CAREER: Coordinating climate change mitigation and adaptation strategies across the energy-water nexus: An integrated research and education framework

职业：协调能源-水关系中的气候变化减缓和适应战略：综合研究和教育框架

• 批准号: 1845931
• 负责人: Kelly Sanders
• 金额: $ 50.75万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-02-15 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1845931&HistoricalAwards=false
• 关键词: CAREER; Coordinating; climate; change; mitigation

This research will develop conceptual models (1) to quantify how climate influences the operational and environmental performance of electric power generation resources within the power sector; (2) to evaluate the opportunities and challenges associated with emerging consumer demand, and (3) to develop quantitative metrics to compare tradeoffs across these diverse supply and demand resources, particularly as they relate to climate mitigation, adaptation, and environmental sustainability priorities. Each objective leverages insights and methods established through past energy-water nexus work by the Principal Investigator (PI). The project will build a foundation for the PI's long-term goal of creating more robust, adaptive, and sustainable power systems by coordinating the behavior of power suppliers and power consumers through market structures and automation to maximize the power sector's environmental sustainability, resilience to disruption, and efficiency.This CAREER project utilizes physics-based modeling techniques to build a statistical framework that offers probabilistic insight into how climate change might affect the operation and environmental externalities of the power sector across a continuum of historical through extreme climate change projections. Frameworks are designed to compare conventional and emerging supply-side and demand-side resources through the lens of the challenges imposed by future warming. In the energy sector, the knowledge developed through this CAREER project promises to be an important step to enable new methodologies to inform and assess tradeoffs for electric infrastructure build-outs, DSM interventions, future electricity market structures, and real-time pricing strategies that consider regional and environmental conditions (rather than reliability and cost alone). The project's generalized statistical framework could also be applied to assess how other critical infrastructures, such as water, agricultural and transportation systems, vary in terms of their climate vulnerability, mitigation, and adaptation tradeoffs. This framework also allows analysts to present stakeholders with anticipated performance tradeoffs across a probabilistic distribution of climate conditions, rather than a single projection that might be contentious in some stakeholder groups. Annual outreach events leveraging the PI's role as a Resident Faculty at USC will connect underserved K-12 groups with freshmen in the PI's dormitory, creating a spirit of mentorship, while empowering underserved minorities with the knowledge to advocate for their own environmental justice. These events will utilize the Parkside Interactive Sustainability Laboratory, a community gardening space built by the PI to introduce students to sustainability through activity-based environmental programming. The themes, data, and models generated through this project will be incorporated into the PI's existing undergraduate and graduate classes, where students will be challenged to create web-based educational content for younger students to facilitate knowledge sharing. In the broader context, drought and heatwaves have already prompted significant power curtailments across the world. Considering that installed generation capacity is projected to grow by 140% globally by 2040, generalized frameworks to improve and protect the performance of the power grid within the context of regional climate will be critical for making wise investment decisions. By connecting K-12, undergraduate, graduate students and their broader social and policy-making communities, progress will be made in educating a diverse workforce, prepared to address society's critical challenges.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.

本研究将开发概念模型(1)来量化气候如何影响电力部门内发电资源的运行和环境绩效；(2)评估与新兴消费者需求相关的机遇和挑战；(3)制定定量指标，以比较这些不同供需资源之间的权衡，特别是与气候减缓、适应和环境可持续性优先事项相关的权衡。每个目标都利用了首席研究员（PI）通过过去的能量-水关系工作建立起来的见解和方法。该项目将通过市场结构和自动化协调电力供应商和电力消费者的行为，从而最大限度地提高电力部门的环境可持续性、对中断的适应能力和效率，为PI的长期目标奠定基础，即创建更强大、适应性更强和可持续的电力系统。CAREER项目利用基于物理的建模技术构建一个统计框架，通过极端气候变化预测，从概率角度了解气候变化如何影响电力部门的运营和环境外部性。这些框架旨在通过未来变暖带来的挑战来比较传统和新兴的供应侧和需求侧资源。在能源领域，通过CAREER项目开发的知识有望成为实现新方法的重要一步，为电力基础设施建设、DSM干预、未来电力市场结构以及考虑区域和环境条件（而不仅仅是可靠性和成本）的实时定价策略提供信息和评估权衡。该项目的广义统计框架也可用于评估其他关键基础设施，如水、农业和运输系统，在气候脆弱性、减缓和适应权衡方面的差异。该框架还允许分析师向利益相关者展示跨气候条件概率分布的预期绩效权衡，而不是可能在某些利益相关者群体中引起争议的单一预测。利用PI作为南加州大学驻校教师的角色，每年的外展活动将把缺乏服务的K-12小组与PI宿舍的新生联系起来，创造一种指导精神，同时赋予缺乏服务的少数民族知识，以倡导他们自己的环境正义。这些活动将利用帕克赛德互动可持续发展实验室，这是一个由PI建造的社区园艺空间，通过基于活动的环境规划向学生介绍可持续发展。通过该项目产生的主题、数据和模型将被纳入PI现有的本科和研究生课程，学生们将面临为年轻学生创建基于网络的教育内容的挑战，以促进知识共享。在更广泛的背景下，干旱和热浪已经在世界各地引发了大规模的限电。考虑到到2040年全球发电装机容量预计将增长140%，在区域气候背景下改善和保护电网性能的通用框架对于做出明智的投资决策至关重要。通过将K-12、本科生、研究生与其更广泛的社会和决策社区联系起来，将在教育多样化的劳动力方面取得进展，为应对社会的重大挑战做好准备。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Reclaiming wastewater with increasing salinity for potable water reuse: Water recovery and energy consumption during reverse osmosis desalination

• DOI: 10.1016/j.desal.2021.115316
• 发表时间: 2021-12
• 期刊: Desalination
• 影响因子: 9.9
• 作者: Xin Wei;K. Sanders;Amy E. Childress

How do non-carbon priorities affect zero-carbon electricity systems? A case study of freshwater consumption and cost for Senate Bill 100 compliance in California

• DOI: 10.1016/j.apenergy.2020.114824
• 发表时间: 2020-05
• 期刊: Applied Energy
• 影响因子: 11.2
• 作者: Brian Tarroja;R. Peer;K. Sanders;E. Grubert

Energy use for urban water management by utilities and households in Los Angeles

洛杉矶公用事业和家庭用于城市水管理的能源使用

• DOI: 10.1088/2515-7620/ab5e20
• 发表时间: 2020
• 期刊: Environmental Research Communications
• 影响因子: 2.9
• 作者: Porse, Erik;Mika, Kathryn B.;Escriva-Bou, Alvar;Fournier, Eric D.;Sanders, Kelly T.;Spang, Edward;Stokes-Draut, Jennifer;Federico, Felicia;Gold, Mark;Pincetl, Stephanie
• 通讯作者: Pincetl, Stephanie

Using neural networks to forecast marginal emissions factors: A CAISO case study

使用神经网络预测边际排放因子：CAISO 案例研究

• DOI: 10.1016/j.jclepro.2023.139895
• 发表时间: 2024
• 期刊: Journal of Cleaner Production
• 影响因子: 11.1
• 作者: Mayes, Stepp;Klein, Nicholas;Sanders, Kelly T
• 通讯作者: Sanders, Kelly T

Spatially Allocating Life Cycle Water Use for US Coal‐Fired Electricity across Producers, Generators, and Consumers

• DOI: 10.1002/ente.201901497
• 发表时间: 2020-03
• 期刊: Energy Technology
• 影响因子: 3.8
• 作者: Measrainsey Meng;E. Grubert;R. Peer;K. Sanders