Problem Addressed

According to a study conducted by Oxford University, up to 40% of heating energy is wasted in empty rooms. Without room-by-room control, buildings are inefficient, and workspaces can be uncomfortable.

Solution Overview

EcoSync has developed an innovative energy management solution that can adapt the temperature in a room based on changing occupancy levels. Their patented technology aggregates temperature and occupancy data and uses AI optimisation to create a digital footprint of each room. Using their Intelligent Radiator Valve Actuators, EcoSync offers a way to provide flexible room-by-room temperature control for a fraction of the cost of a Building Management System (BMS). These devices can be self-installed and are operational in just a few hours with no planning permissions required. They are installed on the running heating system and use LoRaWAN long-range communication and do not require battery replacements, meaning no wiring is required. A built-in Carbon Meter measures a room’s energy consumption and savings and reporting can be accessed by an online control centre, providing full oversight and individual control of each room in a building. Scheduling options can also be set up to integrate with existing room booking systems. With unique QR codes available in each room, building occupants can even adjust the temperature to their needs. EcoSync can be integrated with modern or historic buildings regardless of whether they have a BMS. EcoSync has already installed more than 6,000 of their devices in more than 100 buildings resulting in 20-50% energy savings.

Case Study

EcoSync partnered with the University of Essex to install 136 of their devices over 4 buildings. Due to the prevalence of hybrid working and changing occupancy patterns, the university found they were often wasting energy by heating empty rooms. EcoSync devices were installed and connected via a single ethernet gateway to record 32 instances of data every 5 minutes, including air temperature, the radiator valve position, and the hot water flow temperature. This data provided an accurate view of how much energy each room in a building was using in real time to establish occupancy patterns. EcoSync’s machine learning models can then predict how much energy is need to heat any given room. The in-room QR codes help to encourage sustainable behaviours with users by showing them how their actions can lower energy use. From February to May 2023, EcoSync saved the University of Essex more than 25,000 KWh of energy, resulting in a 44.4% savings. The university has now committed to installing an additional 1500 devices in their Main Campus by December 2024.

Facts and Figures

100 +
6,000+
20-50 %

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