C. Liang, Jun Tang, Li Zhang, Feng Zhao, Sirajum Munir, J. Stankovic
{"title":"On Human Behavioral Patterns in Elevator Usages","authors":"C. Liang, Jun Tang, Li Zhang, Feng Zhao, Sirajum Munir, J. Stankovic","doi":"10.1145/2528282.2528314","DOIUrl":"https://doi.org/10.1145/2528282.2528314","url":null,"abstract":"Elevators are the primary method for occupants to move between floors inside modern buildings. Therefore, there have been efforts in minimizing the service delay for a elevator call. Recently, the industry has started to leverage human behavioral patterns in optimizing the elevator dispatching algorithm. However, we argue that it is difficult to judge their gains in the real world, mainly due to the lack of real-world data sets and analysis based on human behavior. We take the first step in studying the human behavioral patterns in the elevator usage. Our analysis is based on real-world traces collected from 12 elevators in an 18-story office building.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125525094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wilhelm Kleiminger, Christian Beckel, T. Staake, S. Santini
{"title":"Occupancy Detection from Electricity Consumption Data","authors":"Wilhelm Kleiminger, Christian Beckel, T. Staake, S. Santini","doi":"10.1145/2528282.2528295","DOIUrl":"https://doi.org/10.1145/2528282.2528295","url":null,"abstract":"Detecting when a household is occupied by its residents is fundamental to enable a number of home automation applications. Current systems for occupancy detection usually require the installation of dedicated sensors, like passive infrared sensors, magnetic reed switches, or cameras. In this paper, we investigate the suitability of digital electricity meters -- which are already available in millions of households worldwide -- to be used as occupancy sensors. To this end, we have collected fine-grained electricity consumption data along with ground-truth occupancy information for 5 households during a period of about 8 months. Our results show that using common classification methods it is possible to achieve occupancy detection accuracies of more than 80%.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126301340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Insert-coin: turning the household into a prepaid billing system","authors":"Andrea Monacchi, W. Elmenreich","doi":"10.1145/2528282.2528309","DOIUrl":"https://doi.org/10.1145/2528282.2528309","url":null,"abstract":"Energy awareness is the ability to perceive the role of energy in daily activities. We combine appliance-level consumption information with prepaid billing so as to turn appliances in pay-as-you-go devices. We expect a greater awareness of energy available and demand to arise from the interaction with such a system. In this paper, we introduce the key principles of pay-as-you-go devices and report about the implementation of this strategy as an energy management system consisting of a cloud-based webservice and a mobile application.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130601951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ThermoSense: Occupancy Thermal Based Sensing for HVAC Control","authors":"Alex Beltran, Varick L. Erickson, Alberto Cerpa","doi":"10.1145/2528282.2528301","DOIUrl":"https://doi.org/10.1145/2528282.2528301","url":null,"abstract":"In order to achieve sustainability, steps must be taken to reduce energy consumption. In particular, heating, cooling, and ventilation systems, which account for 42% of the energy consumed by US buildings in 2010 [8], must be made more efficient. In this paper, we demonstrate ThermoSense, a new system for estimating occupancy. Using this system we are able to condition rooms based on usage. Rather than fully conditioning empty or partially filled spaces, we can control ventilation based on near real-time estimates of occupancy and temperature using conditioning schedules learned from occupant usage patterns. ThermoSense uses a novel multisensor node that utilizes a low-cost, low-power thermal sensor array along with a passive infrared sensor. By using a novel processing pipeline and sensor fusion, we show that our system is able measure occupancy with a RMSE of only ≈0.35 persons. By conditioning spaces based on occupancy, we show that we can save 25% energy annually while maintaining room temperature effectiveness.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115421237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"BuildingDepot 2.0: An Integrated Management System for Building Analysis and Control","authors":"Thomas Weng, A. Nwokafor, Yuvraj Agarwal","doi":"10.1145/2528282.2528285","DOIUrl":"https://doi.org/10.1145/2528282.2528285","url":null,"abstract":"Improving energy efficiency in buildings is a key objective for sensor researchers and promises significant reductions in energy usage across the world. The key technological driver for these gains are the novel sensor network deployments and the large amounts of data that they generate. The challenge however is making sense of this data, and using it effectively to design smarter building control schemes. Several recent research efforts have sought to address the challenge of data access and building control. However, while these systems have made progress in specific areas, many unanswered questions still revolve around data management and what exactly it means to develop building applications. Critically, how would such a solution work in a real building setting and how can applications be written such that they can be re-used in other settings? To resolve these issues we have developed BuildingDepot 2.0, a building management control platform that significantly updates on our first iteration of the system for data analysis and high level supervisory control.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114348330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards a Smart Home Framework","authors":"Muddasser Alam, A. Rogers, S. Ramchurn","doi":"10.1145/2528282.2534159","DOIUrl":"https://doi.org/10.1145/2528282.2534159","url":null,"abstract":"We present our Smart Home Framework (SHF) which simplifies the modelling, prototyping and simulation of smart infrastructure (i.e., smart homes and smart communities). It provides the buildings blocks (e.g., home appliances) that can be extended and assembled together to build a smart infrastructure model to which appropriate AI techniques can be applied. This approach enables rapid modelling where new research initiatives can build on existing work.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126521437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bharathan Balaji, H. Teraoka, Rajesh E. Gupta, Yuvraj Agarwal
{"title":"ZonePAC: Zonal Power Estimation and Control via HVAC Metering and Occupant Feedback","authors":"Bharathan Balaji, H. Teraoka, Rajesh E. Gupta, Yuvraj Agarwal","doi":"10.1145/2528282.2528304","DOIUrl":"https://doi.org/10.1145/2528282.2528304","url":null,"abstract":"Heating Ventillation and Air Conditioning (HVAC) systems account for nearly 40% of primary energy consumption by commercial buildings. Yet, these systems by and large operate in an open-loop with the building occupants. While the monitoring and feedback of comfort conditions is by (much smaller) zones, the HVAC control systems operate on energy metering and monitoring at the scale of entire buildings. ZonePAC attempts to bridge this gap between metering, monitoring and control by providing an embedded sensing and information management architecture that provides for effective participation by the building occupants in zonal HVAC settings that directly affect the building scale HVAC control system. Our results from a deployment of 65 users spread across 51 zones in a 145,000 square feet commercial building demonstrate the viability and effectiveness of ZonePAC.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121293735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Carrying My Environment with Me: A Participatory-sensing Approach to Enhance Thermal Comfort","authors":"Abraham Hang-Yat Lam, Dan Wang","doi":"10.1145/2528282.2528286","DOIUrl":"https://doi.org/10.1145/2528282.2528286","url":null,"abstract":"Commercial building is one of the major energy consumers that has drawn worldwide concerns. Heating, ventilating and air-conditioning (HVAC) system constitutes 40% of the total energy consumption in a typical commercial building. While the main objective of HVAC is to provide occupants with a comfort and safe environment, it currently lacks channels to recognize occupants' favourite temperatures as well as reflect their levels of comfort, e.g., too-cold or too-hot. Hence, it is hard to justify the energy consumption without considering end-user needs. Models of thermal comfort and predicted mean vote have been used to estimate such index, however, they are not widely adopted due to their complexity and inaccuracy. In this paper, we design the innovative system CarryEn, which first captures user's favourite temperature non-intrusively from their daily environment. We connect our system with the building management system (BMS), and optimize the setpoint temperature to occupants with our model. When the user moves into other rooms or buildings, his favourite setting will also be carried with him. Based on our experiments, CarryEn is able to achieve an improvement of 28.2% thermal satisfaction from occupants and save 13% of energy consumption.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123241520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pierre-Jean Meyer, H. Nazarpour, A. Girard, E. Witrant
{"title":"Robust Controlled Invariance for UFAD Regulation","authors":"Pierre-Jean Meyer, H. Nazarpour, A. Girard, E. Witrant","doi":"10.1145/2528282.2528316","DOIUrl":"https://doi.org/10.1145/2528282.2528316","url":null,"abstract":"In this work, we investigate UFAD (UnderFloor Air Distribution) regulation using the notion of Robust Controlled Invariance for monotone systems with bounded disturbances. We establish a 0-dimensional model derived from the energy and mass conservation equations in each room, which is then identified from measurements on a small-scale experiment and used to set a temperature regulation strategy.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122786086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrew Frye, M. Goraczko, Jie Liu, Md Anindya Prodhan, K. Whitehouse
{"title":"Circulo: Saving Energy with Just-In-Time Hot Water Recirculation","authors":"Andrew Frye, M. Goraczko, Jie Liu, Md Anindya Prodhan, K. Whitehouse","doi":"10.1145/2528282.2528287","DOIUrl":"https://doi.org/10.1145/2528282.2528287","url":null,"abstract":"The average home in the US flushes 1000's of gallons of water down the drain each year while standing at the fixture and waiting for hot water. Some households use a pump for hot water recirculation (HWR) to ensure that hot water is always immediately available, but these systems can incur more than $1000 per year in energy costs. In this paper, we explore the hypothesis that \"just-in-time\" HWR can reduce the energy footprint of HWR systems, without increasing hardware or installation costs and without increasing water waste or human annoyance. Our basic approach is to learn patterns of hot water usage in the home and to circulate hot water only when future hot water usage is highly likely. We call this approach Circulo. We evaluate Circulo by analyzing hot water usage patterns from 5 different homes over a period of 7--10 days each. Our results indicate that Circulo can reduce the energy needed for HWR by 30% while still providing households with hot water over 90% of the time.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129689042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}