SenSync is a machine-learning based solution designed to help hotels understand and control their energy consumption. Thermal comfort will be a priority and reported for all guests' rooms; alarms will notify hotel staff to investigate required rooms when needed. Furthermore, energy costs will be reduced by shifting the demand at peak hours. The system will also adjust temperatures as needed, such as when the rooms are not reserved.
The dashboard extracts data - through manufacturer's API - from smart thermostats, such as Ecobee. Hotel operations can monitor all rooms’ conditions from one place. They will be provided with all data collected, such as temperature, humidity, thermal comfort index, and estimated energy savings.
Cost-saving benefits:
Heating and cooling are the 3d highest operations cost for hotels. Currently, hotels in Canada require more than $2,500 per year for cooling/heating one room. This cost can be significant taking into consideration the age and size of the ...
SenSync is a machine-learning based solution designed to help hotels understand and control their energy consumption. Thermal comfort will be a priority and reported for all guests' rooms; alarms will notify hotel staff to investigate required rooms when needed. Furthermore, energy costs will be reduced by shifting the demand at peak hours. The system will also adjust temperatures as needed, such as when the rooms are not reserved.
The dashboard extracts data - through manufacturer's API - from smart thermostats, such as Ecobee. Hotel operations can monitor all rooms’ conditions from one place. They will be provided with all data collected, such as temperature, humidity, thermal comfort index, and estimated energy savings.
Cost-saving benefits:
Heating and cooling are the 3d highest operations cost for hotels. Currently, hotels in Canada require more than $2,500 per year for cooling/heating one room. This cost can be significant taking into consideration the age and size of the hotel. Our solution will provide a quick win with minimum interruptions or investment.
Based on the thermal dynamic simulation, we estimate that a hotel can save up to 25% of utility costs when heating setpoint temperatures are reduced from 21 °C (70 °F) to 20 °C (68 °F). Additional cost savings are scored by shifting rooms during peak hour by 1 degree. The savings are estimated to be 50 CAD/room.
Machine learning:
The system will track average temperatures in the rooms, this will help understand guests' preferences. In the future, the system will be able to adjust the rooms' temperature based on the guest's previous experience. In addition, default temperatures can be tested in different rooms, similar to A/B testing, to check the impacts of comfort.
Remote controlling:
The system will be able to control multiple thermostats remotely. Therefore, cooling or heating can be turned off in vacant rooms. Overall, having the ability to control setpoints from a centralized location will provide better operations and more savings.
Notification system:
The data will be analyzed to ensure that temperature and humidity are within thermal comfort ranges based on ASHRAE 55, an industry thermal comfort standard. If a room exhibits low thermal comfort levels, the guest can be contacted to inquire about their satisfaction. In addition, the dashboard generates alerts to flag any unusual energy usage.
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Malek Abualhaj
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Malek Abualhaj CEO An sustainability professional with interest in energy efficiency, thermal comfort, and environmental impact. I am addicted to technology.