Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings最新文献

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The Energy-Water Nexus in Campuses 校园中的能源-水关系
Jamsheeda Kadengal, S. Thirunavukkarasu, Arunchandar Vasan, V. Sarangan, A. Sivasubramaniam
{"title":"The Energy-Water Nexus in Campuses","authors":"Jamsheeda Kadengal, S. Thirunavukkarasu, Arunchandar Vasan, V. Sarangan, A. Sivasubramaniam","doi":"10.1145/2528282.2528288","DOIUrl":"https://doi.org/10.1145/2528282.2528288","url":null,"abstract":"Water is a critical index of an organization's sustainability. Since water reuse consumes energy, water management requires careful analysis of energy implications. To this end, we study the energy-water nexus in a multi-building campus with a water delivery network that spans multiple grades (such as potable, reclaimed sewage, etc). Using data collected over several months, we answer these questions: (i) What are the trade-offs between the external water footprint of a campus and its internal energy footprint of water? (ii) Are improvements in either footprint realizable in practice? (iii) Does reducing the consumption of one water grade have more impact on the energy consumption than other water grades? (iv) Does rainwater harvesting help reduce a facility's energy footprint? We construct a multi-grade logical flow network with a per-link cost model for energy derived from the measured data. Under the constraint that demands are always met using the existing supplies, we optimize this flow-network for individually minimizing internal energy consumption of water and external water intake. Our study reveals the following: (i) minimizing external water footprint does not correspond to minimizing the internal energy footprint of water; (ii) demand reduction of different water grades impact the energy and water footprints differently; Contrary to intuition, reduction in second grade water demand yields highest reduction in water footprint while reduction in first grade water demand yields higher reduction in energy; (iii) Rainwater harvesting (RWH) can significantly reduce the energy footprint of a campus water network with sewage re-use. Our results show a potential for improving the operating condition of the campus's water network that can reduce the energy consumption by nearly 56 MWh (10.5%) and 99.6 MWh (18%) annually without and with RWH respectively.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"67 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":"124552950","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}
引用次数: 5
the KTH open testbed for smart HVAC control KTH智能暖通空调控制开放式试验台
Giorgio Pattarello, L. Wei, A. Ebadat, B. Wahlberg, K. Johansson
{"title":"the KTH open testbed for smart HVAC control","authors":"Giorgio Pattarello, L. Wei, A. Ebadat, B. Wahlberg, K. Johansson","doi":"10.1145/2528282.2534154","DOIUrl":"https://doi.org/10.1145/2528282.2534154","url":null,"abstract":"To facilitate the assessment of the feasibility, opportunities and weaknesses of advanced Heating, Ventilation and Air Conditioning (HVAC) control schemes we propose the remotely accessible KTH open testbed for smart HVAC control. This testbed allows researchers from all over the world to test estimators and controllers on a real facility, and aims to become a benchmark for the evaluation of the effectiveness of the control schemes proposed in the literature. This demo describes the testbed through a series of videos and Graphical User Interfaces (GUIs), and illustrates the potentialities and limitations of the remotely accessible hardware.","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":"121563788","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}
引用次数: 6
A Distributed Energy Monitoring and Analytics Platform and its Use Cases 分布式能源监测与分析平台及其用例
Neil Klingensmith, Dale Willis, Suman Banerjee
{"title":"A Distributed Energy Monitoring and Analytics Platform and its Use Cases","authors":"Neil Klingensmith, Dale Willis, Suman Banerjee","doi":"10.1145/2528282.2534156","DOIUrl":"https://doi.org/10.1145/2528282.2534156","url":null,"abstract":"We present Emonix, a distributed, low-cost system for monitoring and analyzing energy consumption patterns in buildings. Emonix is designed with our custom energy sensing hardware and integrated communication units to be efficiently mounted in breaker panels of buildings. This approach is considered less intrusive to users in their direct physical space in contrast to plug-based energy outlets and yet provide fine-grained real-time energy data in both space and time. The Emonix hardware platform is open, modular, and extensible. It provides an accessible data and configuration API for users, and we believe it is useful to the broad community.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"35 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":"121606320","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}
引用次数: 14
IAQSense: Indoor Air Quality Enhancement using Participatory-sensing IAQSense:利用参与式传感技术改善室内空气质量
Abraham Hang-Yat Lam, Dan Wang
{"title":"IAQSense: Indoor Air Quality Enhancement using Participatory-sensing","authors":"Abraham Hang-Yat Lam, Dan Wang","doi":"10.1145/2528282.2534153","DOIUrl":"https://doi.org/10.1145/2528282.2534153","url":null,"abstract":"Commercial buildings are the major energy consumers in worldwide. While heating, ventilating and air-conditioning (HVAC) system accounts for 40% of the total energy consumption in a commercial building, the concern of occupants comfort is always prior to energy consumption. However, the operation of building management system (BMS) does not consider occupants' actual perception, and lacks channels for occupants' feedback. Indoor air quality (IAQ) has been vigorous studied in the past decades due to its importance to worker's health and productivity, however, sick building syndrome (SBS) is still commonly found in occupants, where they experience acute health and discomfort after working in buildings for a period of time. Yet, there is currently no conclusive explanation to account for the SBS, thus it is hard to carry out effective measures without tracing the root cause. In this demo, we show our innovative design of IAQSense system. The system aims to enhance the air quality of buildings using participatory sensing approach. By exploiting the sensors data of BMS with occupants feedback, IAQSense helps identify the environmental factors that causing SBS and enhance the air quality of buildings.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"265 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":"116185190","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}
引用次数: 1
Exploiting Generalized Additive Models for Diagnosing Abnormal Energy Use in Buildings 利用广义加性模型诊断建筑能耗异常
J. Ploennigs, Bei Chen, Anika Schumann, N. Brady
{"title":"Exploiting Generalized Additive Models for Diagnosing Abnormal Energy Use in Buildings","authors":"J. Ploennigs, Bei Chen, Anika Schumann, N. Brady","doi":"10.1145/2528282.2528291","DOIUrl":"https://doi.org/10.1145/2528282.2528291","url":null,"abstract":"Buildings consume 40% of the energy in industrialized countries. Thus detecting and diagnosing anomalies in the building's energy use is an important problem. The existing approaches either retrieve limited information about the anomaly causes, or are difficult to adapt to different buildings. This paper presents an easily adaptable diagnosis approach that exploits the building's hierarchy of submeters, i. e. information on how much energy is used by the different building equipments. It computes novel diagnosis results consisting of two parts: (i) the extent to which building equipments cause abnormal energy use, and (ii) the extent to which internal and external factors determine the energy use of building equipments. Computing such diagnosis results requires an approach that can predict the energy use for the different submeters and that can also determine the factors that influence the energy use. However, existing building approaches do not meet these requirements. As a remedy, we propose a novel approach using the generalized additive model (GAM), which incorporates various exogenous variables affecting building energy use, such as weather conditions and time of the day. Our experiments demonstrate that the proposed method can efficiently model the impact of different factors and diagnose the causes of anomalies.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"31 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":"122005149","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}
引用次数: 36
Non-Intrusive Occupancy Monitoring using Smart Meters 使用智能电表进行非侵入式占用监控
Dong Chen, S. Barker, Adarsh Subbaswamy, David E. Irwin, P. Shenoy
{"title":"Non-Intrusive Occupancy Monitoring using Smart Meters","authors":"Dong Chen, S. Barker, Adarsh Subbaswamy, David E. Irwin, P. Shenoy","doi":"10.1145/2528282.2528294","DOIUrl":"https://doi.org/10.1145/2528282.2528294","url":null,"abstract":"Detailed information about a home's occupancy is necessary to implement many advanced energy-efficiency optimizations. However, monitoring occupancy directly is intrusive, typically requiring the deployment of multiple environmental sensors, e.g., motion, acoustic, CO2, etc. In this paper, we explore the potential for Non-Intrusive Occupancy Monitoring (NIOM) by using electricity data from smart meters to infer occupancy. We first observe that a home's pattern of electricity usage generally changes when occupants are present due to their interact with electrical loads. We empirically evaluate these interactions by monitoring ground truth occupancy in two homes, then correlating it with changes in statistical metrics of smart meter data, such as power's mean and variance, over short intervals. In particular, we use each metric's maximum value at night as a proxy for its maximum value in an unoccupied home, and then signal occupancy whenever the daytime value exceeds it. Our results highlight NIOM's potential and its challenges.","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":"130533699","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}
引用次数: 167
A Distributed Energy Monitoring and Analytics Platform and its Use Cases 分布式能源监测与分析平台及其用例
Neil Klingensmith, Dale Willis, Suman Banerjee
{"title":"A Distributed Energy Monitoring and Analytics Platform and its Use Cases","authors":"Neil Klingensmith, Dale Willis, Suman Banerjee","doi":"10.1145/2528282.2528283","DOIUrl":"https://doi.org/10.1145/2528282.2528283","url":null,"abstract":"We present Emonix, a distributed, low-cost system for monitoring and analyzing energy consumption patterns in buildings. Emonix is designed with our custom energy sensing hardware and integrated communication units to be efficiently mounted in breaker panels of buildings. In contrast to plug-based monitoring systems, this approach is less intrusive to users because it does not intrude on their physical space, yet it still provides fine-grained real-time energy data in both space and time. The Emonix hardware platform is open, modular, and extensible. It provides an accessible data and configuration API for users, and we believe it is useful to the broad community. To demonstrate the usefulness of this platform, we have deployed this infrastructure on two campus dormitories covering 60 rooms and 120 residents. We have been operating this infrastructure as an energy monitoring service for the residents for more than four months to help them understand their consumption patterns at different timescales. Our results indicate significant temporal variations in energy consumption patterns at different time scales, and that a small fraction of occupants can consume a disproportionately large amount of energy in such buildings.","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":"133005965","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}
引用次数: 9
Exploring Sequential and Association Rule Mining for Pattern-based Energy Demand Characterization 探索基于模式的能源需求特征的顺序和关联规则挖掘
L. Ong, M. Berges, H. Noh
{"title":"Exploring Sequential and Association Rule Mining for Pattern-based Energy Demand Characterization","authors":"L. Ong, M. Berges, H. Noh","doi":"10.1145/2528282.2528308","DOIUrl":"https://doi.org/10.1145/2528282.2528308","url":null,"abstract":"The relationship between occupant activity and electricity consumption is inextricably linked. It has been difficult to both gather detailed energy data and information about occupants' daily lives as well as understand their relationship quantitatively. There is significant past work on activity recognition in homes and load prediction, but there is limited understanding of how activities can inform consumption or vice versa. Our work begins by characterizing power data as provided by plug-level meters from one household. Association and sequential rule mining techniques are applied to extract explicit rules that may be useful for forming the basis of demand patterns. Initial findings include the identification of device groups but highlight the challenges of modeling complex patterns and event rarity.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"127 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":"133578892","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}
引用次数: 14
Performance of the Latest Generation Powerline Networking for Green Building Applications 绿色建筑应用中最新一代电力线网络的性能
Joseph Taylor, Nirmalya Roy, David Kleinschmidt, B. Shirazi
{"title":"Performance of the Latest Generation Powerline Networking for Green Building Applications","authors":"Joseph Taylor, Nirmalya Roy, David Kleinschmidt, B. Shirazi","doi":"10.1145/2528282.2534157","DOIUrl":"https://doi.org/10.1145/2528282.2534157","url":null,"abstract":"Green building applications need to efficiently communicate fine-grained power consumption patterns of a wide variety of consumer-grade appliances for an effective adaptation and percolation of demand response models down to the consumer level appliances. A key inhibitor to the widespread adoption of such demand response policies at the consumer grade appliances level for intelligent building energy management, is the inability of smart plugs/sensors to efficiently communicate and control the power consumption. However since they already connected with the power grid, a natural question arises, whether the power consumption telemetry can be communicated over existing mains wiring. The use of existing wiring produces a simple and cost-effective attractive solution, and avoids many issues observed with wireless mesh networks, such as islands and bottlenecks and helps vacate the increasing congested spectrum. In this paper we explore the feasibility and efficacy of Powerline Communications (PLC) as a backbone of wireless communications in a home environment, both for high-bandwidth and low-bandwidth intensive applications. In this demo we show several state-of-the-art PLC modems' behavior using end-to-end measurements and their performance, throughput and noise characteristics.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"2 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":"127679980","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}
引用次数: 1
Watts in the basket?: Energy Analysis of a Retail Chain 瓦茨在篮下?:一家零售连锁店的能源分析
Shiva R. Iyer, V. Sarangan, Arunchandar Vasan, A. Sivasubramaniam
{"title":"Watts in the basket?: Energy Analysis of a Retail Chain","authors":"Shiva R. Iyer, V. Sarangan, Arunchandar Vasan, A. Sivasubramaniam","doi":"10.1145/2528282.2528303","DOIUrl":"https://doi.org/10.1145/2528282.2528303","url":null,"abstract":"Electricity accounts for a significant part of a retail store's cost-to-serve. For a retail business spread across several stores, it is important to identify the correlations between cost, energy, operations, and location. To this end, we present a measurement-based analysis of energy and operations data gathered from 201 stores of a leading retail chain over a two year period. We employ statistical techniques and unsupervised learning to understand the inter-relationships across the various dimensions. Specifically, we find that: (i) The well-known Pareto cost-benefit principle (or the eighty-twenty effect) does not hold when considering the energy consumption as cost with customers served and store area covered as the benefits; (ii) After accounting for the time-of-day effects, sales counts do not affect energy consumption statistically, while ambient temperatures do so; (iii) Stores that exhibit a greater degree of energy proportionality have larger areas; and (iv) Opportunities for improvements exist in reducing the energy cost of operations. Many stores switch their operations on well ahead of their opening times. The average annual energy savings that could potentially be achieved across 201 stores if their operations are in tune with their opening time is roughly 8.2 GWh (2.5%). These savings can be achieved with just changes in operational procedures with zero capital investment.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"55 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":"124622276","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}
引用次数: 7
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