REsustain
Problem addressed
Commercial buildings currently represent 23% of built environment carbon emissions in the UK. After construction, commercial real estate lapses into inefficiency within 6 months of commissioning, and there is often inadequate measuring, reporting, and benchmarking. With a changing regulatory landscape, it is important asset owners are able to quickly and efficiently measure and improve on the performance of their assets.
Overview of start-up
REsustain is an AI and Machine Learning solution that delivers significant carbon reductions and cost savings at scale, typically 20-65% ROI. It achieves this by providing a detailed, calibrated Digital Twin of every building. These can be used for accurate and affordable capital expenditure impact analysis and portfolio decarbonisation target modelling. These twins can be created for individual buildings or an entire portfolio of properties. The solution can also be used with virtually any building management system (BMS). Their hardware can integrate with a wide variety of data sources that provide API information including utility meters and can even factor in the weather to provide a comprehensive outlook of a building’s performance and consumption.
What makes the start-up innovative?
The start-up is innovative because it is BMS agnostic and can also use AI and Machine Learning to automate building controls. REsustain delivers market leading CO2e savings through its enhanced building optimisation platform. Troubleshooting and predictive maintenance of the system can be accomplished remotely or on-site depending on the need. By using a digital twin of a building, REsustain is able to benchmark and monitor hypothetical building performance to help make decisions about historic and future projections. With this technology, they can model the effects of adding double glazed windows or installing a new BMS and determine the cost impact of these changes. REsustain can also recommend the solutions that will best achieve a user’s goals either as quickly as possible or help them select the best value solutions. Their capital expenditure modelling tool enables portfolio-wide sustainable investment decisions at the click of a button.
How the start-up has been designed to scale-up quickly
The solution uses very little hardware and is primarily a Software as a Service solution that takes less than a day to install. It is geography and BMS agnostic and both scalable and affordable. This means that whole portfolios can be saving money and CO2 in weeks, not years (with a typical ROI of under 3 months).