GCR: The Transition to a Sustainable Energy Future

GCR：向可持续能源未来的过渡

• 批准号: 2020888
• 负责人: Matthew Lackner
• 金额: $ 354.27万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2020888&HistoricalAwards=false
• 关键词: GCR; Transition; Sustainable; Energy; Future

Transitioning the energy system from one dependent on conventional fossil energy to a sustainable energy system primarily supplied by renewable energy is one of society’s most pressing needs. Integrating increasing amounts of renewable energy into the electricity system is a technical challenge, as many renewable energy sources cannot be scheduled to coincide with the demand for electricity, but instead produce electricity when the sun is shining or the wind is blowing. Another challenge as the energy transition progresses is to ensure that all communities are able to participate. This project pursues convergence research at the intersection of these technical and societal challenges, designing and evaluating policies, markets, and algorithms for a future electricity system. To do this, the project will build a convergent team of engineers, computer scientists, social scientists, and policy scholars along with key stakeholders representing urban dwellers, their electric utility, and the independent system operator. The project will produce new knowledge that accelerates the energy transition, by enabling the integration of large amounts of renewables into the electric grid. The vision for this project is to learn the ways in which energy technologies, grid algorithms, market solutions and policy mechanisms can be designed so they account for both the complex and changing scientific realities of the energy system and socio-economic goals. The project seeks to (1) understand community priorities around transitioning the energy system; (2) develop metrics for quantifying system costs and access that will be used to assess technological, algorithmic, market and policy innovations; and (3) evaluate integrated market mechanisms, grid algorithms, generation, storage, and ownership structures in the context of distributed solar PV and large-scale offshore wind energy. Accomplishing project goals requires deep integration of scientists and engineers from different fields. With input from community members and industry stakeholders, the project team will develop a common language to communicate across the varied disciplines, leading to the development of linked models that range from moment-to-moment control algorithms, to hourly electricity market mechanisms, to long-term empirical evaluation of economic and other societal impacts. The project will build convergence among the team and community members through an electricity market simulation. The results of the project will facilitate increased integration of renewable sources into the electricity system. The research activities and stakeholder engagement will also recruit and mentor students from under-represented groups and developing relationships with underserved communities. The electricity market simulator will be offered as a resource for community organizations and local governments seeking civic engagement and discussion of energy policies.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.

将能源系统从依赖传统化石能源过渡到主要由可再生能源供应的可持续能源系统是社会最迫切的需求之一。将越来越多的可再生能源整合到电力系统中是一项技术挑战，因为许多可再生能源无法与电力需求相一致，而是在阳光明媚或刮风时发电。随着能源转型的进展，另一个挑战是确保所有社区都能够参与。该项目在这些技术和社会挑战的交叉点上进行融合研究，为未来的电力系统设计和评估政策，市场和算法。为此，该项目将建立一个由工程师、计算机科学家、社会科学家和政策学者组成的聚合团队，沿着代表城市居民、电力公司和独立系统运营商的关键利益相关者。该项目将产生新的知识，通过将大量可再生能源整合到电网中来加速能源转型。该项目的愿景是学习能源技术、电网算法、市场解决方案和政策机制的设计方法，使其既能满足能源系统复杂和不断变化的科学现实，又能满足社会经济目标。 该项目旨在（1）了解社区围绕能源系统转型的优先事项;（2）制定量化系统成本和访问的指标，用于评估技术，算法，市场和政策创新;（3）在分布式太阳能光伏和大规模海上风能的背景下评估综合市场机制，电网算法，发电，存储和所有权结构。 实现项目目标需要来自不同领域的科学家和工程师的深度融合。在社区成员和行业利益相关者的投入下，项目团队将开发一种通用语言，用于跨不同学科进行沟通，从而开发从时刻控制算法到每小时电力市场机制的链接模型，以及对经济和其他社会影响的长期经验评估。该项目将通过电力市场模拟在团队和社区成员之间建立融合。该项目的成果将促进可再生能源更多地融入电力系统。研究活动和利益攸关方的参与还将招募和指导来自代表性不足群体的学生，并与服务不足的社区建立关系。电力市场模拟器将作为社区组织和地方政府寻求公民参与和讨论能源政策的资源提供。该奖项反映了NSF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

CarbonCast: multi-day forecasting of grid carbon intensity

CarbonCast：电网碳强度的多日预测

• DOI: 10.1145/3563357.3564079
• 发表时间: 2022
• 期刊: and Transportation (BuildSys ’22
• 作者: Maji, Diptyaroop;Shenoy, Prashant;Sitaraman, Ramesh K.
• 通讯作者: Sitaraman, Ramesh K.

Towards equity in energy efficiency analyses.

实现能源效率分析的公平。

• DOI: 10.1145/3486611.3492411
• 发表时间: 2021
• 期刊: and Transportation
• 作者: Wamburu, J.;Grazier, E.;Irwin, D.;Crago, C.;Shenoy, P.
• 通讯作者: Shenoy, P.

Flood risk behaviors of United States riverine metropolitan areas are driven by local hydrology and shaped by race

• DOI: 10.1073/pnas.2016839118
• 发表时间: 2021-03-30
• 期刊: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• 影响因子: 11.1
• 作者: Knighton, James;Hondula, Kelly;Elliott, Rebecca
• 通讯作者: Elliott, Rebecca

Just decarbonization? Environmental inequality, air quality, and the clean energy transition

• DOI: 10.1093/icc/dtad010
• 发表时间: 2023-03-07
• 期刊: INDUSTRIAL AND CORPORATE CHANGE
• 影响因子: 2.5
• 作者: Diana, Bridget;Ash, Michael;Boyce, James K.
• 通讯作者: Boyce, James K.

A moment in the sun: solar nowcasting from multispectral satellite data using self-supervised learning

• DOI: 10.1145/3538637.3538854
• 发表时间: 2021-12
• 期刊: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems
• 作者: A. S. Bansal;Trapit Bansal;David E. Irwin