With energy use in buildings accounting for 40% of global emissions, reducing energy demand from building operations is the most cost-effective method to achieve net zero while directly improving the customer’s bottom line. But reducing energy demand must not come at the expense of building performance or comfort, meaning solutions must be able respond to changing and dynamic building conditions.
This solution was sourced in response to one of UKGBC’s past challenges on ‘Linking Building Occupancy to Energy Use’.
Grid Edge has created an energy, carbon and cost saving platform to optimise energy use in commercial buildings and support organisations on their journey to net zero. The solution is built around creating a digital twin of a building that brings together the customers building management system, metering, sensor, and environmental data onto one smart, digital platform. The platform’s algorithms detect inefficient and unusual energy performance with automatic notifications for rapid resolution. Live data, analytics and automated insights rendered in a bespoke 3D Digital Twin allows real-time optimisation of a building’s energy performance to reduce energy and carbon costs by as much as 20%. Hardware installation can be completed in a single visit, with any remaining commissioning done remotely. AI predictions are then made using building & contextual data.
Grid Edge’s technology is provided as Software-as-a-Service, with a monthly fee but no upfront costs. The standard fee is £500-£1250 per month / per site where the system is deployed. Discounts to the monthly fee can be available for those who deploy the technology across multiple sites within their portfolio. Case studies from Grid Edge have shown that a positive return on investment can be achieved within the first 12 months of deployment.
To access a customer’s building data, Grid Edge creates a communication pathway between the Grid Edge Cloud and the customer’s Building Management System (BMS). This communication is facilitated by a Data Gateway, which is designed to integrate with TREND, Schneider Electric, Johnson Controls, Siemens, and other common BMS. It can also integrate with existing sub-metering and sensor systems, as well as integrate third-party data feeds requested by the customer. The hardware costs are included within the fixed SaaS fee – so no additional costs are incurred.
Kent County Council’s Energy and Estates team has been working with Grid Edge to support their ambition to create a resilient and smart energy system. In Invicta House Grid Edge integrated solar power generation data with the buildings energy profile and created a digital twin and predictive model. The system discovered the HVAC system was running sub-optimally and there was inefficient out-of-hours consumption. A new HVAC strategy was deployed along with targeted energy strategies and energy demand management at peak solar levels, which all resulted in approximately 60% energy savings and an annualised cost saving of c.£30k. The return on investment was achieved within 12 months.