Data Story

Winter Weather

Resilience against weather fluctuations with Smart Heating.

Scenario.

The first week of January 2026 delivered one of the coldest snaps in recent years, with external temperatures dropping to -2.3°C on January 5th. This represented a dramatic 5°C drop compared to the same date in 2025, when temperatures measured a relatively mild 2.7°C. For PBSA operators, this kind of weather variation typically triggers anxiety about two competing concerns: keeping residents comfortable while controlling spiralling heating costs.

Traditional heating systems often respond to these temperature extremes with brute force, ramping up output to combat the cold and inadvertently creating overheated spaces. This approach not only sees significant energy spikes and wastes energy but can make rooms uncomfortably warm, leading residents to open windows, creating a vicious cycle of energy waste. The challenge becomes particularly acute in student accommodation, where empty rooms during holiday periods can see heating systems working overtime to maintain temperature in unoccupied spaces.

Resolution.

Despite external temperatures being 5°C colder than the previous year, the Utopi Smart Panel Heaters delivered heat precisely where it was needed. During the winter break—a period of typically low occupancy with many students away—the system maintained average internal temperatures of 17.8°C in 2025 and 16.7°C in 2026 across the property, a difference of just 1.1°C.

Critically, these modest average temperatures during the low-occupancy period demonstrate the system’s intelligence: in occupied rooms where students remained, temperatures were maintained at comfortable optimal levels, while in the numerous vacant rooms throughout the winter break, the system intelligently reduced heating output to avoid wasting energy on empty spaces. This is why the property-wide average appears lower, not due to inadequate heating, but because the system efficiently scaled back in unoccupied areas.

Advanced Temperature Control paired with occupancy sensors and real-time temperature monitoring created a dynamic, responsive heating environment that delivered warmth where students needed it. The granular, room-level insight meant the system could respond to micro-conditions throughout each property. The system worked silently and effectively in the background, proving that sophisticated technology doesn’t need to be complicated for end users.

The Data.

5°C external temperature difference

1.1°C internal temperature variation

Zero comfort complaints

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