results

Field of Experimentation


Paris City Hall, together with certain partnering companies, have access to buildings equipped with sensors. This opportunity for experimentation enables them to implement an approach that mixes instrumentation, modeling and data analysis.


The experimentation fields include :

– Sensors equipped buildings in Paris’ 11th District

– Sports halls equipped with sensors

– Nurseries equipped with sensors

In addition, Nexity, Vinci Energies and Setec all have buildings equipped accordingly
Nexity: company headquarters, rue de Vienne (Paris’ 8th District)

The data sets provided by the partners to pursue the experimentation include

The combined results of a consultation carried out by agents of Paris City Hall in order to identify the steps that would result in a reduction in consumption.

– Data from Cisco, Paris’ 11th District, sports halls, nurseries

– Data on fluids

– Air Quality (for housing covered by Paris Habitat)

– Humidity Levels

– Light Levels

– Movement Detection

– Temperature Levels

– Noise Levels


DataCity partners also have several sectors involving diverse use cases and consumer types. On the one hand, buildings equipped with sensors:


– Paris City Hall

– Paris’ 11th District

– Sports halls

– Nurseries

The changing face of energy consumption and the identification of levers for change are both major issues for cities everywhere.


The micro-local level and precision of the analysis of available data are ideal to carry out the type of experimentation whose methodology could be extrapolated for use in other infrastructure projects.


The solutions found here could possibly be replicated in other contexts and in other cities, possibly in conjunction with the partners of DataCity, Cisco, Nexity, Vinci Energies and Setec.



A bootcamp was organized, leading eGreen to:


– Developing the game mechanics​ (goals, balancing, bonuses, etc.)

– Launching an animated methodology in Suez buildings

– Interfacing with the building technical management

– Gathering consumption data from Suez building​ (water, electricity, heat)

– Developing the GreenPoints module​ on the eGreen platform and on television screens




The eGreen solution was deployed in SUEZ’s Nanterre building for three weeks, with promising results​:


– 7%​ decrease in water consumption

– 42%​ decrease in heating consumption (adjusted for weather contingencies)

– 81% ​of SUEZ employees responding to a post-experiment survey stated that this experiment was useful for reducing the building’s energy and water consumption




eGreen has continued to work with SUEZ to define a commercial service ​and include ​their technology in many of the company’s new contracts​. For SUEZ, it is a great way to offer a new service.

Partner's Experts

Anne Mollet

Sustainable development and strategic marketing Director