协同优化多模式汽车CO2边际减排成本综合评估

IF 5.2 3区 工程技术 Q2 ENERGY & FUELS
Energy & Fuels Pub Date : 2024-12-19 eCollection Date: 2025-01-09 DOI:10.1021/acs.energyfuels.4c03451
Nicholas A Carlson, Michael S Talmadge, George G Zaimes, Troy R Hawkins, Yuan Jiang
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引用次数: 0

摘要

燃料与发动机联合优化(Co-Optima)是一个由美国能源部资助的研究与开发联盟,它与来自国家实验室、大学和工业界的合作伙伴一起,在生物燃料和燃烧科学的交叉领域进行多学科研究。自2016年以来,Co-Optima团队一直在研究高质量的生物混合物及其特性,作为提高现代发动机效率的设计变量,同时为道路轻型和重型车辆脱碳。本分析的目的是结合并扩展对Co-Optima多模式生物混合液的研究,该混合液与石油汽油混合形成高效燃料,用于火花点火和先进的压缩点火发动机。因此,采用可再生和循环资源衍生的10种不同的多模式生物混合物对经济和环境的影响进行了量化。每一种生物混合物都是通过几个变量来评估的,包括:(1)目标混合水平为10%、20%和30% vol %,(2)从2030年到2050年的时间,(3)原油基准价格,(4)车辆寿命里程,(5)车辆增量成本。在考虑输入变量不确定性的情况下,利用先前Co-Optima研究的炼油厂优化模型和生命周期分析工具,开发了蒙特卡罗模拟器,以样品二氧化碳的边际减排成本,或去除额外单位二氧化碳的成本,对应于每种生物混合物。结果表明,先进的多模式燃料发动机技术带来的效率提升和炼油厂操作的再优化,使几种生物混合物的预期边际减排成本接近于零。还探讨了可变重要性,以突出多模式技术的哪些方面在确定边际减排成本方面最具影响力。结果表明,Co-Optima多模式技术可以为抗电气化轻型汽车行业或近期减排提供经济可行的脱碳贡献,而Co-Optima燃料或替代品则可以进一步脱碳以达到净零状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comprehensive Assessment of the Marginal Abatement Costs of CO2 of Co-Optima Multi-Mode Vehicles.

The Co-Optimization of Fuels and Engines (Co-Optima) is a research and development consortia funded by the U.S. Department of Energy, which has engaged partners from national laboratories, universities, and industry to conduct multidisciplinary research at the intersection of biofuels and combustion sciences. Since 2016, the Co-Optima team has examined high-quality bioblendstocks, and their properties, as design variables for increasing efficiency in modern engines while decarbonizing on-road light- and heavy-duty vehicles. The objective of this analysis is to combine and expand upon research into Co-Optima multi-mode bioblendstocks, which blend with petroleum gasoline to form high efficiency fuels for combustion in both spark ignition and advanced compression ignition engines. Consequently, the economic and environmental impacts of deploying 10 different multi-mode bioblendstocks derived from renewable and circular resources are quantified. Each bioblendstock is evaluated across several variables including (1) target blend levels of 10, 20, and 30 vol %, (2) years from 2030 to 2050, (3) crude oil benchmark prices, (4) vehicle lifetime miles, and (5) incremental vehicle costs. A Monte Carlo simulator is developed using a refinery optimization model and life-cycle analysis tool from prior Co-Optima research to sample marginal abatement costs of CO2, or cost of removing an additional unit of CO2, corresponding to each bioblendstock while considering input variable uncertainties. Results show that the combination of efficiency gains from advanced multi-mode fuel-engine technologies and the reoptimization of refinery operations results in several bioblendstocks demonstrating near-zero expected marginal abatement costs. Variable importances are also explored to highlight which aspects of the multi-mode technology are most influential in determining marginal abatement costs. Results suggest that Co-Optima multi-mode technology could provide economically viable decarbonization contributions to electrification-resistant light-duty vehicle sectors or near-term emission reductions, while Co-Optima fuels or alternatives decarbonize further to reach net-zero status.

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来源期刊
Energy & Fuels
Energy & Fuels 工程技术-工程:化工
CiteScore
9.20
自引率
13.20%
发文量
1101
审稿时长
2.1 months
期刊介绍: Energy & Fuels publishes reports of research in the technical area defined by the intersection of the disciplines of chemistry and chemical engineering and the application domain of non-nuclear energy and fuels. This includes research directed at the formation of, exploration for, and production of fossil fuels and biomass; the properties and structure or molecular composition of both raw fuels and refined products; the chemistry involved in the processing and utilization of fuels; fuel cells and their applications; and the analytical and instrumental techniques used in investigations of the foregoing areas.
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