FMRG: Cyber: Manufacturing USA: Exploiting Spatio-Temporal Interdependency Between Electrochemical Manufacturing and Power Grid to Optimize Flexibility and Sustainability

FMRG:网络:美国制造:利用电化学制造和电网之间的时空相互依赖性来优化灵活性和可持续性

基本信息

  • 批准号:
    2328160
  • 负责人:
  • 金额:
    $ 299.95万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-01 至 2027-08-31
  • 项目状态:
    未结题

项目摘要

The chemical manufacturing sector and the power grid are becoming increasingly coupled. This is driven by their shared interest in decarbonizing operations: the chemical sector is aiming to decarbonize via electrification of key technologies, while the grid is aiming to decarbonize via adoption of renewable (wind/solar) power. As such, mitigating the inherent intermittency of renewable power is a grand challenge that needs to be overcome to achieve decarbonization of both sectors. This will require the design of new and flexible technologies that can shift power demands from the seconds to seasons timescale and from the local to the national level. The chemical sector is uniquely positioned to help provide these unprecedented levels of flexibility. This can be achieved via modular electrochemical (EC) technologies that use highly intermittent power to produce chemicals in a distributed manner and via the efficient production of energy carriers (e.g., hydrogen, ammonia, formic acid) that can be used to store, transport, and re-generate power. To realize this vision, a paradigm shift under which EC technologies are co-designed with electricity markets is needed; specifically, EC technologies need to be designed as flexibility providers that actively participate in electricity markets and such markets need to properly remunerate flexibility services. More broadly, EC technologies are vital sector-coupling assets that can provide flexibility to enable risk mitigation (e.g., extreme weather, cyber-attacks) and can play a key role in ensuring that the power grid and chemical supply chains operate in a reliable, sustainable, and economic manner. Accordingly, This Future CyberManufacturing research grant will boost American chemical manufacturing and advance the prosperity and welfare of the United States. The project will also lead to new design principles, simulation models, data, and technologies that enhance the training of the next-generation workforce of chemical engineers, electrical engineers, and chemists to leverage multiscale thinking to develop technologies and solutions. The project will also lead to new business practices that foster coordination between chemical and power sectors with the goal of helping accelerate the adoption of new technologies and decarbonization efforts. The goal of this Future Manufacturing project is to conduct fundamental computational and experimental research to design new and flexible electrochemical (EC) technologies that best integrate with the power grid and with chemical supply chains, to identify key aspects that limit flexibility of these technologies, and to determine how to best exploit their flexibility to achieve economic and sustainability goals at a societal scale. Specifically, an interdisciplinary team will: (i) develop infrastructure-level modeling techniques that capture the multiscale coupling between the chemical and power sectors that capture different types of EC technologies and help identify amounts and types of flexibility needed; (ii) develop device-level models for EC technologies that capture the interplay between flexibility and design (e.g., cell capacity, ramping capacity, efficiency, durability); (iii) develop density functional theory models that help identify electrode materials to meet design specifications; and (iv) develop experimental procedures to evaluate different reaction chemistries, materials, and EC configurations (e.g., coupled, decoupled, tandem, cascade), and to collect key data that informs modeling and economic/environmental assessments. These capabilities will be combined via convergent studies that will answer questions of societal and industrial relevance. The convergent research approach will lead to new design principles, simulation models, data, and technologies that will serve as the backbone of a workforce development plan that will train a new generation of chemical engineers, electrical engineers, and chemists that leverage multiscale thinking to develop technologies and solutions. The project will lead to new business practices that foster coordination between the chemical and power sectors with the goal of helping accelerate the adoption of EC technologies and decarbonization efforts. This Future Manufacturing award was supported by the Divisions of Civil, Mechanical and Manufacturing Innovation (CMMI), Chemical, Bioengineering, Environmental and Transport Systems (CBET), Engineering Education and Centers (EEC), Chemistry (CHE), and the Division of Mathematical Sciences (DMS).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.
化学制造部门和电网越来越多。这是由于他们对脱碳操作的共同兴趣所驱动的:化学部门的目的是通过电气化关键技术来脱碳,而网格的目的是通过采用可再生(风/太阳能)功率来脱碳。因此,减轻可再生能力的继承间歇性是一个巨大的挑战,需要克服以实现这两个部门的脱碳。这将需要设计新的和灵活的技术,这些技术可以将电力需求从几秒钟转移到季节时间范围以及从本地层面到国家一级。化学部门的位置是有助于提供这些前所未有的灵活性水平。这可以通过模块化电化学(EC)技术来实现,这些技术(EC)技术使用高度间歇性的功率以分布的方式产生化学物质,并通过有效生产能量载体(例如氢,氨,正式酸)来存储,运输和重新生成功率。为了实现这一愿景,需要与电力市场共同设计的EC技术的范式转变;具体而言,EC技术需要被设计为灵活的提供商,这些提供商积极参与电力市场,并且这些市场需要适当偿还灵活的服务。更广泛地说,EC技术是重要的部门耦合资产,可以为降低风险(例如,极端天气,网络攻击)提供灵活性,并且可以在确保以可靠,可持续和经济方式运行的电力网格和化学供应链中发挥关键作用。根据这项未来的网络制造研究,将促进美国化学制造业,并促进美国的繁荣和福利。该项目还将导致新的设计原理,模拟模型,数据和技术,以增强化学工程师,电气工程师和化学家的下一代劳动力的培训,以利用多尺度思维来开发技术和解决方案。该项目还将导致新的商业实践,以促进化学和电力部门之间的协调,以帮助加速采用新技术和脱碳。这个未来的制造项目的目标是进行基本的计算和实验研究,以设计最能与电网和化学供应链融合在一起的新的和灵活的电化学(EC)技术,以确定限制这些技术灵活性的关键方面,并确定如何在社交规模上最佳利用其灵活性,以实现其灵活性。具体而言,跨学科团队将:(i)开发基础架构级建模技术,以捕获化学和功率部门之间的多尺度耦合,这些化学和功率部门捕获了不同类型的EC技术并帮助确定所需的数量和灵活性; (ii)开发用于捕获灵活性和设计之间相互作用的EC技术的设备级模型(例如,细胞容量,坡道容量,效率,耐用性); (iii)开发密度功能理论模型,有助于识别电极材料以满足设计规格; (iv)开发实验程序来评估不同的反应化学,材料和EC配置(例如,耦合,脱钩,串联,串联),并收集关键数据,以告知建模和经济/环境评估。这些功能将通过收敛研究结合在一起,这些研究将回答有关社会和工业相关性的问题。收敛的研究方法将导致新的设计原理,模拟模型,数据和技术,这些技术将成为劳动力开发计划的骨干,该计划将培训新一代化学工程师,电气工程师和化学家,以利用多尺度思考来开发技术和解决方案。该项目将导致新的业务实践,以促进化学和电力部门之间的协调,以帮助加速采用EC技术和脱碳工作。这项未来的制造奖得到了民用,机械和制造创新(CMMI),化学,生物工程,环境和运输系统(CBET),工程教育和中心(EEC),化学(CHE),化学教育和中心(CHE),以及数学科学划分(DMS)的划分(DMS)的基础,这反映了NSF的Inforthorial Indorter of Fielderial of teem the eym offiral of teem offiratory of teem offiratiral of teem offient offient of deem offiffient of deem的奖励。审查标准。

项目成果

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Victor Zavala Tejeda其他文献

Victor Zavala Tejeda的其他文献

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{{ truncateString('Victor Zavala Tejeda', 18)}}的其他基金

NEW AND SCALABLE PARADIGMS FOR DATA-DRIVEN MODEL PREDICTIVE CONTROL
数据驱动模型预测控制的新的、可扩展的范式
  • 批准号:
    2315963
  • 财政年份:
    2023
  • 资助金额:
    $ 299.95万
  • 项目类别:
    Standard Grant
EFRI DCheM: Distributed Photosynthetic Recovery of Livestock Waste Nutrients for Sustainable Production of Fertilizers
EFRI DCheM:畜牧废物养分的分布式光合回收用于肥料的可持续生产
  • 批准号:
    2132036
  • 财政年份:
    2021
  • 资助金额:
    $ 299.95万
  • 项目类别:
    Standard Grant
CAREER: OPTIMIZATION FORMULATIONS AND ALGORITHMS FOR THE ANALYSIS AND DESIGN OF HIERARCHICAL MODULAR SYSTEMS
职业:分层模块化系统分析和设计的优化公式和算法
  • 批准号:
    1748516
  • 财政年份:
    2018
  • 资助金额:
    $ 299.95万
  • 项目类别:
    Standard Grant
BIGDATA: IA: Collaborative Research: Data-Driven, Multi-Scale Design of Liquid-Crystals for Wearable Sensors for Monitoring Human Exposure and Air Quality
大数据:IA:协作研究:用于监测人体暴露和空气质量的可穿戴传感器的数据驱动、多尺度液晶设计
  • 批准号:
    1837812
  • 财政年份:
    2018
  • 资助金额:
    $ 299.95万
  • 项目类别:
    Standard Grant
CRISP 2.0 Type 2: Collaborative Research: Exploiting Interdependencies Between Computing and Electrical Power Infrastructures to Maximize Resilience and Flexibility
CRISP 2.0 类型 2:协作研究:利用计算和电力基础设施之间的相互依赖性来最大限度地提高弹性和灵活性
  • 批准号:
    1832208
  • 财政年份:
    2018
  • 资助金额:
    $ 299.95万
  • 项目类别:
    Standard Grant
Multi-Stakeholder Decision-Making for the Development of Livestock Waste-to-Biogas Systems
畜牧废物转化沼气系统发展的多方利益相关者决策
  • 批准号:
    1604374
  • 财政年份:
    2016
  • 资助金额:
    $ 299.95万
  • 项目类别:
    Standard Grant
Multi-Scale Predictive Control of Coupled Energy Networks
耦合能源网络的多尺度预测控制
  • 批准号:
    1609183
  • 财政年份:
    2016
  • 资助金额:
    $ 299.95万
  • 项目类别:
    Standard Grant

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  • 批准号:
    2328395
  • 财政年份:
    2024
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  • 项目类别:
    Standard Grant
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FMRG:网络:美国制造:支持 NextG 的未来制造 (NextGEM)
  • 批准号:
    2328260
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    2024
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  • 批准号:
    2328010
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    2023
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  • 批准号:
    2412020
  • 财政年份:
    2023
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  • 批准号:
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  • 财政年份:
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