FMRG: Eco: CAS-Climate: Reimagining Cement Manufacturing for Carbon Neutrality (NeutraCEM)

FMRG：生态：CAS-气候：重新构想水泥制造以实现碳中和 (NeutraCEM)

• 批准号: 2228782
• 负责人: Narayanan Neithalath
• 金额: $ 300万
• 依托单位: Arizona State University
• 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: 2023-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2228782&HistoricalAwards=false
• 关键词: FMRG; Eco; CAS; Climate; Reimagining

Portland cement is the primary binding agent in billions of tons of concrete used every year for construction of nearly all forms of physical infrastructure. Its worldwide production, amounting to 4.5 billion tons per year, is responsible for ~8% of anthropogenic carbon dioxide emissions and ~25% of all industry carbon dioxide emissions. Cement manufacturing is among the hardest industries to decarbonize because the carbon dioxide emissions are unavoidable results of essential chemical reactions (e.g., decarbonation of limestone to produce lime and carbon dioxide) and high-temperature processes powered by carbon dioxide -intensive combustion of fossil fuels. As the U.S. embarks on a once-in-a-century infrastructure revival program, while also committing to slash carbon dioxide emissions by 50% by 2030 (to limit global warming to 1.5 degree Celsius, as per the Paris Agreement), there is an urgent need to disruptively transform cement manufacturing, especially considering that the production-and-use of Portland cement is poised to grow to 6 Gt by 2030. This project reimagines cement production through end-to-end technological breakthroughs that features a solar energy-powered, two-stage process: a novel electrochemical decarbonation process to produce lime without attendant carbon dioxide release; and ultrafast production of cement via a novel high temperature synthesis procedure. The two-stage process enables unprecedented manufacturing capabilities; with cost-, energy-, and carbon dioxide -efficiencies substantially better than those of contemporary manufacturing technologies. The project is supported by the Division of Materials Research (DMR) in the Directorate for Mathematical and Physical Sciences (MPS), and co-funded by the Division of Chemistry (CHE) in MPS, the Division of Civil, Mechanical and Manufacturing Innovation (CMMI) in the Directorate for Engineering (ENG), and the Division of Undergraduate Education in the Directorate for Education and Human Resources (EHR).The overarching goal of this project is to enable the production of Portland cement, as well as other lime-based cements, in a carbon -neutral and energy-efficient manner. To achieve this goal, the project advances several technological innovations: (1) Low-temperature, carbon-neutral decomposition of limestone into lime; (2) Ultrafast production of cements, that are physically and chemically similar to their commercial counterparts, via a high temperature synthesis procedure; (3) Use of renewable energy, in lieu of fossil fuels, to power all sub-processes of cement manufacturing; and (4) Synergistic use of advanced experiments, thermodynamic and multiphysics simulations, and artificial intelligence to optimize the manufacturing process, that results in a family of sustainable, next-generation cements. Outcomes of this work are expected to substantially advance understanding of process parameters that influence the kinetics, efficiency, and quality of the products from both stages of the manufacturing process. A simple, easy-to-use software, with hardwired thermodynamics and machine learning engines, will be developed to aid manufacturers in ascertaining optimal recipes based on their cement production targets. The integrated education and workforce development plan emphasizes training of next generation of sustainable manufacturing researchers and engineers through conventional modalities, as well as novel means such as bootcamps, and workshop for advanced-skills training of skilled technical workers (STWs) and industry professionals.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.

波特兰水泥是每年用于建造几乎所有形式的有形基础设施的数十亿吨混凝土中的主要粘合剂。其全球产量每年达45亿吨，占人为二氧化碳排放量的8%，占所有工业二氧化碳排放量的25%。水泥制造业是最难脱碳的行业之一，因为二氧化碳排放是基本化学反应（例如，石灰石的脱碳酸作用产生石灰和二氧化碳）和由二氧化碳提供动力的高温过程-化石燃料的密集燃烧。随着美国开始实施百年一遇的基础设施复兴计划，同时承诺到2030年将二氧化碳排放量削减50%，（根据《巴黎协定》，将全球变暖限制在1.5摄氏度），迫切需要对水泥制造进行颠覆性改造，特别是考虑到波特兰水泥的生产和使用量到2030年将增长到6 Gt。该项目通过端到端的技术突破重塑水泥生产，该技术突破采用太阳能驱动的两阶段工艺：一种新型的电化学脱碳工艺，生产石灰而不会伴随二氧化碳释放;通过新型高温合成工艺超快生产水泥。这两个阶段的过程实现了前所未有的制造能力;成本，能源和二氧化碳效率大大优于当代制造技术。该项目由数学和物理科学局（MPS）材料研究部（DMR）支持，并由MPS化学部（CHE），工程局（ENG）土木，机械和制造创新部（CMMI）共同资助，以及教育和人力资源局（EHR）的本科教育司。该项目的总体目标是使波特兰水泥的生产，以及其他石灰基水泥，以碳中和和节能的方式。为实现这一目标，该项目推进了几项技术创新：（1）将石灰石低温、碳中和分解成石灰;（2）通过高温合成程序超快生产水泥，其物理和化学性质与商业对应物相似;（3）使用可再生能源代替化石燃料，为水泥生产的所有子流程提供动力;（4）利用可再生能源替代化石燃料，为水泥生产提供动力。以及（4）协同使用先进的实验、热力学和多物理场模拟以及人工智能来优化制造过程，从而产生一系列可持续的下一代水泥。预计这项工作的结果将大大提高对生产工艺两个阶段中影响动力学、效率和产品质量的工艺参数的理解。 将开发一个简单易用的软件，带有硬连线热力学和机器学习引擎，以帮助制造商根据其水泥生产目标确定最佳配方。综合教育和劳动力发展计划强调通过传统模式以及训练营等新手段培训下一代可持续制造研究人员和工程师，技术工人高级技能培训讲习班该奖项反映了NSF的法定使命，并通过使用基金会的智力价值进行评估，更广泛的影响审查标准。

项目成果

Deep learning to predict the hydration and performance of fly ash-containing cementitious binders

• DOI: 10.1016/j.cemconres.2023.107093
• 发表时间: 2023-03
• 期刊: Cement and Concrete Research
• 影响因子: 11.4
• 作者: Taihao Han;Rohan Bhat;Sai Akshay Ponduru;A. Sarkar;Jie Huang;G. Sant;Hongyan Ma;N. Neithalath;Aditya Kumar

Modeling hydration kinetics of sustainable cementitious binders using an advanced nucleation and growth approach

使用先进的成核和生长方法模拟可持续水泥粘合剂的水化动力学

• DOI: 10.1016/j.conbuildmat.2023.133327
• 发表时间: 2023
• 期刊: Construction and Building Materials
• 影响因子: 7.4
• 作者: Han, Taihao;Huang, Jie;Sant, Gaurav;Neithalath, Narayanan;Goel, Ashutosh;Kumar, Aditya
• 通讯作者: Kumar, Aditya

On the use of machine learning and data-transformation methods to predict hydration kinetics and strength of alkali-activated mine tailings-based binders

• DOI: 10.1016/j.conbuildmat.2024.135523
• 发表时间: 2024-02-21
• 期刊: CONSTRUCTION AND BUILDING MATERIALS
• 影响因子: 7.4
• 作者: Surehali，Sahil;Han，Taihao;Neithalath，Narayanan
• 通讯作者: Neithalath，Narayanan

Toward smart and sustainable cement manufacturing process: Analysis and optimization of cement clinker quality using thermodynamic and data-informed approaches

• DOI: 10.1016/j.cemconcomp.2024.105436
• 发表时间: 2024-01-11
• 期刊: CEMENT & CONCRETE COMPOSITES
• 影响因子: 10.5
• 作者: Goncalves，Jardel P.;Han，Taihao;Kumar，Aditya
• 通讯作者: Kumar，Aditya