How can radar sensors reduce office energy costs?

Use occupancy evidence to review HVAC and lighting schedules, test operational changes, and verify savings against an energy baseline.

Architectural office model with one warmly lit occupied zone beside two empty zones.

Radar occupancy sensors can help reduce office energy costs by showing when and where people actually use a building. Facilities teams can use that evidence to review heating, cooling and lighting schedules, then test changes in underused areas. The savings come from changing building operations. Installing a sensor, by itself, does not reduce an energy bill.

Start with a specific question: are we running a floor for longer than people need it? A useful answer combines occupancy observations, the equipment serving that floor and measured energy use.

Find the mismatch between occupied hours and operating hours

Look at the first arrivals, the last departures and the gaps in between. Separate recurring patterns from a single quiet afternoon. Check different weekdays, seasonal conditions, cleaning schedules and out-of-hours access before proposing a new schedule.

Density’s Atlas supports building and floor views and custom operating hours. Those views can help a team investigate whether the areas it operates match the areas people use. Keep the observation window visible so a Friday pattern does not become a Monday assumption.

Match the measurement to the building system

A room-level observation is useful only if you understand what equipment can respond to it. A lighting circuit may serve one room; an HVAC zone may serve several rooms and a corridor. Map those boundaries before using room vacancy to change a larger zone.

Density’s workplace sensor guidance distinguishes small-space occupancy from full people counts and entrance measurement. Choose the output for the decision. An occupied-or-empty signal may support a schedule review, while a planning question about demand can require counts.

Confirm the actual integration, response delay and fallback behavior with the building controls team. Do not assume that access to occupancy data includes a working control connection. Ventilation, comfort, equipment protection and approved operating requirements still apply.

Run a measured schedule experiment

Consider a hypothetical office wing whose lights remain on until 9 p.m. Occupancy observations suggest that regular use usually ends earlier. The team checks late users and cleaning requirements, then tests an earlier lighting schedule with an accessible override. This is an illustrative workflow, not a Density customer result.

Record the baseline, the exact change and the test period. Compare metered energy under similar conditions, accounting for attendance, weather and other operating changes where relevant. Track complaints and overrides alongside the energy result. A lower occupied-time rate is evidence about space use; it is not a calculation of kilowatt-hours saved.

Turn the result into an operating decision

Keep a change only when the measured result and the employee experience support it. Document who owns the schedule and when it should be reviewed. Repeat the analysis when team attendance or the layout changes.

Bring Density the spaces and operating question you want to investigate. Book a demo to discuss occupancy coverage, then work with your facilities team to connect that evidence to an energy measurement plan. For the broader planning workflow, read how radar sensors help optimize office space.

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