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[ACM Press the 2nd ACM Workshop - Zurich, Switzerland (2010.11.02-2010.11.02)] Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building - BuildSys \'10 - Occupancy-driven energy management for smart building automation
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TLDR
In this article, the authors present the design and implementation of a presence sensor platform that can be used for accurate occupancy detection at the level of individual offices, which is low-cost, wireless, and incrementally deployable within existing buildings.Abstract:
Buildings are among the largest consumers of electricity in the US. A significant portion of this energy use in buildings can be attributed to HVAC systems used to maintain comfort for occupants. In most cases these building HVAC systems run on fixed schedules and do not employ any fine grained control based on detailed occupancy information. In this paper we present the design and implementation of a presence sensor platform that can be used for accurate occupancy detection at the level of individual offices. Our presence sensor is low-cost, wireless, and incrementally deployable within existing buildings. Using a pilot deployment of our system across ten offices over a two week period we identify significant opportunities for energy savings due to periods of vacancy. Our energy measurements show that our presence node has an estimated battery lifetime of over five years, while detecting occupancy accurately. Furthermore, using a building simulation framework and the occupancy information from our testbed, we show potential energy savings from 10% to 15% using our system.read more
Citations
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Journal ArticleDOI
Energy intelligent buildings based on user activity: A survey
Tuan Anh Nguyen,Marco Aiello +1 more
TL;DR: A novel survey of prominent international intelligent buildings research efforts with the theme of energy saving and user activity recognition is provided, determining the most valuable activities and behaviours and their impact on energy saving potential for each of the three main subsystems, i.e., HVAC, light, and plug loads.
Journal ArticleDOI
Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models
TL;DR: Interestingly, using only one predictor (temperature) the LDA model was able to estimate the occupancy with accuracies of 85% and 83% in the two testing sets.
Journal ArticleDOI
Coordinating occupant behavior for building energy and comfort management using multi-agent systems
Laura Klein,Jun-young Kwak,Geoffrey Kavulya,Farrokh Jazizadeh,Burcin Becerik-Gerber,Pradeep Varakantham,Milind Tambe +6 more
TL;DR: In this article, a multi-agent comfort and energy system (MACES) is proposed to model alternative management and control of building systems and occupants using multi-objective Markov Decision Problems (MDP).
Proceedings ArticleDOI
Sentinel: occupancy based HVAC actuation using existing WiFi infrastructure within commercial buildings
TL;DR: Sentinel is presented, a system that leverages existing WiFi infrastructure in commercial buildings along with smartphones with WiFi connectivity carried by building occupants to provide fine-grained occupancy based HVAC actuation and is scalable and compatible with legacy building management.
Proceedings Article
OBSERVE: Occupancy-based system for efficient reduction of HVAC energy
TL;DR: This paper shows how real time occupancy data from a wireless sensor network can be used to create occupancy models which in turn can be integrated into building conditioning system for usage based demand control conditioning strategies.
References
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Proceedings ArticleDOI
Instrumenting the world with wireless sensor networks
TL;DR: This work identifies opportunities and challenges for distributed signal processing in networks of these sensing elements and investigates some of the architectural challenges posed by systems that are massively distributed, physically-coupled, wirelessly networked, and energy limited.
Journal ArticleDOI
Energy intelligent buildings based on user activity: A survey
Tuan Anh Nguyen,Marco Aiello +1 more
TL;DR: A novel survey of prominent international intelligent buildings research efforts with the theme of energy saving and user activity recognition is provided, determining the most valuable activities and behaviours and their impact on energy saving potential for each of the three main subsystems, i.e., HVAC, light, and plug loads.
Journal ArticleDOI
Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models
TL;DR: Interestingly, using only one predictor (temperature) the LDA model was able to estimate the occupancy with accuracies of 85% and 83% in the two testing sets.
Journal ArticleDOI
Coordinating occupant behavior for building energy and comfort management using multi-agent systems
Laura Klein,Jun-young Kwak,Geoffrey Kavulya,Farrokh Jazizadeh,Burcin Becerik-Gerber,Pradeep Varakantham,Milind Tambe +6 more
TL;DR: In this article, a multi-agent comfort and energy system (MACES) is proposed to model alternative management and control of building systems and occupants using multi-objective Markov Decision Problems (MDP).
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