Scheduling jobs with fixed start and end times
Discrete Applied Mathematics
A Comparison of Annealing Techniques for Academic Course Scheduling
PATAT '97 Selected papers from the Second International Conference on Practice and Theory of Automated Timetabling II
A Comprehensive Course Timetabling and Student Scheduling System at the University of Waterloo
PATAT '00 Selected papers from the Third International Conference on Practice and Theory of Automated Timetabling III
A MAX-MIN Ant System for the University Course Timetabling Problem
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
A survey on wavelet applications in data mining
ACM SIGKDD Explorations Newsletter
Multiple fuzzy model-based temperature predictive control for HVAC systems
Information Sciences: an International Journal
No "power" struggles: coordinated multi-level power management for the data center
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Design and implementation of a high-fidelity AC metering network
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
RACNet: a high-fidelity data center sensing network
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Experiences with a high-fidelity wireless building energy auditing network
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Modeling and solution of a complex university course timetabling problem
PATAT'06 Proceedings of the 6th international conference on Practice and theory of automated timetabling VI
Energy efficient building environment control strategies using real-time occupancy measurements
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Towards a zero-configuration wireless sensor network architecture for smart buildings
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
iSense: a wireless sensor network based conference room management system
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Energy-aware routing in data center network
Proceedings of the first ACM SIGCOMM workshop on Green networking
sMAP: a simple measurement and actuation profile for physical information
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
The smart thermostat: using occupancy sensors to save energy in homes
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Occupancy-driven energy management for smart building automation
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Using simple light sensors to achieve smart daylight harvesting
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Fundamentals of Wavelets: Theory, Algorithms, and Applications
Fundamentals of Wavelets: Theory, Algorithms, and Applications
GreenTE: Power-aware traffic engineering
ICNP '10 Proceedings of the The 18th IEEE International Conference on Network Protocols
The hitchhiker's guide to successful residential sensing deployments
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Thermovote: participatory sensing for efficient building HVAC conditioning
BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
EarlyOff: using house cooling rates to save energy
BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Hi-index | 0.00 |
We are in an age where people are paying increasing attention to energy conservation around the world. The heating and air-conditioning systems of buildings introduce one of the largest chunks of energy expenses. In this article, we make a key observation that after a meeting or a class ends in a room, the indoor temperature will not immediately increase to the outdoor temperature. We call this phenomenon thermal inertia. Thus, if we arrange subsequent meetings in the same room rather than in a room that has not been used for some time, we can take advantage of such undissipated cool or heated air and conserve energy. Though many existing energy conservation solutions for buildings can intelligently turn off facilities when people are absent, we believe that understanding thermal inertia can lead system designs to go beyond on-and-off-based solutions to a wider realm. We propose a framework for exploring thermal inertia in room management. Our framework contains two components. (1) The energy-temperature correlation model captures the relation between indoor temperature change and energy consumption. (2) The energy-aware scheduling algorithms: given information for the relation between energy and temperature change, energy-aware scheduling algorithms arrange meetings not only based on common restrictions, such as meeting time and room capacity requirement, but also energy consumptions. We identify the interface between these components so further works towards same on direction can make efforts on individual components. We develop a system to verify our framework. First, it has a wireless sensor network to collect indoor, outdoor temperature and electricity expenses of the heating or air-conditioning devices. Second, we build an energy-temperature correlation model for the energy expenses and the corresponding room temperature. Third, we develop room scheduling algorithms. In detail, we first extend the current sensor hardware so that it can record the electricity expenses in re-heating or re-cooling a room. As the sensor network needs to work unattendedly, we develop a hardware board for long-range communications so that the Imote2 can send data to a remote server without a computer relay close by. An efficient two-tiered sensor network is developed with our extended Imote2 and TelosB sensors. We apply laws of thermodynamics and build a correlation model of the energy needed to re-cool a room to a target temperature. Such model requires parameter calibration and uses the data collected from the sensor network for model refinement. Armed with the energy-temperature correlation model, we develop an optimal algorithm for a specified case, and we further develop two fast heuristics for different practical scenarios. Our demo system is validated with real deployment of a sensor network for data collection and thermodynamics model calibration. We conduct a comprehensive evaluation with synthetic room and meeting configurations, as well as real class schedules and classroom topologies of The Hong Kong Polytechnic University, academic calendar year of Spring 2011. We observe 20% energy savings as compared with the current schedules.