Occupancy sensors to optimise energy efficiency
Problem Addressed
The built environment is directly responsible for 25% of UK emissions, lifting to 42% if you include surface transport. A large proportion is through operational in-use from: heating, cooling and electricity usage. How can we create smart buildings that could respond in real time to changes in occupancy and air quality to save on energy and create healthy efficient workspaces?
This solution was sourced in response to one of UKGBC’s past challenges on ‘Linking Building Occupancy to Energy Use’.
Case Study
Knight Frank case study: https://ukgbc.org/solutions/case-study-improving-building-efficiencies-with-lightfi-sensors/
LightFi worked on a 10,000 sqm office building in Leicester in 2019 to detect occupancy levels accurately, securely and anonymously, in all variety of spaces, to enable real-time demand-based HVAC control. Only 18 sensors were needed and cabled-in throughout the building. This made the installation quick, cost-effective, and non-disruptive. The LightFi system is saving 2,500 kWh per week on the mechanical load, equivalent to approximately £18,000 annually. Phase 2 of the project (where LightFi will work to allow more granular control of AHU speed for the building) is projected to provide estimated energy savings of £60,000 per year – approximately 22% of the building’s annual HVAC energy bill.
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