GOALI: Climate-Responsive Design and Control Strategies for Affordable Multi-Family Residences
目标:经济适用多户住宅的气候响应型设计和控制策略
基本信息
- 批准号:1804218
- 负责人:
- 金额:$ 36万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-01 至 2022-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Nationally, mechanical air conditioning accounts for ~40% of energy use in all buildings, and over 50% in residential buildings. This project focuses on creating industrially-relevant, immediately applicable solutions for transforming non-mechanical,passive heating and cooling system design and delivery throughout the U.S. Effective passive heating and cooling strategies are virtually absent from U.S. buildings for several reasons, including existing passive design tools are unwieldy and time-consuming to use, and effective, responsive control strategies are unavailable. These problems are particularly acute in affordable housing, where extra designer time and typical green design measures (e.g. superinsulation, triple-pane windows, PV arrays) are too costly. To alleviate these problems, this project targets the following advances: (Task 1) A set of new, visual metrics to express a location's unique combination of useful climatic resources for passive heating and cooling, as well as their respective values, enabling rapid prioritization in early design stages; (Task 2) A set of customizable residential dwelling prototypes for simulation to allow designers to estimate energy benefits of passive system adoption in a climate of interest before investing in project-specific simulation, accompanied by cost implications, along with a rigorous estimate of the extent to which optimally-controlled passive heating and cooling systems can reduce mechanical conditioning needs and diminish GHG emissions in multi-family dwellings in the major climate zones of the U.S.; and (Task 3) A field-tested intelligent control system for operating combined passive systems optimally and responding continuously to weather, forecasts, and user input.As a GOALI project, a primary broader impact will be the exchange of expertise between industry (Mithun, Inc., a leading national sustainable design firm) and academia (the University of Oregon and Rensselaer Polytechnic Institute), connecting with industrial research, providing industrially-relevant results, and educating students through research fellowships and in-office internships. The work will advance national carbon-neutral building design by (a) the dissemination of climate metrics, customizable passive system prototype models, and control approaches through national channels, and (b) the construction of built products, to be realized as experimental elements within Mithun projects, that will then serve as precedents for others to study and further improve upon. An additional targeted impact is the enhancement of social inclusiveness in green design, which typically offers better air quality and lower utility bills to residents; this work will facilitate green building strategies for affordable buildings that rarely offer such advantages. The project will also support and expand the team's outreach work with the University of Oregon Sustainable City Year Program, in which city planners and community members work with students to realize effective environmental designs, increasing public engagement with science and technology.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
在全国范围内,机械空调占所有建筑物能耗的40%左右,在住宅建筑中占50%以上。该项目的重点是创建工业相关的,立即适用的解决方案,用于改造整个美国的非机械,被动加热和冷却系统设计和交付有效的被动加热和冷却策略几乎不存在于美国建筑物中,原因有几个,包括现有的被动设计工具笨重且使用耗时,有效的,响应式控制策略不可用。这些问题在经济适用房中尤为严重,因为额外的设计时间和典型的绿色设计措施(如超级隔热、三层玻璃窗、光伏阵列)成本太高。为了缓解这些问题,该项目针对以下进展:(任务1)一组新的视觉指标,以表达一个位置的被动加热和冷却的有用气候资源的独特组合,以及它们各自的值,从而能够在早期设计阶段快速确定优先级;(任务2)一套可定制的住宅模拟原型,使设计师能够估计在感兴趣的气候中采用被动系统的能源效益,投资于项目特定的模拟,伴随着成本影响,沿着严格估计最佳控制的被动加热和冷却系统可以在多大程度上减少机械调节需求,并减少美国主要气候区多户住宅的温室气体排放;和(任务3)一个经过现场测试的智能控制系统,用于最佳地操作组合被动系统,并对天气、预报和用户输入连续作出反应。作为一个GOALI项目,一个主要的更广泛的影响将是行业之间的专业知识交流(Mithun,Inc.,一家领先的国家可持续设计公司)和学术界(俄勒冈州大学和伦斯勒理工学院),与工业研究,提供工业相关的成果,并通过研究奖学金和办公室实习教育学生。这项工作将通过以下方式推进国家碳中和建筑设计:(a)通过国家渠道传播气候指标、可定制的被动系统原型模型和控制方法;(B)建造建筑产品,作为Mithun项目内的实验要素,然后作为其他人研究和进一步改进的先例。另一个有针对性的影响是加强绿色设计的社会包容性,这种设计通常能为居民提供更好的空气质量和更低的水电费;这项工作将促进绿色建筑战略,用于很少提供这种优势的负担得起的建筑。该项目还将支持和扩大该团队与俄勒冈州大学可持续城市年计划的外联工作,在该计划中,城市规划者和社区成员与学生合作,实现有效的环境设计,该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查进行评估,被认为值得支持的搜索.
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Service-Learning Projects in Passive Solar Heating through the Sustainable City Year Program
通过可持续城市年计划开展被动式太阳能供暖服务学习项目
- DOI:10.21428/f7d9ca02.9f617cd4
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Rempel, Alexandra R;Banks, Megan
- 通讯作者:Banks, Megan
Performance, robustness, and portability of imitation-assisted reinforcement learning policies for shading and natural ventilation control
- DOI:10.1016/j.apenergy.2023.121364
- 发表时间:2023-10
- 期刊:
- 影响因子:11.2
- 作者:Bumsoo Park;A. Rempel;Sandipan Mishra
- 通讯作者:Bumsoo Park;A. Rempel;Sandipan Mishra
Numerical optimization of integrated passive heating and cooling systems yields simple protocols for building energy decarbonization
- DOI:10.1080/23744731.2019.1620578
- 发表时间:2019-06
- 期刊:
- 影响因子:1.9
- 作者:A. Rempel;Serena Lim
- 通讯作者:A. Rempel;Serena Lim
Direct heat flux sensing for window shading control in passive cooling systems
用于被动冷却系统中窗户遮阳控制的直接热通量传感
- DOI:10.1016/j.enbuild.2022.111950
- 发表时间:2022
- 期刊:
- 影响因子:6.7
- 作者:Danis, Jackson;Mishra, Sandipan;Rempel, Alexandra R.
- 通讯作者:Rempel, Alexandra R.
Magnitude and distribution of the untapped solar space-heating resource in U.S. climates
- DOI:10.1016/j.rser.2021.111599
- 发表时间:2021-11
- 期刊:
- 影响因子:15.9
- 作者:A. Rempel;A. Rempel;S. McComas;S. Duffey;C. Enright;S. Mishra
- 通讯作者:A. Rempel;A. Rempel;S. McComas;S. Duffey;C. Enright;S. Mishra
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Alexandra Rempel其他文献
Alexandra Rempel的其他文献
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{{ truncateString('Alexandra Rempel', 18)}}的其他基金
CPS Medium: Collaborative Research: Physics-Informed Learning and Control of Passive and Hybrid Conditioning Systems in Buildings
CPS 媒介:协作研究:建筑物中被动和混合空调系统的物理信息学习和控制
- 批准号:
2241796 - 财政年份:2023
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
PFI-RP: Architectural design and intelligent control tools for decarbonizing space cooling and heating in buildings
PFI-RP:用于建筑物空间制冷和供暖脱碳的建筑设计和智能控制工具
- 批准号:
2234630 - 财政年份:2023
- 资助金额:
$ 36万 - 项目类别:
Standard Grant
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