| 项目编号: | 1336824
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| 项目名称: | Wireless Occupancy Detection to Improve Building Energy Efficiency |
| 作者: | Nicholas Kirsch
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| 承担单位: | University of New Hampshire
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| 批准年: | 2013
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| 开始日期: | 2014-01-15
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| 结束日期: | 2018-08-31
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| 资助金额: | USD299736
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Engineering - Chemical, Bioengineering, Environmental, and Transport Systems
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| 英文关键词: | investigator
; occupant
; building
; energy efficiency
; occupancy
; number
; occupancy level
; test building
; energy-consuming system
; university building management
; green building design
; energy efficient control strategy
; project
; different building system
; green building
; real-time occupancy datum
; conventional occupancy sensor
; stochastic occupancy
; building control system
; non-intrusive occupancy detection system
; building design
; occupancy tracking datum
; occupancy datum
; comprehensive occupancy datum
; campus building
; real building
; wireless communication system
; building sustainability
|
| 英文摘要: | 1336824 (Fu). Buildings are the largest consumers of energy in the United States and, therefore, creating green buildings can significantly aid the country?s pressing need to enhance energy efficiency and sustainability. The objective of this project is to detect and estimate the number of occupants in buildings to control building energy-consuming systems and thereby increase energy efficiency. Conventional occupancy sensors detect the presence of occupants, where a single person is treated equally as a group of people. For building controls such as lighting, these presence-based methods are sufficient. However, controls, such as ventilation, heating and cooling, may fluctuate considerably depending on the number of occupants in a room. Instead of detecting the physical presence of occupants from movements or body heat as in conventional sensors, the investigators propose to detect occupancy by sensing existing cellphone communications. A recently published study reported that 99% of individuals carry cellphones and even idle cellphones communicate routinely with cell towers. By sensing cellphone signals inside buildings, the investigators propose that the number and locations of cellphones (and their human carriers) can be accurately determined. The occupancy data will then be provided to building automation systems to improve energy efficiency by adjusting different building systems (ventilation, heating/cooling, etc.) accordingly. This research includes three objectives: cellular communication-based occupant tracking, analysis and prediction of stochastic occupancy for energy efficient control strategies, and prototype testing in real buildings. In the first objective, the investigators will use multiple cellular phone control-channel traffic sensors to identify the position of each occupant. The second objective of the project focuses on data fusion and analysis of the cellular signal data. The investigators will develop algorithms that determine the number of occupants and position based upon the spectrum-sensing network. With occupancy tracking data, the investigators will develop stochastic models of occupancy in test buildings. Such models will be used to predicate occupancy levels for the following phase of this project. In the last objective, the investigators aim to implement new control strategies that leverage the comprehensive occupancy data to improve efficiency in building control systems. Experiments will be conducted in ten campus buildings to implement the proposed methods in collaboration with university building management. The success of the proposed system will improve building sustainability and potentially change the fields of building design and operations by providing real-time occupancy data. Moreover, the proposed non-intrusive occupancy detection system may find use in areas such as security, rescue efforts (locating victims) and elderly care (resident tracking in nursing homes). The PIs will incorporate different aspects of the research into Electrical/Computer and Civil Engineering courses (Wireless Communication System and Green Building Design) as well as the Dual Major in Sustainability at UNH. Students from different backgrounds will work as a team and be exposed to diverse, interdisciplinary research topics. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/97432
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| Appears in Collections: | 影响、适应和脆弱性
气候减缓与适应
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| Recommended Citation: | |
Nicholas Kirsch. Wireless Occupancy Detection to Improve Building Energy Efficiency. 2013-01-01.
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