Our comprehensive system of sensing, prediction, and control will deliver the perfect balance of comfort and energy savings for your building
Smart and Informed: Alsen Sensors, App Data, and AI
Alsen improves building efficiency and comfort by collecting and synthesizing unique operational data to drive smarter control of heating, cooling, and ventilation processes while preserving occupant privacy.
Alsen sensors, apps, and AI find the missing data:
• people per room and throughout the building at all times
• predicted people patterns over time
• current and predicted occupant temperature preferences per room and by occupant profile
• per room thermal models of physical attributes
• HVAC energy consumption by room and occupant
Alsen systems dynamically apply this missing data to more effectively control the existing Building Management System (BMS) yielding lower energy consumption and higher occupant comfort.
Optimized output results in HVAC energy usage decreasing by 30% on average.
Satisfaction with indoor climate increased from 75% dissatisfied to 80% satisfied.
We have wireless, self-powered and easy to install people counting sensors that can determine real-time occupancy in each room.
User Comfort App
Allows people to vote their current thermal comfort, along with data driven models that learn user preference and can anticipate voting patterns if conditions were to change.
Models derived from machine learning can estimate future occupancy and user comfort based on the current state of the building. These can also predict future occupancy and comfort requirements for different time horizons
Combines prediction model output, together with energy pricing and current/forecasted weather to control HVAC system, minimizing energy while satisfying user constraints.
Controls the speed of the AHU fans, the positions of the valves in the economizer, the discharge temperature and temperature set points at the VAV levels and the ventilation levels. In short,utilizes HVAC components to provide the optimal output.