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- PROJECTS -

Optimise energy consumption

How can buildings with excessive energy consumption be identified on the scale of a portfolio of some one hundred buildings and energy reduction recommendations be made to building managers?

THE CONTEXT


Heating and cooling buildings accounts for the bulk of energy consumption in service sector office buildings. They often use more energy than necessary, due to structural reasons relating to their design and construction, suboptimal operation of their energy systems, and also careless behaviour. This excess consumption impacts on occupants’ energy bills and produces additional greenhouse gas emissions. Optimising energy consumption in service sector buildings therefore presents both an economic and an environmental challenge.

15

buildings analysed

without installing sensors

THE CHALLENGE


Faced with this issue, Engie – via its subsidiaries Climespace, CPCU, ENGIE Lab CRIGEN, and in partnership with the City of Paris, BNP REPM, and its technical partner GRDF – has decided to work with the startup Openergy within the framework of the DataCity program. The solution implemented makes it possible to analyse consumption in service sector buildings, based on a number of criteria including use, building characteristics, and external temperature. The aim is to carry out a comprehensive remote audit and to compare this with sufficiently qualified data to achieve a baseline consumption profile for each building. The tool developed by Openergy allows ENGIE and building managers to identify anomalies and to suggest behavioural and operational changes, thus reducing energy consumption.


THE STARTUP


Openergy is a company specialising in energy efficiency in buildings. Openergy is developing the first SaaS platform dedicated to delivering guaranteed energy efficiencies in buildings.



THE PARTNERS


THE SOLUTION


The solution developed is an online decision support platform. The platform offers two levels of analysis. Firstly, the entire property portfolio can be viewed in order to identify buildings and potential sources of energy savings. At the next level of granularity, it provides targeted building-by-building views with segmented consumption areas, a graph of monthly costs, and the consumption schedule for the site, as well as key recommendations to optimise building performance.



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