NNA Research: Collaborative Research: Responding to Energy Insecurity in Arctic Housing Using a Community-Based Participatory Research

NNA 研究:合作研究:利用基于社区的参与性研究应对北极住房的能源不安全

基本信息

  • 批准号:
    2220236
  • 负责人:
  • 金额:
    $ 171.89万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-01-01 至 2026-12-31
  • 项目状态:
    未结题

项目摘要

Navigating the New Arctic (NNA) is one of NSF's 10 Big Ideas. NNA projects address convergence scientific challenges in the rapidly changing Arctic. This Arctic research is needed to inform the economy, security and resilience of the Nation, the larger region and the globe. NNA empowers new research partnerships from local to international scales, diversifies the next generation of Arctic researchers, enhances efforts in formal and informal education, and integrates the co-production of knowledge where appropriate. This award fulfills part of that aim by addressing interactions among social systems, natural environment, and built environment in the following NNA focus areas: Arctic Residents, Data and Observations, Education, Forecasting, and Resilient Infrastructure.This research seeks to address the substantial existing and emerging housing challenges that rural Alaskan communities currently face. Specifically, many homes in these communities are highly energy inefficient; many others were not designed for the harsh Alaskan climate; many are old and overcrowded. The high cost of electricity and heating fuel combined with these housing challenges makes many rural Alaskan homes highly energy burdened (i.e. a high percentage of household income is used for energy costs). The most vulnerable households are estimated to spend nearly half of their income on energy bills. These challenges are worsened by the changing climate conditions. Government-funded programs to improve the efficiency of homes have been ongoing for many years, however, in some cases these efficiency improvements are not being used by households, and/or are not performing as intended. There is currently limited research on why this occurs, and solutions that can help to address this. Therefore, this research seeks to, in collaboration with three rural Alaskan communities and a diversity of key non-profits and other stakeholders, identify better, more culturally appropriate ways to adapt rural Alaskan housing to alleviate energy burden. Many will benefit from the results of this effort, including Alaskan homeowners, society as a whole, and the scientific community. Specifically, current and future homeowners in these communities will benefit from energy efficiency programs that are better designed to fit their cultural values and interests, making the homeowners more likely to benefit from participation. This will also improve the wellbeing of communities by reducing stresses related to energy costs through methods that support socio-cultural and environmental connections. Society will benefit from programs designed to achieve the maximum long-term energy and emissions reductions, thus maximizing the benefits of the use of public money. The scientific community will benefit from this research through the better understanding of key factors influencing the long-term success of energy efficiency improvements. The proposed research effort seeks to answer the following research questions: How can existing Alaska Native housing be adapted to better alleviate energy insecurity? How effective are existing energy efficiency retrofit methods, and how can they be improved to reduce long-term energy burden? The response to these research questions is obtained using a community-based participatory research in the villages of Unalakleet, Nome, and Quinhagak. Through six interlinked tasks, the research team will collaboratively develop improvement strategies that incorporate cultural beliefs and values, field data collection, and integrated building energy models which together address identified causes of energy burden for existing housing. Task 1 will establish the methods for knowledge co-production and collaboration with the communities. Task 2 will use climate model outputs and surface weather station data along with community interviews, to construct future climate scenarios for each community. Task 3 will assess the characteristics, efficiency, and long-term performance of homes, including those with and without retrofits. Through buildings validated energy models, it will also quantify the factors driving energy burden, and the impacts energy efficiency improvements have had on energy burden. Task 4 will assess the cultural values and beliefs that members of rural Alaskan communities have around energy use and energy efficient technology, resulting in an understanding of cultural barriers and opportunities for energy efficiency improvement implementation. Task 5 will identify retrofit strategies which both reduce energy burden considering future climate scenarios, and fit Alaska Native cultural values and beliefs. It will also recommend the need for improvements to energy efficiency implementation, including design changes and/or energy education. The final task will develop energy engineering curriculum which will be implemented in K-12 and higher education classrooms.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.
NSF的10个大创意之一是导航新北极(NNA)。 NNA项目应对北极快速变化的融合科学挑战。需要进行这项北极研究,以告知国家,较大地区和全球的经济,安全和弹性。 NNA赋予从本地量表到国际规模的新研究伙伴关系,使下一代北极研究人员多样化,加强了正规和非正式教育方面的努力,并在适当的情况下整合了知识的共同生产。该奖项通过解决以下NNA焦点领域中的社会系统,自然环境和建筑环境之间的互动来实现这一目标:北极居民,数据和观察,教育,预测以及弹性的基础架构。这项研究旨在解决目前面临的实质性现有和新兴住房挑战。具体而言,这些社区中的许多房屋效率很高。许多其他人并不是为阿拉斯加恶劣的气候设计的。许多人老了,人满为患。高昂的电力和供暖燃料与这些住房挑战相结合,使许多阿拉斯加农村房屋负担重大(即,用于能源成本的家庭收入中有很高的家庭收入)。据估计,最脆弱的家庭将其收入的近一半用于能源账单。气候条件不断变化,这些挑战会恶化。多年来,由政府资助的提高房屋效率的计划一直在进行多年,但在某些情况下,这些效率提高并未被家庭使用,并且/或没有按预期进行。目前,关于发生这种情况的研究有限,可以帮助解决此问题的解决方案。因此,这项研究试图与三个阿拉斯加农村社区以及各种主要的非营利组织和其他利益相关者合作,确定更好,更适合文化的方法来适应阿拉斯加农村地区的住房以减轻能源负担。许多人将受益于这项工作的结果,包括阿拉斯加的房主,整个社会和科学界。具体而言,这些社区中的现任和未来房主将受益于能够旨在适合其文化价值和利益的能源效率计划,从而使房主更有可能从参与中受益。这也将通过支持社会文化和环境联系的方法来减少与能源成本相关的压力,从而改善社区的福祉。社会将受益于旨在实现最大长期能源和减少排放的计划,从而最大程度地利用公共资金的利益。科学界将通过更好地理解影响能源效率改善的长期成功的关键因素,从这项研究中受益。拟议的研究工作旨在回答以下研究问题:如何适应现有的阿拉斯加本地住房以更好地减轻能源不安全感?现有的能源效率改造方法的有效性如何,如何改善它们以减轻长期能源负担?对这些研究问题的回答是使用在Unalakleet,Nome和Quinhagak的村庄的社区参与研究中获得的。通过六项相互联系的任务,研究团队将共同制定改进策略,结合文化信念和价值观,现场数据收集以及集成的建筑能源模型,共同解决了确定的现有住房能源负担的原因。任务1将建立与社区共同生产和合作的知识方法。 任务2将使用气候模型输出和表面气象站数据以及社区访谈,为每个社区构建未来的气候场景。任务3将评估房屋的特征,效率和长期性能,包括有和没有改造的房屋。通过建筑物验证的能源模型,它还将量化驱动能源负担的因素,并提高能源效率对能源负担的影响。任务4将评估阿拉斯加农村社区成员围绕能源使用和节能技术的文化价值和信念,从而了解文化障碍和能源效率提高实施的机会。任务5将确定考虑到未来气候情景的改造策略,既减轻能源负担,又适合阿拉斯加的本地文化价值和信念。它还将建议需要改进能源效率实施,包括设计变更和/或能源教育。最终任务将开发能源工程课程,该课程将在K-12和高等教育教室中实施。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持的。

项目成果

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Kristen Cetin其他文献

Development and Evaluation of an Energy Assessment Process Using Virtual Reality Technology
使用虚拟现实技术开发和评估能源评估过程
  • DOI:
    10.1061/9780784485262.050
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Behlul Kula;A. L. Roxas;Kristen Cetin;Annick Anctil;George Berghorn
  • 通讯作者:
    George Berghorn
Identifying Rural High Energy Intensity Residential Buildings Using Metered Data
使用计量数据识别农村高能源强度住宅建筑
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    6.7
  • 作者:
    Diba Malekpour Koupaei;Kristen Cetin;Ulrike Passe;Anne Kimber;Cristina Poleacovschi
  • 通讯作者:
    Cristina Poleacovschi
Cooling demand reduction with nighttime natural ventilation to cool internal thermal mass under harmonic design-day weather conditions
  • DOI:
    10.1016/j.apenergy.2024.124947
  • 发表时间:
    2025-02-01
  • 期刊:
  • 影响因子:
  • 作者:
    Mingtong Li;Xiong Shen;Wentao Wu;Kristen Cetin;Finn Mcintyre;Liangzhu Wang;Lixing Ding;Daniel Bishop;Larry Bellamy;Meng Liu
  • 通讯作者:
    Meng Liu
Data-Driven Residential Electric Vehicle Charging Behavior and Load Profile Modeling for Demand Response in the Midcontinent Independent System Operator Region
数据驱动的住宅电动汽车充电行为和负载曲线建模,用于中部大陆独立系统运营商地区的需求响应
  • DOI:
    10.1061/jaeied.aeeng-1537
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    2
  • 作者:
    E. Kawka;Roohany Mahmud;Kristen Cetin;S. Banerji
  • 通讯作者:
    S. Banerji
A growth curve-based Bayesian hierarchical model for multi-building energy use data analysis
  • DOI:
    10.1016/j.buildenv.2021.108349
  • 发表时间:
    2021-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Hoyeon Hwang;Yiyi Chu;Hyejin Eom;Kristen Cetin;Jongho Im
  • 通讯作者:
    Jongho Im

Kristen Cetin的其他文献

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{{ truncateString('Kristen Cetin', 18)}}的其他基金

FW-HTF-RL/Collaborative Research: Future of Digital Facility Management (Future of DFM)
FW-HTF-RL/协作研究:数字设施管理的未来(DFM 的未来)
  • 批准号:
    2326407
  • 财政年份:
    2023
  • 资助金额:
    $ 171.89万
  • 项目类别:
    Standard Grant
CAREER: CAS- Climate: Improving the Participation of Diverse Residential Buildings in Demand Side Management
职业:CAS-气候:提高多样化住宅建筑对需求侧管理的参与
  • 批准号:
    2144468
  • 财政年份:
    2022
  • 资助金额:
    $ 171.89万
  • 项目类别:
    Continuing Grant
Collaborative Research: Bridging the Gap Between Academia and Industry in Approaches for Solving Ill-Structured Problems
合作研究:弥合学术界和工业界在解决结构不良问题的方法上的差距
  • 批准号:
    2013144
  • 财政年份:
    2019
  • 资助金额:
    $ 171.89万
  • 项目类别:
    Standard Grant
Collaborative Research: A Framework for Assessing the Impact of Extreme Heat and Drought on Urban Energy Production and Consumption
合作研究:评估极端高温和干旱对城市能源生产和消费影响的框架
  • 批准号:
    2013161
  • 财政年份:
    2019
  • 资助金额:
    $ 171.89万
  • 项目类别:
    Standard Grant
Collaborative Research: Adaptive, Multi-Layered Fenestration Elements for Optimum Building Energy Performance and Occupant Comfort
合作研究:自适应多层门窗元件,以实现最佳建筑能源性能和居住者舒适度
  • 批准号:
    2013093
  • 财政年份:
    2019
  • 资助金额:
    $ 171.89万
  • 项目类别:
    Standard Grant
Collaborative Research: Adaptive, Multi-Layered Fenestration Elements for Optimum Building Energy Performance and Occupant Comfort
合作研究:自适应多层门窗元件,以实现最佳建筑能源性能和居住者舒适度
  • 批准号:
    1762592
  • 财政年份:
    2018
  • 资助金额:
    $ 171.89万
  • 项目类别:
    Standard Grant
Collaborative Research: A Framework for Assessing the Impact of Extreme Heat and Drought on Urban Energy Production and Consumption
合作研究:评估极端高温和干旱对城市能源生产和消费影响的框架
  • 批准号:
    1662691
  • 财政年份:
    2017
  • 资助金额:
    $ 171.89万
  • 项目类别:
    Standard Grant
Collaborative Research: Bridging the Gap Between Academia and Industry in Approaches for Solving Ill-Structured Problems
合作研究:弥合学术界和工业界在解决结构不良问题的方法上的差距
  • 批准号:
    1712157
  • 财政年份:
    2017
  • 资助金额:
    $ 171.89万
  • 项目类别:
    Standard Grant

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相似海外基金

Collaborative Research: NNA Research: Electric Vehicles in the Arctic (EVITA) - Interactions with Cold Weather, Microgrids, People, and Policy
合作研究:NNA 研究:北极电动汽车 (EVITA) - 与寒冷天气、微电网、人员和政策的相互作用
  • 批准号:
    2318385
  • 财政年份:
    2024
  • 资助金额:
    $ 171.89万
  • 项目类别:
    Standard Grant
Collaborative Research: NNA Research: Electric Vehicles in the Arctic (EVITA) - Interactions with Cold Weather, Microgrids, People, and Policy
合作研究:NNA 研究:北极电动汽车 (EVITA) - 与寒冷天气、微电网、人员和政策的相互作用
  • 批准号:
    2318384
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NNA 孵化器:合作研究:土著主导的北极研究协同生产和融合策略
  • 批准号:
    2318276
  • 财政年份:
    2023
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NNA Collaboratory: Collaborative Research: ACTION - Alaska Coastal Cooperative for Co-producing Transformative Ideas and Opportunities in the North
NNA 合作实验室:合作研究:行动 - 阿拉斯加沿海合作社,共同在北部产生变革性的想法和机遇
  • 批准号:
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NNA Collaboratory: Collaborative Research: ACTION - Alaska Coastal Cooperative for Co-producing Transformative Ideas and Opportunities in the North
NNA 合作实验室:合作研究:行动 - 阿拉斯加沿海合作社,共同在北部产生变革性的想法和机遇
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    2318375
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