SAI: Supporting Equitable Building Decarbonization

SAI：支持公平建筑脱碳

• 批准号: 2324505
• 负责人: Amanda Webb
• 金额: $ 74.56万
• 依托单位: University of Cincinnati Main Campus
• 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: 2023-09-15 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2324505&HistoricalAwards=false
• 关键词: SAI; Supporting; Equitable; Building; Decarbonization

Strengthening American Infrastructure (SAI) is an NSF Program seeking to stimulate human-centered fundamental and potentially transformative research that strengthens America’s infrastructure. Effective infrastructure provides a strong foundation for socioeconomic vitality and broad quality of life improvement. Strong, reliable, and effective infrastructure spurs private-sector innovation, grows the economy, creates jobs, makes public-sector service provision more efficient, strengthens communities, promotes equal opportunity, protects the natural environment, enhances national security, and fuels American leadership. To achieve these goals requires expertise from across the science and engineering disciplines. SAI focuses on how knowledge of human reasoning and decision-making, governance, and social and cultural processes enables the building and maintenance of effective infrastructure that improves lives and society and builds on advances in technology and engineering.Reducing carbon emissions from homes is essential for meeting U.S. climate targets. It can also play a critical role in reducing social inequalities. Residential buildings are responsible for 21% of energy use in the U.S., and this resource use places greater burdens on residents in underserved communities who often live in less efficient housing and spend a higher proportion of their income on utility bills. Retrofitting residential buildings to simultaneously reduce energy use, lower carbon emissions, and address energy inequality is not only an engineering task but also a social challenge. However, most current research on building decarbonization focuses on technological solutions and does not center the perspectives and experiences of impacted communities. This SAI research project meets this need by establishing a community-engaged process and integrated modeling platform to help residents in underserved communities identify, plan, and implement decarbonization retrofits. By bringing together an interdisciplinary research team in partnership with the local community, this project democratizes scientific data for community needs and aims to advance public awareness and agency around building decarbonization.Decarbonization retrofits are typically evaluated using building energy models. These models provide a wealth of information that is used mainly by building designers, but this information also has enormous potential value to the public. This project integrates community-engaged, participatory research methods from psychology with building energy modeling tools from engineering to support equitable decarbonization. A core component of this project is its demonstration testbed, which engages residents in single-family homes currently under renovation in Cincinnati, Ohio as primary stakeholders and co-development partners. The psychosocial and technical needs for and barriers to building decarbonization in underserved communities are first identified and jointly contextualized through surveys, focus groups, and building energy audits. An innovative building energy modeling platform is developed in collaboration with the community to predict household carbon emissions and to understand retrofit costs and benefits. This modeling platform is then used in community workshops to examine how it can enhance local agency, decision-making, and action around decarbonization. A key outcome of this project is its replicable model for engaging the public with scientific models and data, which can be used to aid community-driven decarbonization planning in other locations.This award is supported by the Directorate for Social, Behavioral, and Economic (SBE) Sciences, the Directorate for Engineering, and the Directorate for Mathematical and Physical Sciences.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.

加强美国基础设施 (SAI) 是一项 NSF 计划，旨在促进以人为本的基础性和潜在变革性研究，加强美国的基础设施，为社会经济活力和广泛的生活质量改善提供坚实的基础。私营部门创新、发展经济、创造就业机会、提供更多公共部门服务、加强社区、促进平等机会、保护自然环境、增强国家安全并增强美国的领导力。要实现这些目标，需要来自各个领域的专业知识。 SAI 专注于人类推理和决策、治理以及社会和文化过程的知识如何能够建设和维护有效的基础设施，从而改善生活和社会，并以技术和工程的进步为基础。住宅排放对于实现美国气候目标至关重要。住宅建筑消耗了美国 21% 的能源，而这种资源使用给服务不足的居民带来了更大的负担。居住在较少住房且将较高比例的收入用于公用事业费用的社区，改造住宅建筑以同时减少能源使用、降低碳排放并解决能源不平等问题不仅是一项工程任务，也是一项社会效率挑战。目前关于建筑脱碳的大多数研究都侧重于技术解决方案，并未以受影响社区的观点和经验为中心。该 SAI 研究项目通过建立社区参与流程和集成建模平台来帮助服务欠缺社区的居民识别、规划、满足这一需求。并实施脱碳改造。通过与当地社区合作，汇集跨学科研究团队，该项目使科学数据民主化，以满足社区需求，旨在提高公众对建筑脱碳的认识和机构。脱碳改造通常使用建筑能源模型进行评估，这些模型提供了丰富的信息。该项目将社区参与的心理学研究方法与工程学的建筑能源建模工具相结合，以支持公平脱碳。项目是其示范试验台，它让俄亥俄州辛辛那提目前正在装修的单户住宅的居民作为主要利益相关者和共同开发合作伙伴，首先确定了服务不足的社区建设脱碳的社会心理和技术需求，并共同背景化。与社区合作开发了一个创新的建筑能源建模平台，以预测家庭碳排放并改造成本和效益，然后在社区研讨会中使用该建模平台来研究它如何增强。地方机构、决策、该项目的一个关键成果是其可复制的模型，让公众参与科学模型和数据，可用于帮助其他地方的社区驱动的脱碳规划。该奖项得到了社会理事会的支持，行为与经济 (SBE) 科学、工程理事会以及数学和物理科学理事会。该奖项反映了 NSF 的法定使命，并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，被认为值得支持。