SQ Building – Solving the Trilemma of Comfort, Energy and Operational Costs in Buildings

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Modern office buildings are routinely using up to 3.5 times more energy than expected. This incredible performance gap is mainly due to badly adjusted control settings. Beyond the energy bill, these buildings offer bad thermal comfort and generate a lot of work for management of complaints and manual tweaking of the controls. 3E has developed an Artificial Intelligence based tool to improve comfort & decrease energy, operational costs and CO2 emissions of buildings & building portfolios. Technically speaking, SQ Building is a machine learning technology which predicts the behaviour of a building in function of its characteristics (glazing, orientation, building materials), occupation of the building (people & equipment), and the meteo forecasting. Based on this, SQ Building continuously optimizes the building management. Our clients are the asset, property and facility managers. SQ Building will empower them to finally trade off the trilemma of comfort, energy and operational costs. SQ Building achieves a drastic improvement in thermal comfort, between 15 and 40% reduction of energy costs and a significant reduction of operational effort (less interventions), validated and demonstrated in different real-world pilots since 2015. In 2016, we concluded a strategic collaboration agreement with Sodexo Belgium for whom we run a commercial pilot since February 2017. We have currently contracted 67,000 m² of buildings and have issued offers for more than 1,000,000 m². Commercially, we envision €16 million of revenues over the next five years and accelerated scaling after Year 4. These will generate €50-100 million of savings for our clients through better comfort, energy savings and reduced operational efforts. 3E is an independent technology and consultancy company with €10.3 million of revenues in 2017. Over the past eight years, we successfully commercialized four data-driven software services and created three successful spin-offs with different private investors.