SAI-R: Strengthening American Electricity Infrastructure for an Electric Vehicle Future: An Energy Justice Approach

SAI-R：加强美国电力基础设施以实现电动汽车的未来：能源正义方法

• 批准号: 2228603
• 负责人: Jie Xu
• 金额: $ 75万
• 依托单位: George Mason 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=2228603&HistoricalAwards=false
• 关键词: SAI; Strengthening; American; Electricity; Infrastructure

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.Widespread adoption of electric vehicles (EVs) is seen as one key strategy to curb carbon emissions, reduce air pollution, and improve public health. However, EVs also generate high demand and exert additional pressure on current and future electricity infrastructure. Past research on EVs has not sufficiently attended to how EV deployment and the needed infrastructure upgrades may contribute to energy injustice and widen existing equity gaps. This SAI research project develops an energy justice approach to assessing and reducing the negative effects of EV deployment on non-users. It focuses on the costs of infrastructure upgrades and electricity consumption. Equity interventions are developed and policy guidance is suggested in ways that produce benefits for all segments of society during the electrification transition. A multidisciplinary project team uses innovative data analytics and advanced computational modeling methods to measure various forms of energy justice. Collaboration with stakeholders helps to facilitate policy design and implementation. By strengthening American electric infrastructure, the nation is better positioned to move toward a sustainable and just EV future.This project integrates social and techno-engineering approaches to holistically assess and mitigate potential injustice introduced by the EV transition. On the social dimension, the project develops an energy justice framework mapped to an EV future. It also formulates metrics to guide qualitative and quantitative assessments of potential injustices stemming from the transition. The framework specifically aims to protect non-EV users, particularly those in low- and moderate-income communities that may otherwise bear disproportionate costs for electric infrastructure upgrades and electricity consumption surges. On the techno-engineering dimension, new socioeconomic and spatiotemporal methods are created to analyze multimodal datasets and to provide accurate predictions of EV electricity demand and electricity generation growth. New computational optimization and analytics tools are developed to apply agent-based models to study the future electric grid, EV, and stakeholder interactions at fine resolutions. A policy guide is developed to provide socially and technically feasible solutions to reduce injustice in the EV transition, thereby facilitating a just EV future inclusive of all.This award is supported by the Directorate for Social, Behavioral, and Economic (SBE) Sciences and the Directorate for Engineering.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知识，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为基础。范围广泛采用电动汽车（EVS），可作为一种关键策略，以遏制碳纤维效应，降低空气污染，并改善公共污染，并改善公共健康。但是，电动汽车还会产生高需求，并对当前和未来的电力基础设施施加额外的压力。过去对电动汽车的研究还没有足够的注意力对电动汽车部署和所需的基础设施升级如何有助于能源伤害和广泛的现有股权差距。该SAI研究项目开发了一种能源正义方法，用于评估和减少电动汽车部署对非用户的负面影响。它着重于基础设施升级和电力消耗的成本。制定了股权干预措施，并以在电气化过渡期间为社会所有细分市场产生利益的方式提出了政策指导。多学科项目团队使用创新的数据分析和高级计算建模方法来衡量各种形式的能源正义。与利益相关者的合作有助于促进政策设计和实施。通过加强美国电力基础设施，该国更有位置，可以朝着可持续发展和公正的未来发展。该项目将社会和技术工程的方法整合在一起，以整体评估和减轻由IV过渡引起的潜在伤害。在社会维度上，该项目开发了一个映射到EV未来的能源正义框架。它还制定了指标，以指导因过渡引起的潜在伤害的定性和定量评估。该框架专门旨在保护非EV用户，尤其是那些在低低收入社区中的使用者，否则这些框架可能会在电力基础设施升级和电力消耗量中承担不成比例的成本。在技​​术工程维度上，创建了新的社会经济和空间时间方法来分析多模式数据集并提供对电动汽车电动需求和发电增长的准确预测。开发了新的计算优化和分析工具，以应用基于代理的模型来研究未来的电网，EV和利益相关者的相互作用。制定了一项政策指南，以提供社会和技术上可行的解决方案来减少自动化车过渡中的不公正现象，从而支持公正的未来，包括所有人。该奖项得到了社会，行为和经济和经济（SBE）科学局和工程局的支持，这一奖项反映了NSF的法定任务和审查的范围，这表明了由Infection Infection Infection通过评估来进行评估。