| 项目编号: | 1511151
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| 项目名称: | UNS: Intelligent Multi-Criteria Building Ventilation Control within Dynamic Urban Environments |
| 作者: | Michael Waring
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| 承担单位: | Drexel University
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| 批准年: | 2014
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| 开始日期: | 2015-09-01
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| 结束日期: | 2018-08-31
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| 资助金额: | USD299666
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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: | ventilation
; ventilation rate
; building energy innovation
; experimental building
; high performance green building
; real building
; polluted urban area
; current minimum ventilation rate paradigm
; specific office building
; environmental sustainability
; plug-and-play dynamic ventilation control method
; building industry
; commercial building
; green office building
; intelligent ventilation strategy
; control algorithm
; multi-criteria ventilation control
; dynamic control framework
; intelligent ventilation
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| 英文摘要: | 1511151 (Waring)
Americans spend 90% of our time indoors, where poor indoor air quality (IAQ) is a top risk to human health and productivity. Maintaining acceptable IAQ requires ventilation, or replacing indoor with outdoor air, usually by mechanical systems. Ventilation rates are set as minimum standards for commercial buildings (e.g. 8.5 L/s/person for offices), though new research suggests that higher rates increase occupant productivity and decrease absenteeism. However, increasing ventilation requires energy to move and condition the air, can strain the electricity grid, and can degrade IAQ in polluted urban areas. The current minimum ventilation rate paradigm is simplistic, with no framework for evaluating most of these numerous and competing positive and negative consequences. As such, many opportunities are missed for promoting environmental sustainability, including increasing occupant wellbeing, improving energy efficiency, and reducing greenhouse gas and local pollutant emissions. The purpose of this project is to capitalize on these opportunities by researching next-generation, intelligent ventilation strategies for high performance green buildings.
Since elements such as weather, pollution, and energy prices have diurnal and seasonal profiles, large benefits may be realized at minimal energy costs with systems-level strategies that capitalize on transient behaviors within a dynamic control framework. This project will research dynamic, holistic, multi-criteria ventilation control in green office buildings. It will: (1) Formalize a user-oriented, multi-criteria decision-making framework with a comprehensive and flexible utility function, and evaluate the impacts of intelligent ventilation in a variety of settings with special attention to the influence of building and location characteristics, and (2) Investigate self-learning, plug-and-play dynamic ventilation control methods that can adapt to specific office buildings and meet the unique challenges of the building industry. It will assess impacts and develop control algorithms with detailed simulations, as well as validate the work in a real building in Philadelphia that is already instrumented to measure pollutants and energy use. Results will be disseminated to (i) the public through a web display of the real-time state of the experimental building; to (ii) the scientific community through conference and journal publications and investigator affiliations with the Consortium for Building Energy Innovation; and to (iii) industry through affiliations with technical committees in the American Society for Heating, Refrigeration, and Air-conditioning Engineers (ASHRAE). |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/93589
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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: | |
Michael Waring. UNS: Intelligent Multi-Criteria Building Ventilation Control within Dynamic Urban Environments. 2014-01-01.
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