GCR: The Transition to a Sustainable Energy Future

GCR：向可持续能源未来的过渡

基本信息

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

项目摘要

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.

将能源系统从一个依赖常规化石能源的一种转变为主要由可再生能源提供的可持续能源系统是社会最紧迫的需求之一。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不能安排与电力需求相吻合，而是在太阳闪耀或风吹来时产生电力。能源过渡进展的另一个挑战是确保所有社区都能参与。该项目在这些技术和社会挑战的交汇处进行融合研究，为未来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融合团队，以及代表城市居民，电力公司和独立系统运营商的主要利益相关者。该项目将通过使大量可再生能源集成到电网中，从而产生加速能源转变的新知识。该项目的愿景是学习能源技术，网格算法，市场解决方案和政策机制的方式，以便它们构成能源系统和社会经济目标的复杂和不断变化的科学现实。该项目试图（1）了解过渡能源系统的社区优先事项；（2）开发用于量化系统成本和访问的指标，该指标将用于评估技术，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，评估了集成的市场机制，网格算法，发电，存储和所有权结构。实现项目目标需要将不同领域的科学家和工程师深入整合。通过社区成员和行业利益相关者的意见，项目团队将开发一种通用语言，以在各种学科之间进行交流，从而开发了链接的模型，这些模型从瞬间到时刻的控制算法，每小时电力市场机制，再到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建立团队和社区成员之间的融合。该项目的结果将支持将可再生能源集成到电力系统中。研究活动和利益相关者的参与还将招募和指导来自代表性不足的群体的学生，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寻求公民参与和讨论能源政策讨论的地方政府提供资源。该奖项反映了NSF的法定任务，并且我们是否使用基金会的知识分子优点和更广泛的影响来审查标准。

项目成果

期刊论文数量（29）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

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
影响因子：
0
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
影响因子：
0
作者：
Wamburu, J.;Grazier, E.;Irwin, D.;Crago, C.;Shenoy, P.
通讯作者：
Shenoy, P.

Data-driven Decarbonization of Residential Heating Systems: An Equity Perspective.

数据驱动的住宅供暖系统脱碳：股权视角。

DOI：
10.1145/3538637.3538801
发表时间：
2022
期刊：
Proceedings of ACM Conference on Future Energy Systems (e-Energy
影响因子：
0
作者：
Wamburu, J.;Grazier, E.;Irwin, D.;Crago, C.;Shenoy, P.
通讯作者：
Shenoy, P.

AutoShare: Virtual community solar and storage for energy sharing

DOI：
10.1186/s42162-021-00144-w
发表时间：
2021-07
期刊：
Energy Informatics
影响因子：
0
作者：
Stephen Lee;Prashant J. Shenoy;K. Ramamritham;David E. Irwin
通讯作者：
Stephen Lee;Prashant J. Shenoy;K. Ramamritham;David E. Irwin

Equitable Network-Aware Decarbonization of Residential Heating at City Scale

DOI：
10.1145/3575813.3576870
发表时间：
2023-01
期刊：
Proceedings of the 14th ACM International Conference on Future Energy Systems
影响因子：
0
作者：
Adam Lechowicz;Noman Bashir;John Wamburu;M. Hajiesmaili;Prashant Shenoy
通讯作者：
Adam Lechowicz;Noman Bashir;John Wamburu;M. Hajiesmaili;Prashant Shenoy