PFI (MCA): Embodied Carbon Emission and Environmental Impact from Built Environment

PFI (MCA):建筑环境的隐含碳排放和环境影响

基本信息

  • 批准号:
    2317971
  • 负责人:
  • 金额:
    $ 34.87万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2024
  • 资助国家:
    美国
  • 起止时间:
    2024-01-15 至 2026-12-31
  • 项目状态:
    未结题

项目摘要

The broader impact/commercial potential of this Partnerships for Innovation – Mid Career Advancement (PFI-MCA) project addresses societal and educational aspects related to the Environmental Impact and Carbon Footprint of Buildings. At the societal level, the proposed integrated framework addresses the need for built environment embodied carbon and environmental impact assessments. By integrating different models to assess mitigation effectiveness of embodied carbon / environmental impact reduction, the approach enables the engineering analysis of public policies and socio-economic impacts. At the educational level, the project will support both underrepresented undergraduate and graduate team members. The knowledge generated in the project will be translated into experiential education modules that will be integrated into the core courses offered at The Keough School of Global Affairs Integration Lab at the University of Notre Dame. The modules aim to teach, train, and inspire the next generation’s design leaders who are engaged in sustainable design and construction. The proposed project is to develop an integrated ecological-technological framework and create a dashboard (BUILT4CLIMATE) to visualize the embodied carbon emission and related environmental impact from the building stock in the United States at the zip code level. By linking two detailed assessments—building information modeling (BIM) and life cycle assessment (LCA)—at the individual building level, we can scale up the results to model the dynamic of the entire building stock. In the United States, the lack of knowledge regarding a building’s embodied carbon impact exists at the whole-building level due to the lack of methodology, building-level data and benchmarks. To address this knowledge gap, our project offers several intellectual merits. Firstly, the proposed integrated framework will provide a comprehensive, quantitative approach to focus on embodied carbon and its associated environmental impacts. Secondly, the creation of a national building stock database will significantly enhance the quality and quantity of empirical data available. Thirdly, mapping carbon emissions from the national building stock at a more granular county level will offer policymakers and regulators reliable insights into hot spots and aid in comparing different development strategies. Additionally, this project will establish benchmarks for life cycle embodied performance across various building types at a national scale. Lastly, automating the BIM and LCA processes will improve the accuracy and speed of benchmarking.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.
该创新伙伴关系 - 中期职业发展 (PFI-MCA) 项目的更广泛影响/商业潜力解决了与建筑物的环境影响和碳足迹相关的社会和教育方面的问题。在社会层面,拟议的综合框架解决了以下需求:通过整合不同的模型来评估隐含碳/环境影响的缓解效果,该方法可以在教育层面对公共政策和社会经济影响进行工程分析。本科生和研究生团队代表性不足该项目中产生的知识将转化为体验式教育模块,并纳入圣母大学基奥全球事务整合实验室提供的核心课程中。这些模块旨在教学、培训和启发。拟议的项目旨在开发一个综合的生态技术框架并创建一个仪表板(BUILT4CLIMATE),以可视化美国建筑群的具体碳排放和相关环境影响。各州位于通过在单个建筑层面链接两个详细的评估——建筑信息模型(BIM)和生命周期评估(LCA),我们可以扩大结果以模拟美国整个建筑群的动态。国家,由于缺乏方法、建筑级数据和基准,对整个建筑的碳影响缺乏了解。为了解决这一知识差距,我们的项目提供了几个知识优点。综合框架将提供全面、定量的方法其次,建立国家建筑存量数据库将显着提高可用经验数据的质量和数量。第三,在更细粒度的县级绘制国家建筑存量的碳排放量。此外,该项目将为政策制定者和监管机构提供对热点的可靠见解,并帮助比较不同的开发策略。最后,BIM 和 LCA 流程的自动化将提高准确性和有效性。基准测试的速度。这反映了奖项通过使用基金会的智力价值和更广泛的影响审查标准进行评估,NSF 的法定使命被认为值得支持。

项目成果

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Ming Hu其他文献

‘Not-guilty’ verdicts in China: An empirical examination of legal defense and judicial rationales
中国的“无罪”判决:法律辩护和司法理由的实证检验
Building impact assessment—A combined life cycle assessment and multi-criteria decision analysis framework
建筑影响评估——组合生命周期评估和多标准决策分析框架
A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies
用于聚类来自群体研究的基于液滴的单细胞转录组数据的贝叶斯混合模型
  • DOI:
    10.1038/s41467-019-09639-3
  • 发表时间:
    2019-04-09
  • 期刊:
  • 影响因子:
    16.6
  • 作者:
    Zhe Sun;Li Chen;Hongyi Xin;Yale Jiang;Qianhui Huang;A. Cillo;T. Tabib;J. Kolls;T. Bruno;R. Lafyatis;D. Vignali;Kong Chen;Ying Ding;Ming Hu;Wei Chen
  • 通讯作者:
    Wei Chen
Bioavailability and Pharmacokinetics of Dihydroartemisinin (DHA) and its Analogs—Mechanistic Studies on its ADME
双氢青蒿素(DHA)及其类似物的生物利用度和药代动力学——ADME机制研究
  • DOI:
    10.1007/s40495-018-0120-y
  • 发表时间:
    2018-02-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    U. Osonwa;Ming Hu
  • 通讯作者:
    Ming Hu
Intertemporal Segmentation Via Flexible-Duration Group Buying
通过灵活期限团购进行跨期细分

Ming Hu的其他文献

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{{ truncateString('Ming Hu', 18)}}的其他基金

Collaborative Research: Elements: Phonon Database Generation, Analysis, and Visualization for Data Driven Materials Discovery
协作研究:要素:数据驱动材料发现的声子数据库生成、分析和可视化
  • 批准号:
    2311202
  • 财政年份:
    2023
  • 资助金额:
    $ 34.87万
  • 项目类别:
    Standard Grant
Equipment: MRI: Track 2 Acquisition of a High-Performance Computing Cluster for Boosting Artificial Intelligence Enabled Science, Engineering, and Education in South Carolina
设备: MRI:第二轨道收购高性能计算集群,以促进南卡罗来纳州人工智能支持的科学、工程和教育
  • 批准号:
    2320292
  • 财政年份:
    2023
  • 资助金额:
    $ 34.87万
  • 项目类别:
    Standard Grant
Deep Learning Accelerated Inverse Design of Lab-Scale Energy Efficient Heterojunctions for Wide-Bandgap Devices
宽带隙器件实验室规模节能异质结的深度学习加速逆向设计
  • 批准号:
    2110033
  • 财政年份:
    2021
  • 资助金额:
    $ 34.87万
  • 项目类别:
    Standard Grant
Thermal Transport in Dynamically Disordered Materials with Frustrated Energy Landscape
能量景观受挫的动态无序材料中的热传输
  • 批准号:
    2030128
  • 财政年份:
    2020
  • 资助金额:
    $ 34.87万
  • 项目类别:
    Continuing Grant
Collaborative Research: Workshop on "Health in Buildings for Today and Tomorrow"
合作研究:“今天和明天的建筑健康”研讨会
  • 批准号:
    1746081
  • 财政年份:
    2017
  • 资助金额:
    $ 34.87万
  • 项目类别:
    Standard Grant

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胆汁酸TβMCA通过抑制巨噬细胞S1PR2介导的焦亡减轻肝脏缺血再灌注损伤
  • 批准号:
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米根霉产L-乳酸途径丙酮酸分支点MCA研究
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