Occupancy-driven energy management for smart building automation
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Building-level occupancy data to improve ARIMA-based electricity use forecasts
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
NetBem: business equipment energy monitoring through network auditing
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Measuring building occupancy using existing network infrastructure
IGCC '11 Proceedings of the 2011 International Green Computing Conference and Workshops
Estimation of building occupancy levels through environmental signals deconvolution
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
Non-Intrusive Occupancy Monitoring using Smart Meters
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
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Nowadays, control of heating, cooling and ventilation equipment operation is mainly achieved via timers with fixed setback schedules, configured using experience and standard models of space occupancy. Applying generic timing strategies is however rarely optimal. Sensor-based systems offer a solution for dynamic control of equipment operation using real-time space occupancy input, but both deployment time and cost constraints hinder their integration if savings and return on investment are uncertain. This work introduces COPOLAN, a tool that correlates power consumption patterns and computers' VLAN activity. Utilising computers' VLAN activity auditing is key to obtain the power state of employees' computer equipment over time, a prime indicator of employees' presence within a building. At low cost and non-invasively, COPOLAN uncovers misalignment and produces ground for (1) determining opportunities of improving HVAC timing strategies and (2) helping decision making prior to integrating new equipment such as sensor-based systems. COPOLAN has been experimented on within a University department, where misalignment between power consumption and space occupancy patterns have highlighted 10% energy saving opportunities.