SAI-R: A Community-Centered Decision-Making Framework for Microgrid Deployment

SAI-R：以社区为中心的微电网部署决策框架

• 批准号: 2228620
• 负责人: Yu Wang
• 金额: $ 75万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2228620&HistoricalAwards=false
• 关键词: SAI; Community; Centered; Decision; Making

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.The electric power grid is among the most critical of American infrastructures. All citizens and businesses depend on the integrity and resilience of the electric grid. Yet some groups are more vulnerable than others to disruptions caused by extreme events. Low-income households, senior citizens, people of color, and renters are most likely to be affected by energy insecurity and energy burdens during extreme events. This SAI research project provides equitable and sustainable solutions by designing mobile community microgrids to enhance power system resilience and address critical issues of energy justice and insecurity. Mobile community microgrids (MCMs) are small-scale electric networks powered by renewable energy resources that can be transported wherever needed. The project optimizes the design and placement of MCMs, balancing the unique needs of low-income households, community acceptance, and government regulations to ensure energy equity and justice and to maximize resilience against extreme events. The research advances an interdisciplinary collaboration between social science, electric supply, and community planning to improve the resilience and vitality of underserved communities.Microgrids are commonly developed based on technical and economic metrics. It is challenging to consider social and behavioral factors in the optimization process. This project develops a social psychological optimization method for the design and community acceptance of MCM technology. A community-centered decision-making framework based on social psychological and behavioral concepts is developed. The focus is on the adoption of MCMs to prioritize the needs of low-income households and enhance power grid resilience. Surveys, discrete choice experiments, behavioral interventions, and community co-design are used to evaluate acceptance of MCMs, estimate willingness to pay, and understand the community’s needs. The social, behavioral and economic factors are integrated into the design of MCMs using big-data analytics of real-time smart meter data and survey data. The project engages critical stakeholders, including vulnerable local populations and policy decision-makers. Priority is placed on the integration of diversity and a culture of inclusion in the research process and community outreach.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，旨在刺激以人为本的基本和潜在的变革性研究，从而增强美国的基础设施。有效的基础设施为社会经济活力和广泛的生活质量改善奠定了坚实的基础。强大，可靠和有效的基础设施刺激了私营部门的创新，发展经济，创造就业机会，使公共部门服务提供效率更高，增强社区，促进平等的机会，保护自然环境，增强国家安全，并为美国的领导燃料。为了实现这些目标，需要从整个科学和工程学科的专业知识。 SAI专注于对人类推理和决策，治理以及社会和文化过程的了解，使建立和维护有效的基础设施，以改善生活和社会，并以技术和工程的进步来建立。电力网格是美国基础设施中最关键的。所有公民和企业都取决于电网的完整性和弹性。然而，有些群体比其他团体更容易受到极端事件造成的破坏。在极端情况下，低收入家庭，老年人，有色人种和租金最有可能受到能源不安全和能量伯伦斯的影响。该SAI研究项目通过设计移动社区微电网来增强电力系统的弹性并解决能源正义和不安全感的关键问题，从而提供公平且可持续的解决方案。移动社区微电网（MCMS）是由可再生能源提供动力的小型电网络，可以随时运输。该项目优化了MCM的设计和位置，平衡低收入家庭的独特需求，社区接受和政府法规，以确保能源公平和正义，并最大程度地利用对极端事件的弹性。该研究推进了社会科学，电力供应与社区计划之间的跨学科合作，以改善服务不足的社区的韧性和活力。Microgrods通常是基于技术和经济指标开发的。在优化过程中考虑社会和行为因素是挑战的。该项目为MCM技术的设计和社区接受开发了一种社会心理优化方法。开发了一个以社区心理和行为概念为中心的决策框架。重点是采用MCM来优先考虑低收入家庭的需求并增强电网弹性。调查，离散选择实验，行为干预措施和社区共同设计用于评估对MCM的接受，估计付款的意愿以及了解社区的需求。使用实时智能电表数据和调查数据的大数据分析，将社会，行为和经济因素整合到MCM的设计中。该项目互动关键利益相关者，包括脆弱的当地人口和政策决策者。优先考虑多样性的融合以及在研究过程和社区外展中包含的文化。该奖项得到了社会，行为和经济（SBE）科学局，工程局和数学和物理科学局的支持。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛影响的审查标准来通过评估来支持的。