AI: The Missing Smart Step to Better Buildings
On 9 November 2017, DEXMA Product Director Daniel Utges will be hosting a free webinar on how to scale energy efficiency with AI.
This free online training session is open to all and will include a live walkthrough of the new EnergyGrader platform.
Registration is free, but there are limited places, so book early.
A large and necessary step in achieving the Paris Agreement requires a transition to a highly efficient building stock in terms of real energy performance.
This is perhaps nowhere more true than in Europe, where it is often stated that “all buildings built before 1990 are inefficient” and that up to 75% need renovating in order to reach a higher energy efficiency standard.
Unfortunately, this might prove more difficult than expected. New research from the BPIE shows that although building performance is constantly improving in the EU, only after 2010 was the average building built to an efficient standard (0.49 W/m2 K for the building envelope) in the European Union. That means only 3% of building stock in the EU does actually qualify for the A-label, so 97% (not 75% as typically stated) should therefore be upgraded.
But where to start? And how to motivate building managers to take action?
Using energy bill data as its main input, EnergyGrader is a new, AI-driven platform that helps building operators, owners, facility managers, and even business managers with little to no background in energy efficiency to pinpoint real energy savings opportunities with unprecedented ease and speed. Users can compare personalised energy savings recommendations, according to payback period and ROI, in order to catalyse the process of finding a specific solution that fits their needs and budget.
Even though business managers might be able to visualise their usage on their energy bill, they often don’t take action because they don’t understand the effects that various actions might have on their budget, or perceive energy efficiency interventions as too complex or disruptive. EnergyGrader takes the friction out of energy-efficiency decisions by linking them to real consumption data, and putting them in context for each and every user.